Understanding Medical Images Based on Computational Anatomy Models

[1]  Douglas W. Jones,et al.  Morphometric analysis of lateral ventricles in schizophrenia and healthy controls regarding genetic and disease-specific factors. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Nikos Paragios,et al.  Prior Knowledge, Random Walks and Human Skeletal Muscle Segmentation , 2012, MICCAI.

[3]  Xiaodong Wu,et al.  Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search , 2008, IEEE Transactions on Medical Imaging.

[4]  Pierre-Marc Jodoin,et al.  3D segmentation of abdominal aorta from CT-scan and MR images , 2012, Comput. Medical Imaging Graph..

[5]  Shandong Wu,et al.  Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method. , 2013, Medical physics.

[6]  Milan Sonka,et al.  Segmentation of pathological and diseased lung tissue in CT images using a graph-search algorithm , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[7]  Daisuke Deguchi,et al.  Automated Anatomical Labeling of Bronchial Branches Extracted from CT Datasets Based on Machine Learning and Combination Optimization and Its Application to Bronchoscope Guidance , 2009, MICCAI.

[8]  S. Maier,et al.  Microstructural Development of Human Newborn Cerebral White Matter Assessed in Vivo by Diffusion Tensor Magnetic Resonance Imaging , 1998, Pediatric Research.

[9]  R. Tibshirani,et al.  Sparse inverse covariance estimation with the graphical lasso. , 2008, Biostatistics.

[10]  Dongsung Kim,et al.  A fully automatic vertebra segmentation method using 3D deformable fences , 2009, Comput. Medical Imaging Graph..

[11]  Hiroshi Fujita,et al.  Computerized mass detection in whole breast ultrasound images: reduction of false positives using bilateral subtraction technique , 2007, SPIE Medical Imaging.

[12]  Karl J. Friston,et al.  Why Voxel-Based Morphometry Should Be Used , 2001, NeuroImage.

[13]  Milan Sonka,et al.  3-D segmentation of retinal blood vessels in spectral-domain OCT volumes of the optic nerve head , 2010, Medical Imaging.

[14]  Benjamin Thyreau,et al.  Correlations among Brain Gray Matter Volumes, Age, Gender, and Hemisphere in Healthy Individuals , 2011, PloS one.

[15]  Takayuki Kitasaka,et al.  Automated extraction of aorta and pulmonary artery in mediastinum from 3D chest x-ray CT images without contrast medium , 2002, SPIE Medical Imaging.

[16]  T. Katsuda,et al.  Functional residual capacity breath hold for subtraction image of dynamic liver MRI. , 2009, European journal of radiology.

[17]  L. Antiga,et al.  Computational geometry for patient-specific reconstruction and meshing of blood vessels from MR and CT angiography , 2003, IEEE Transactions on Medical Imaging.

[18]  Kim L. Boyer,et al.  Robust Extraction of the Optic Nerve Head in Optical Coherence Tomography , 2004, ECCV Workshops CVAMIA and MMBIA.

[19]  C R Jack,et al.  Voxel-based morphometry patterns of atrophy in FTLD with mutations in MAPT or PGRN , 2009, Neurology.

[20]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[21]  Yuichiro Hayashi,et al.  A method for automated anatomical labeling of abdominal veins extracted from 3D CT images , 2013, Medical Imaging.

[22]  Xiangrong Zhou,et al.  Model-Based Approach to Recognize the Rectus Abdominis Muscle in CT Images , 2013, IEICE Trans. Inf. Syst..

[23]  E. Melhem,et al.  Periventricular leukomalacia: relationship between lateral ventricular volume on brain MR images and severity of cognitive and motor impairment. , 2000, Radiology.

[24]  Ronald M. Summers,et al.  Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation , 2012, IEEE Transactions on Medical Imaging.

[25]  Fred L. Bookstein,et al.  “Voxel-Based Morphometry” Should Not Be Used with Imperfectly Registered Images , 2001, NeuroImage.

[26]  J. Friedman Greedy function approximation: A gradient boosting machine. , 2001 .

[27]  Graham M. Treece,et al.  Automatic Segmentation and Discrimination of Connected Joint Bones from CT by Multi-atlas Registration , 2014 .

[28]  Boris Hermann,et al.  Robust segmentation of intraretinal layers in the normal human fovea using a novel statistical model based on texture and shape analysis. , 2010, Optics express.

[29]  Karl Zilles,et al.  A New Approach to Fast Elastic Alignment with Applications to Human Brain , 1996, VBC.

[30]  T. Katsuda,et al.  High resolution T2 weighted liver MR imaging using functional residual capacity breath-hold with a 1.0-Tesla scanner. , 2009, European journal of radiology.

[31]  Nadia Magnenat-Thalmann,et al.  Anatomical Modelling of the Musculoskeletal System from MRI , 2006, MICCAI.

[32]  Huiqi Li,et al.  Automated feature extraction in color retinal images by a model based approach , 2004, IEEE Transactions on Biomedical Engineering.

[33]  Guoyan Zheng,et al.  A 2D/3D correspondence building method for reconstruction of a patient-specific 3D bone surface model using point distribution models and calibrated X-ray images , 2009, Medical Image Anal..

[34]  Olaf Sporns,et al.  The Human Connectome: A Structural Description of the Human Brain , 2005, PLoS Comput. Biol..

[35]  Hans-Christian Hege,et al.  Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model , 2008, VCBM.

[36]  Pascal A. Dufour,et al.  Pathology Hinting as the Combination of Automatic Segmentation with a Statistical Shape Model , 2012, MICCAI.

[37]  Nick C Fox,et al.  Modeling brain deformations in Alzheimer disease by fluid registration of serial 3D MR images. , 1998, Journal of computer assisted tomography.

[38]  D. Mozaffarian,et al.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association. , 2012, Circulation.

[39]  Xun Xu,et al.  Automatic Detection and Segmentation of Lymph Nodes From CT Data , 2012, IEEE Transactions on Medical Imaging.

[40]  Joseph M. Reinhardt,et al.  Anatomy-Guided Lung Lobe Segmentation in X-Ray CT Images , 2009, IEEE Transactions on Medical Imaging.

[41]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[42]  Bram van Ginneken,et al.  Toward automated segmentation of the pathological lung in CT , 2005, IEEE Transactions on Medical Imaging.

[43]  Shoji Kido,et al.  Automated extraction of pleural effusion in three-dimensional thoracic CT images , 2009, Medical Imaging.

[44]  Yin-Yin Liao,et al.  Classification of Benign and Malignant Breast Tumors by 2-D Analysis Based on Contour Description and Scatterer Characterization , 2010, IEEE Transactions on Medical Imaging.

[45]  Kim L. Boyer,et al.  Retinal thickness measurements from optical coherence tomography using a Markov boundary model , 2001, IEEE Transactions on Medical Imaging.

[46]  Carmen A Puliafito,et al.  Automated detection of retinal layer structures on optical coherence tomography images. , 2005, Optics express.

[47]  M. Goldbaum,et al.  Detection of blood vessels in retinal images using two-dimensional matched filters. , 1989, IEEE transactions on medical imaging.

[48]  Hyunjin Park,et al.  Construction of an abdominal probabilistic atlas and its application in segmentation , 2003, IEEE Transactions on Medical Imaging.

[49]  P. Basser,et al.  Axcaliber: A method for measuring axon diameter distribution from diffusion MRI , 2008, Magnetic resonance in medicine.

[50]  Konstantin Mischaikow,et al.  Coronary vessel trees from 3D imagery: A topological approach , 2006, Medical Image Anal..

[51]  Anil K. Jain,et al.  Feature Selection: Evaluation, Application, and Small Sample Performance , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[52]  Roland Wilson,et al.  Analysis of Retinal Vasculature Using a Multiresolution Hermite Model , 2007, IEEE Transactions on Medical Imaging.

[53]  Karl J. Friston,et al.  Comparing Functional (PET) Images: The Assessment of Significant Change , 1991, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[54]  Yen-Wei Chen,et al.  Quantitative imaging: quantification of liver shape on CT using the statistical shape model to evaluate hepatic fibrosis. , 2015, Academic radiology.

[55]  Nico Karssemeijer,et al.  Segmentation of the Pectoral Muscle in Breast MRI Using Atlas-Based Approaches , 2012, MICCAI.

[56]  J. Ashburner,et al.  Nonlinear spatial normalization using basis functions , 1999, Human brain mapping.

[57]  John Eng,et al.  Effect of spinal segment variants on numbering vertebral levels at lumbar MR imaging. , 2011, Radiology.

[58]  Badrinath Roysam,et al.  Improved Detection of the Central Reflex in Retinal Vessels Using a Generalized Dual-Gaussian Model and Robust Hypothesis Testing , 2008, IEEE Transactions on Information Technology in Biomedicine.

[59]  Mariano Alcañiz Raya,et al.  Automatic Segmentation of Jaw Tissues in CT Using Active Appearance Models and Semi-automatic Landmarking , 2006, MICCAI.

[60]  B L Miller,et al.  Patterns of brain atrophy in frontotemporal dementia and semantic dementia , 2002, Neurology.

[61]  Karl J. Friston,et al.  Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.

[62]  Yan Yang,et al.  Quantification of coronary arterial stenoses in CTA using fuzzy distance transform , 2012, Comput. Medical Imaging Graph..

[63]  E. Fishman,et al.  Automatic liver segmentation technique for three-dimensional visualization of CT data. , 1996, Radiology.

[64]  Wolfgang Drexler,et al.  Comparison of ultrahigh- and standard-resolution optical coherence tomography for imaging macular pathology. , 2005, Ophthalmology.

[65]  Paul A. Yushkevich,et al.  Multiscale deformable model segmentation and statistical shape analysis using medial descriptions , 2002, IEEE Transactions on Medical Imaging.

[66]  Serge J. Belongie,et al.  Normalized cuts in 3-D for spinal MRI segmentation , 2004, IEEE Transactions on Medical Imaging.

[67]  Bradford J. Wood,et al.  Liver Segmental Anatomy and Analysis from Vessel and Tumor Segmentation via Optimized Graph Cuts , 2011, Abdominal Imaging.

[68]  S. Kinomura,et al.  Inclusion of affine transformation into no-linear deformation matrix in brain image analysis , 2009, NeuroImage.

[69]  Daw-Tung Lin,et al.  Computer-aided kidney segmentation on abdominal CT images , 2006, IEEE Transactions on Information Technology in Biomedicine.

[70]  Xiaohong W. Gao,et al.  Quantification and characterisation of arteries in retinal images , 2000, Comput. Methods Programs Biomed..

[71]  Noboru Niki,et al.  A coronary calcification diagnosis system based on helical CT images , 1997 .

[72]  Comparing the accuracy of initial head CT reporting by radiologists, radiology trainees, neuroradiographers and emergency doctors. , 2011, The British journal of radiology.

[73]  Nadia Magnenat-Thalmann,et al.  MRI Bone Segmentation Using Deformable Models and Shape Priors , 2008, MICCAI.

[74]  Konstantin Nikolaou,et al.  Accuracy of 64-slice computed tomography to classify and quantify plaque volumes in the proximal coronary system: a comparative study using intravascular ultrasound. , 2006, Journal of the American College of Cardiology.

[75]  Kazuo Nakazawa,et al.  Cardiovascular Modeling of Congenital Heart Disease Based on Neonatal Echocardiographic Images , 2012, IEEE Transactions on Information Technology in Biomedicine.

[76]  Teresa C. Chen,et al.  Retinal nerve fiber layer thickness map determined from optical coherence tomography images. , 2005, Optics express.

[77]  F. Netter Comprar Atlas of Human Anatomy, Enhanced International Edition, 5th Edition with Student Consult Access | Frank H. Netter | 9780808924227 | Saunders , 2010 .

[78]  Ghassan Hamarneh,et al.  Probabilistic Multi-shape Segmentation of Knee Extensor and Flexor Muscles , 2011, MICCAI.

[79]  Karl J. Friston,et al.  Time‐dependent changes in effective connectivity measured with PET , 1993 .

[80]  Joachim Weickert,et al.  Coherence-Enhancing Diffusion Filtering , 1999, International Journal of Computer Vision.

[81]  Ioannis Sechopoulos,et al.  Objective models of compressed breast shapes undergoing mammography. , 2013, Medical physics.

[82]  S. Delp,et al.  Three-Dimensional Representation of Complex Muscle Architectures and Geometries , 2005, Annals of Biomedical Engineering.

[83]  Yoshitaka Masutani,et al.  A unified framework for concurrent detection of anatomical landmarks for medical image understanding , 2011, Medical Imaging.

[84]  J. Whitwell Voxel-Based Morphometry: An Automated Technique for Assessing Structural Changes in the Brain , 2009, The Journal of Neuroscience.

[85]  Lik Chuan Lee,et al.  First evidence of depressed contractility in the border zone of a human myocardial infarction. , 2012, The Annals of thoracic surgery.

[86]  Chih-Kuang Yeh,et al.  Ultrasonic Nakagami imaging: a strategy to visualize the scatterer properties of benign and malignant breast tumors. , 2010, Ultrasound in medicine & biology.

[87]  Katsuyoshi Ito,et al.  Cirrhosis: A Modified Caudate-to-Right-Lobe Ratio , 2001 .

[88]  Xiangrong Zhou,et al.  Constructing a Probabilistic Model for Automated Liver Region Segmentation Using Non-contrast X-Ray Torso CT images , 2006, MICCAI.

[89]  Haruyasu Yamada,et al.  Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis , 2002, Neurobiology of Aging.

[90]  V. Wedeen,et al.  Fiber crossing in human brain depicted with diffusion tensor MR imaging. , 2000, Radiology.

[91]  Marcel Breeuwer,et al.  Minimum Cost Path Algorithm for Coronary Artery Central Axis Tracking in CT Images , 2003, MICCAI.

[92]  Alejandro F. Frangi,et al.  Muliscale Vessel Enhancement Filtering , 1998, MICCAI.

[93]  Reinhilde Jacobs,et al.  Detecting Reduced Bone Mineral Density From Dental Radiographs Using Statistical Shape Models , 2007, IEEE Transactions on Information Technology in Biomedicine.

[94]  Michael F. McNitt-Gray,et al.  Method for segmenting chest CT image data using an anatomical model: preliminary results , 1997, IEEE Transactions on Medical Imaging.

[95]  Paolo Remagnino,et al.  Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach , 2013, Comput. Medical Imaging Graph..

[96]  Junjie Chen,et al.  Image‐based models of cardiac structure in health and disease , 2010, Wiley interdisciplinary reviews. Systems biology and medicine.

[97]  Karl J. Friston,et al.  A Voxel-Based Method for the Statistical Analysis of Gray and White Matter Density Applied to Schizophrenia , 1995, NeuroImage.

[98]  Christoph Schnörr,et al.  Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography , 2011, MICCAI.

[99]  A. Murgio,et al.  International study of emergency department care for pediatric traumatic brain injury and the role of CT scanning , 2001, Child's Nervous System.

[100]  Noboru Niki,et al.  Extraction method of interlobar fissure based on multi-slice CT images , 2013, Medical Imaging.

[101]  Craig E. L. Stark,et al.  Spline-Based Probabilistic Model for Anatomical Landmark Detection , 2006, MICCAI.

[102]  Marcel Breeuwer,et al.  Segmentation of thrombus in abdominal aortic aneurysms from CTA with nonparametric statistical grey level appearance modeling , 2005, IEEE Transactions on Medical Imaging.

[103]  Martti Kalke,et al.  Automatic extraction of mandibular bone geometry for anatomy-based synthetization of radiographs , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[104]  Linda G. Shapiro,et al.  Knowledge-based organ identification from CT images , 1995, Pattern Recognit..

[105]  Dorin Comaniciu,et al.  Spine detection in CT and MR using iterated marginal space learning , 2013, Medical Image Anal..

[106]  Nikos Paragios,et al.  Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries , 2005, MICCAI.

[107]  Kensaku Mori,et al.  Recognition of bronchus in three-dimensional X-ray CT images with applications to virtualized bronchoscopy system , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[108]  P. Basser,et al.  In vivo fiber tractography using DT‐MRI data , 2000, Magnetic resonance in medicine.

[109]  Ronald M. Summers,et al.  Helical CT of von Hippel-Lindau: semi-automated segmentation of renal lesions , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[110]  H. Labelle,et al.  Spine Segmentation in Medical Images Using Manifold Embeddings and Higher-Order MRFs , 2013, IEEE Transactions on Medical Imaging.

[111]  Shankar M. Krishnan,et al.  Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter , 2002, IEEE Transactions on Biomedical Engineering.

[112]  Y Lee,et al.  Improvement of detection of hypoattenuation in acute ischemic stroke in unenhanced computed tomography using an adaptive smoothing filter , 2008, Acta radiologica.

[113]  Cristian Lorenz,et al.  Automated Model-Based Rib Cage Segmentation and Labeling in CT Images , 2007, MICCAI.

[114]  David Cristinacce,et al.  Automatic feature localisation with constrained local models , 2008, Pattern Recognit..

[115]  P. Basser,et al.  Estimation of the effective self-diffusion tensor from the NMR spin echo. , 1994, Journal of magnetic resonance. Series B.

[116]  Yen-Wei Chen,et al.  Automated segmentation of the liver from 3D CT images using probabilistic atlas and multilevel statistical shape model. , 2008, Academic radiology.

[117]  Jun Ma,et al.  Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model , 2010, MICCAI.

[118]  Dieter Schmalstieg,et al.  Liver Surgery Planning Using Virtual Reality , 2006, IEEE Computer Graphics and Applications.

[119]  W. Linehan,et al.  Computer-aided renal cancer quantification and classification from contrast-enhanced CT via histograms of curvature-related features , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[120]  J. Helpern,et al.  Diffusional kurtosis imaging: The quantification of non‐gaussian water diffusion by means of magnetic resonance imaging , 2005, Magnetic resonance in medicine.

[121]  Andrew Hunter,et al.  Measurement of retinal vessel widths from fundus images based on 2-D modeling , 2004, IEEE Transactions on Medical Imaging.

[122]  J. Baron,et al.  In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease , 2001, NeuroImage.

[123]  F. Howe,et al.  In vivo 31p mrs: absolute concentrations, signal‐to‐noise and prior knowledge , 1995, NMR in biomedicine.

[124]  A. Iwase,et al.  Risk factors for open-angle glaucoma in a Japanese population: the Tajimi Study. , 2006, Ophthalmology.

[125]  Martin Styner,et al.  Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms , 2009, Medical Image Anal..

[126]  Guido Gerig,et al.  Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images , 1998, Medical Image Anal..

[127]  M. Giger,et al.  Automatic segmentation of liver structure in CT images. , 1993, Medical physics.

[128]  Guoyan Zheng,et al.  Statistical deformable bone models for robust 3D surface extrapolation from sparse data , 2007, Medical Image Anal..

[129]  Guoyu Qian,et al.  Analysis of ischemic stroke MR images by means of brain atlases of anatomy and blood supply territories. , 2006, Academic radiology.

[130]  B. Garra,et al.  Improving the Distinction between Benign and Malignant Breast Lesions: The Value of Sonographic Texture Analysis , 1993 .

[131]  Max A. Viergever,et al.  Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data , 2007, Medical Image Anal..

[132]  Emile A. Hendriks,et al.  Local SIMPLE multi-atlas-based segmentation applied to lung lobe detection on chest CT , 2012, Medical Imaging.

[133]  Delia Cabrera DeBuc,et al.  A Review of Algorithms for Segmentation of Retinal Image Data Using Optical Coherence Tomography , 2011 .

[134]  N. Magnenat-Thalmann,et al.  Musculoskeletal MRI segmentation using multi-resolution simplex meshes with medial representations , 2010, Medical Image Anal..

[135]  Karl J. Friston,et al.  Incorporating Prior Knowledge into Image Registration , 1997, NeuroImage.

[136]  Bram van Ginneken,et al.  Supervised Enhancement Filters: Application to Fissure Detection in Chest CT Scans , 2008, IEEE Transactions on Medical Imaging.

[137]  Ronald M. Summers,et al.  Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT , 2012, Medical Image Anal..

[138]  Jack Lee,et al.  Automatic segmentation of 3D micro-CT coronary vascular images , 2007, Medical Image Anal..

[139]  Xiangrong Zhou,et al.  Automated measurement of mandibular cortical width on dental panoramic radiographs , 2013, International Journal of Computer Assisted Radiology and Surgery.

[140]  Martin Styner,et al.  Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets , 2009, IEEE Transactions on Medical Imaging.

[141]  David J. Hawkes,et al.  Instantiation and registration of statistical shape models of the femur and pelvis using 3D ultrasound imaging , 2008, Medical Image Anal..

[142]  Ronald M. Summers,et al.  Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations , 2011, Abdominal Imaging.

[143]  M. Buchsbaum,et al.  Deformation-Based Morphometry and Its Relation to Conventional Volumetry of Brain Lateral Ventricles in MRI , 2001, NeuroImage.

[144]  Xiangrong Zhou,et al.  Automated segmentation of psoas major muscle in X-ray CT images by use of a shape model: preliminary study , 2011, Radiological Physics and Technology.

[145]  Hans-Christian Hege,et al.  An articulated statistical shape model for accurate hip joint segmentation , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[146]  C. Gatsonis,et al.  Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening , 2012 .

[147]  Nico Bruining,et al.  Non-invasive visualization of coronary atherosclerosis: state-of-art , 2007, Journal of cardiovascular medicine.

[148]  Yoshinobu Sato,et al.  Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models , 2013, MICCAI.

[149]  Takayuki Kitasaka,et al.  A Method for Extraction of Bronchuns Regions from 3D Chest X-ray CT Images by Analyzing Structural Features of the Bronchus , 2002 .

[150]  R. Ansari,et al.  Thickness profiles of retinal layers by optical coherence tomography image segmentation. , 2008, American journal of ophthalmology.

[151]  K Yamauchi,et al.  Evaluation of a neural network classifier for pancreatic masses based on CT findings. , 1997, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[152]  Scott T. Grafton,et al.  Automated image registration: I. General methods and intrasubject, intramodality validation. , 1998, Journal of computer assisted tomography.

[153]  Örjan Smedby,et al.  Coronary Artery Segmentation and Skeletonization Based on Competing Fuzzy Connectedness Tree , 2007, MICCAI.

[154]  Paul L. Rosin,et al.  Automated choroidal segmentation of 1060 nm OCT in healthy and pathologic eyes using a statistical model , 2011, Biomedical optics express.

[155]  Keith Muir,et al.  Effects of alteplase beyond 3 h after stroke in the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET): a placebo-controlled randomised trial , 2008, The Lancet Neurology.

[156]  J. Fujimoto,et al.  Optical coherence tomography: technology and applications , 2002, IEEE/LEOS International Conference on Optical MEMs.

[157]  Karl J. Friston,et al.  Detecting Activations in PET and fMRI: Levels of Inference and Power , 1996, NeuroImage.

[158]  Yoshinobu Sato,et al.  Automated Segmentation of the Femur and Pelvis from 3D CT Data of Diseased Hip Using Hierarchical Statistical Shape Model of Joint Structure , 2009, MICCAI.

[159]  Baigalmaa Tsagaan,et al.  An Automated Segmentation Method of Kidney Using Statistical Information , 2002, MICCAI.

[160]  Piotr J. Slomka,et al.  Heart chambers and whole heart segmentation techniques: review , 2012, J. Electronic Imaging.

[161]  Nicu Sebe,et al.  Boosting contextual information in content-based image retrieval , 2004, MIR '04.

[162]  S. Friedman Hepatic fibrosis -- overview. , 2008, Toxicology.

[163]  Kazuhiko Hamamoto,et al.  A cost-sensitive extension of AdaBoost with markov random field priors for automated segmentation of breast tumors in ultrasonic images , 2010, International Journal of Computer Assisted Radiology and Surgery.

[164]  Ruey-Feng Chang,et al.  Classification of breast ultrasound images using fractal feature. , 2005, Clinical imaging.

[165]  Ghassan Hamarneh,et al.  Intra-retinal Layer Segmentation in Optical Coherence Tomography Using an Active Contour Approach , 2009, MICCAI.

[166]  Kensaku Mori,et al.  Automated anatomical labeling of the bronchial branch and its application to the virtual bronchoscopy system , 2000, IEEE Transactions on Medical Imaging.

[167]  Noboru Niki,et al.  Extraction algorithm of pulmonary fissures from thin-section CT images based on linear feature detector method , 1999 .

[168]  Colin Studholme,et al.  Deformation-based morphometry of brain changes in alcohol dependence and abstinence , 2007, NeuroImage.

[169]  Timothy Edward John Behrens,et al.  Characterization and propagation of uncertainty in diffusion‐weighted MR imaging , 2003, Magnetic resonance in medicine.

[170]  Milan Sonka,et al.  Automatic segmentation of echocardiographic sequences by active appearance motion models , 2002, IEEE Transactions on Medical Imaging.

[171]  Yoshinobu Sato,et al.  Automated liver segmentation using multislice CT images , 2003, Systems and Computers in Japan.

[172]  D. Tuch Diffusion MRI of complex tissue structure , 2002 .

[173]  Sina Farsiu,et al.  Fast detection and segmentation of drusen in retinal optical coherence tomography images , 2008, SPIE BiOS.

[174]  Emma J. Burton,et al.  A comprehensive study of gray matter loss in patients with Alzheimer’s disease using optimized voxel-based morphometry , 2003, NeuroImage.

[175]  David Gur,et al.  Computerized assessment of pulmonary fissure integrity using high resolution CT. , 2010, Medical physics.

[176]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[177]  Yehoshua Y. Zeevi,et al.  Image enhancement and denoising by complex diffusion processes , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[178]  Hervé Delingette,et al.  Statistical Analysis of the Human Cardiac Fiber Architecture from DT-MRI , 2011, FIMH.

[179]  R. Bajcsy,et al.  Elastic Matching: Continuum Mechanical and Probabilistic Analysis , 1999 .

[180]  Eric A. Hoffman,et al.  Atlas-driven lung lobe segmentation in volumetric X-ray CT images , 2006, IEEE Transactions on Medical Imaging.

[181]  O. Abe,et al.  MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization. , 2003, European journal of radiology.

[182]  Carmen A. Puliafito,et al.  Automatic retinal blood flow calculation using spectral domain optical coherence tomography , 2007 .

[183]  B. Goldberg,et al.  Classification of ultrasonic B-mode images of breast masses using Nakagami distribution , 2001, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[184]  Martin Welk,et al.  3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem , 2011, MICCAI.

[185]  R. Detrano,et al.  Ethnic Differences in Coronary Calcification: The Multi-Ethnic Study of Atherosclerosis (MESA) , 2005, Circulation.

[186]  Daniel Rueckert,et al.  Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation , 2013, IEEE Transactions on Medical Imaging.

[187]  Yaniv Assaf,et al.  Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain , 2005, NeuroImage.

[188]  Liana G. Apostolova,et al.  Automatic Subcortical Segmentation Using a Contextual Model , 2008, MICCAI.

[189]  Joseph P. Broderick,et al.  Tissue plasminogen activator for acute ischemic stroke. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. , 1995 .

[190]  Paul A. Yushkevich,et al.  Multi-atlas segmentation with joint label fusion and corrective learning—an open source implementation , 2013, Front. Neuroinform..

[191]  Masahiro Oda,et al.  A study on automated anatomical labeling to arteries concerning with colon from 3D abdominal CT images , 2011, Medical Imaging.

[192]  Marleen de Bruijne,et al.  Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA , 2011, IEEE Transactions on Medical Imaging.

[193]  Mong-Li Lee,et al.  A piecewise Gaussian model for profiling and differentiating retinal vessels , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[194]  Amir A. Amini,et al.  A survey of shaped-based registration and segmentation techniques for cardiac images , 2013, Comput. Vis. Image Underst..

[195]  Jeremy D. Schmahmann,et al.  Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers , 2008, NeuroImage.

[196]  Thomas Lange,et al.  Shape Constrained Automatic Segmentation of the Liver based on a Heuristic Intensity Model , 2007 .

[197]  Boštjan Likar,et al.  Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images , 2011, Physics in medicine and biology.

[198]  D. Tsai,et al.  Novel noise reduction filter for improving visibility of early computed tomography signs of hyperacute stroke: evaluation of the filter's performance—preliminary clinical experience , 2007, Radiation Medicine.

[199]  Karl J. Friston,et al.  Identifying global anatomical differences: Deformation‐based morphometry , 1998 .

[200]  Russell H. Taylor,et al.  Assessing accuracy factors in deformable 2D/3D medical image registration using a statistical pelvis model , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[201]  Risto Myllylä,et al.  Automated segmentation of the macula by optical coherence tomography. , 2009, Optics express.

[202]  Akinobu Shimizu,et al.  Segmentation of multiple organs in non-contrast 3D abdominal CT images , 2007, International Journal of Computer Assisted Radiology and Surgery.

[203]  Shinto Eguchi,et al.  Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[204]  Anthony J. Maeder,et al.  Robust semi-automated path extraction for visualising stenosis of the coronary arteries , 2008, Comput. Medical Imaging Graph..

[205]  Milan Sonka,et al.  Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula , 2010, IEEE Transactions on Medical Imaging.

[206]  Yen-Wei Chen,et al.  Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multi-level Statistical Shape Model , 2007, MICCAI.

[207]  Akinobu Shimizu,et al.  Ensemble Learning Based Segmentation of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography , 2013, IEICE Trans. Inf. Syst..

[208]  Kim L. Boyer,et al.  Automatic recovery of the optic nervehead geometry in optical coherence tomography , 2006, IEEE Transactions on Medical Imaging.

[209]  David Gur,et al.  A simple method for automated lung segmentation in x-ray CT images , 2003, SPIE Medical Imaging.

[210]  Bram van Ginneken,et al.  Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease. , 2007, Medical physics.

[211]  J.W. Park,et al.  Computer-aided detection of kidney tumor on abdominal computed tomography scans , 2004, Acta radiologica.

[212]  Qi Yang,et al.  Automated layer segmentation of macular OCT images using dual-scale gradient information. , 2010, Optics express.

[213]  M. Budoff,et al.  Calcium density of coronary artery plaque and risk of incident cardiovascular events. , 2014, JAMA.

[214]  H. Devlin,et al.  Mandibular Radiomorphometric Indices in the Diagnosis of Reduced Skeletal Bone Mineral Density , 2002, Osteoporosis International.

[215]  Hiroshi Murase,et al.  Automated Nomenclature of Bronchial Branches Extracted from CT Images and Its Application to Biopsy Path Planning in Virtual Bronchoscopy , 2005, MICCAI.

[216]  David Gur,et al.  A Computational Geometry Approach to Automated Pulmonary Fissure Segmentation in CT Examinations , 2009, IEEE Transactions on Medical Imaging.

[217]  Ronald M. Summers,et al.  Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors , 2013, MICCAI.

[218]  Hiroshi Fukuda,et al.  Male elderly subthreshold depression patients have smaller volume of medial part of prefrontal cortex and precentral gyrus compared with age-matched normal subjects: a voxel-based morphometry. , 2005, Journal of affective disorders.

[219]  Yiqiang Zhan,et al.  Robust MR Spine Detection Using Hierarchical Learning and Local Articulated Model , 2012, MICCAI.

[220]  R Janka,et al.  Automated breast ultrasound: lesion detection and BI-RADS classification--a pilot study. , 2008, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

[221]  Y. Kawata,et al.  Computer-aided diagnosis for pulmonary nodules based on helical CT images , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[222]  T. Boskamp,et al.  New vessel analysis tool for morphometric quantification and visualization of vessels in CT and MR imaging data sets. , 2004, Radiographics : a review publication of the Radiological Society of North America, Inc.

[223]  Max A. Viergever,et al.  Interactive segmentation of abdominal aortic aneurysms in CTA images , 2004, Medical Image Anal..

[224]  Hiroyuki Yoshida,et al.  Automated Segmentation of Colonic Walls for Computerized Detection of Polyps in CT Colonography , 2001, Journal of computer assisted tomography.

[225]  Eric A. Hoffman,et al.  Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images , 2001, IEEE Transactions on Medical Imaging.

[226]  H. Lamecker,et al.  Segmentation of the Liver using a 3D Statistical Shape Model , 2004 .

[227]  T. Harakawa,et al.  Computer-aided diagnostic scheme for detection of acute cerebral infarctions on brain CT images (Special issue on nonlinear circuits and signal processing) , 2008 .

[228]  Kazunori Sato,et al.  Neuroanatomical database of normal Japanese brains , 2003, Neural Networks.

[229]  Robert A. Zimmerman,et al.  Special report from the National Institute of Neurological Disorders and Stroke. Classification of cerebrovascular diseases III. , 1990, Stroke.

[230]  Chengwen Chu,et al.  Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases , 2012, MICCAI.

[231]  Bernhard Preim,et al.  Analysis of vasculature for liver surgical planning , 2002, IEEE Transactions on Medical Imaging.

[232]  Hans-Christian Hege,et al.  A 3D statistical shape model of the pelvic bone for segmentation , 2004, SPIE Medical Imaging.

[233]  Cristian Lorenz,et al.  Automated model-based vertebra detection, identification, and segmentation in CT images , 2009, Medical Image Anal..

[234]  J. Pauly,et al.  Diffusion‐weighted interleaved echo‐planar imaging with a pair of orthogonal navigator echoes , 1996, Magnetic resonance in medicine.

[235]  R. Kawashima,et al.  DEVELOPMENT AND AGING OF THE HUMAN BRAIN STUDIED WITH BRAIN MAGNETIC RESONANCE IMAGE , 2012 .

[236]  Y. Arad,et al.  Objectives Background Methods Results Conclusions , 2022 .

[237]  Xiangrong Zhou,et al.  Automated segmentation and recognition of the bone structure in non-contrast torso CT images using implicit anatomical knowledge , 2009, Medical Imaging.

[238]  B. Michael Kelm,et al.  Fast and robust 3D vertebra segmentation using statistical shape models , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[239]  Ronald M. Summers,et al.  Renal tumor quantification and classification in contrast-enhanced abdominal CT , 2009, Pattern Recognit..

[240]  A. Snyder,et al.  Normal brain in human newborns: apparent diffusion coefficient and diffusion anisotropy measured by using diffusion tensor MR imaging. , 1998, Radiology.

[241]  Eric A. Hoffman,et al.  Extraction of Airways From CT (EXACT'09) , 2012, IEEE Transactions on Medical Imaging.

[242]  Hiroshi Fujita,et al.  Semi-automatic ultrasonic full-breast scanner and computer-assisted detection system for breast cancer mass screening , 2007, SPIE Medical Imaging.

[243]  Dragana Brzakovic,et al.  Mammogram synthesis using a three-dimensional simulation. III. Modeling and evaluation of the breast ductal network. , 2003, Medical physics.

[244]  Hiroshi Ishikawa,et al.  Macular segmentation with optical coherence tomography. , 2005, Investigative ophthalmology & visual science.

[245]  Akinobu Shimizu,et al.  Multi-shape graph cuts with neighbor prior constraints and its application to lung segmentation from a chest CT volume , 2013, Medical Image Anal..

[246]  Xiangrong Zhou,et al.  Automated detection of extradural and subdural hematoma for contrast-enhanced CT images in emergency medical care , 2007, SPIE Medical Imaging.

[247]  Jun Ma,et al.  Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model , 2010, Comput. Vis. Image Underst..

[248]  Shang-Hong Lai,et al.  Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI , 2009, IEEE Transactions on Medical Imaging.

[249]  F. Gonzalez-Lima,et al.  Structural equation modeling and its application to network analysis in functional brain imaging , 1994 .

[250]  Nadia Magnenat-Thalmann,et al.  Robust statistical shape models for MRI bone segmentation in presence of small field of view , 2011, Medical Image Anal..

[251]  Akinobu Shimizu,et al.  A conditional statistical shape model with integrated error estimation of the conditions; Application to liver segmentation in non-contrast CT images , 2014, Medical Image Anal..

[252]  N Waugh,et al.  Systematic review of the clinical effectiveness and cost-effectiveness of 64-slice or higher computed tomography angiography as an alternative to invasive coronary angiography in the investigation of coronary artery disease. , 2008, Health technology assessment.

[253]  Ryo Haraguchi,et al.  The Role of Fibroblasts in Complex Fractionated Electrograms During Persistent/Permanent Atrial Fibrillation: Implications for Electrogram-Based Catheter Ablation , 2012, Circulation research.

[254]  Risto J. Ilmoniemi,et al.  Magnetic-Stimulation-Related Physiological Artifacts in Hemodynamic Near-Infrared Spectroscopy Signals , 2011, PloS one.

[255]  Benoît Naegel Using mathematical morphology for the anatomical labeling of vertebrae from 3D CT-scan images , 2007, Comput. Medical Imaging Graph..

[256]  Akinobu Shimizu,et al.  3D Medical Image Processing Algorithm Competition in Japan , 2011 .

[257]  M. Giger,et al.  Computerized diagnosis of breast lesions on ultrasound. , 2002, Medical physics.

[258]  Xiangrong Zhou,et al.  A computerized scheme for localization of vertebral bodies on body CT scans , 2011, Medical Imaging.

[259]  H. Kröger,et al.  Pantomography in assessment of the osteoporosis risk group. , 1994, Scandinavian journal of dental research.

[260]  Shai Avidan SpatialBoost: Adding Spatial Reasoning to AdaBoost , 2006, ECCV.

[261]  Kazuhiko Hamamoto,et al.  Discrimination of Breast Tumors in Ultrasonic Images Using an Ensemble Classifier Based on the AdaBoost Algorithm With Feature Selection , 2010, IEEE Transactions on Medical Imaging.

[262]  Carmen A. Puliafito,et al.  3–D OCT Maps of Retinal Pathologies , 2005 .

[263]  Ben Glocker,et al.  Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes , 2012, Medical Image Anal..

[264]  Lambertus Hesselink,et al.  Visualizing second-order tensor fields with hyperstreamlines , 1993, IEEE Computer Graphics and Applications.

[265]  Akinobu Shimizu,et al.  Automated pancreas segmentation from three-dimensional contrast-enhanced computed tomography , 2009, International Journal of Computer Assisted Radiology and Surgery.

[266]  Susanne Schnell,et al.  Global fiber reconstruction becomes practical , 2011, NeuroImage.

[267]  S. Armato,et al.  Automated lung segmentation for thoracic CT impact on computer-aided diagnosis. , 2004, Academic radiology.

[268]  Sabee Molloi,et al.  Automatic 3D vascular tree construction in CT angiography. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[269]  Klaus D. Tönnies,et al.  Segmentation of medical images using adaptive region growing , 2001, SPIE Medical Imaging.

[270]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[271]  Lubomir M. Hadjiiski,et al.  Automated coronary artery tree extraction in coronary CT angiography using a multiscale enhancement and dynamic balloon tracking (MSCAR-DBT) method , 2012, Comput. Medical Imaging Graph..

[272]  Takeo Igarashi,et al.  A Kinematic Approach for Efficient and Robust Simulation of the Cardiac Beating Motion , 2012, PloS one.

[273]  Hiroshi Fukuda,et al.  A longitudinal study of gray matter volume decline with age and modifying factors , 2011, Neurobiology of Aging.

[274]  P. V. van Zijl,et al.  Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging , 1999, Annals of neurology.

[275]  Marleen de Bruijne,et al.  Quantitative vertebral morphometry using neighbor-conditional shape models , 2007, Medical Image Anal..

[276]  M. Raichle,et al.  Tracking neuronal fiber pathways in the living human brain. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[277]  Keith A Josephs,et al.  Voxel-based morphometry and its application to movement disorders. , 2007, Parkinsonism & related disorders.

[278]  Kim Butts,et al.  Clinical Aspects of DWI , 1995, NMR in biomedicine.

[279]  Christos Davatzikos,et al.  Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy , 2001, NeuroImage.

[280]  Milan Sonka,et al.  Matching and anatomical labeling of human airway tree , 2005, IEEE Transactions on Medical Imaging.

[281]  Bram van Ginneken,et al.  Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi , 2013, IEEE Transactions on Medical Imaging.

[282]  J. You,et al.  Use of diffusion-weighted MRI in the emergency department for unconscious trauma patients with negative brain CT , 2010, Emergency Medicine Journal.

[283]  Bram van Ginneken,et al.  Computer analysis of computed tomography scans of the lung: a survey , 2006, IEEE Transactions on Medical Imaging.

[284]  Karl J. Friston,et al.  Distributional Assumptions in Voxel-Based Morphometry , 2002, NeuroImage.

[285]  Yutaka Hata,et al.  Robust Pelvic Coordinate System Determination for Pose Changes in Multidetector-row Computed Tomography Images , 2010, Int. J. Fuzzy Log. Intell. Syst..

[286]  S. Napel,et al.  An abdominal aortic aneurysm segmentation method: level set with region and statistical information. , 2006, Medical physics.

[287]  Harald Hampel,et al.  Diagnostic utility of novel MRI-based biomarkers for Alzheimer's disease: diffusion tensor imaging and deformation-based morphometry. , 2010, Journal of Alzheimer's disease : JAD.

[288]  Shinji Mizuno,et al.  Automatic abdominal lymph node detection method based on local intensity structure analysis from 3D x-ray CT images , 2013, Medical Imaging.

[289]  P M Shankar,et al.  Use of the K-distribution for classification of breast masses. , 2000, Ultrasound in medicine & biology.

[290]  Yoshinobu Sato,et al.  Construction of Hierarchical Multi-Organ Statistical Atlases and Their Application to Multi-Organ Segmentation from CT Images , 2008, MICCAI.

[291]  D. Aykac,et al.  Segmentation and analysis of the human airway tree from three-dimensional X-ray CT images , 2003, IEEE Transactions on Medical Imaging.

[292]  Derek K. Jones Diffusion MRI: Theory, methods, and applications , 2011 .

[293]  Thomas E. Nichols,et al.  Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate , 2002, NeuroImage.

[294]  Luca Antiga,et al.  Geometric reconstruction for computational mesh generation of arterial bifurcations from CT angiography. , 2002, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[295]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[296]  Rangaraj M. Rangayyan,et al.  Method for the automatic detection and segmentation of the spinal canal in computed tomographic images , 2006, J. Electronic Imaging.

[297]  D. Tuch Q‐ball imaging , 2004, Magnetic resonance in medicine.

[298]  Tobias Klinder,et al.  Multi-modal Vertebra Segmentation from MR Dixon for Hybrid Whole-Body PET/MR , 2014 .

[299]  Nicolas Passat,et al.  3D segmentation of coronary arteries based on advanced mathematical morphology techniques , 2010, Comput. Medical Imaging Graph..

[300]  Hans-Christian Hege,et al.  Multi-object Segmentation with Coupled Deformable Models , 2008 .

[301]  Hiroshi Fukuda,et al.  Voxel-based morphometry of human brain with age and cerebrovascular risk factors , 2004, Neurobiology of Aging.

[302]  H. Ohmatsu,et al.  Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. , 1996, Radiology.

[303]  Don P. Giddens,et al.  AUTOMATIC SEGMENTATION OF CORONARY ARTERIES USING BAYESIAN DRIVEN IMPLICIT SURFACES , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.