Skeleton-based fast, fully automated generation of vessel tree structure for clinical evaluation of blood vessel systems

This chapter focuses on skeleton detection for clinical evaluation of blood vessel systems. In clinical evaluation, there is a need for fast and accurate segmentation algorithms that can reliably p ...

[1]  W. Hiatt,et al.  Medical treatment of peripheral arterial disease and claudication. , 2001, The New England journal of medicine.

[2]  P. Libby,et al.  Inflammation and Atherosclerosis , 2002, Circulation.

[3]  Kecheng Liu,et al.  A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II , 2002, IEEE Transactions on Information Technology in Biomedicine.

[4]  P. Yock,et al.  Intravascular ultrasound. Looking below the surface of vascular disease. , 1990, Circulation.

[5]  Ingela Nyström,et al.  Skeletonization of Volumetric Vascular Images—Distance Information Utilized for Visualization , 2001, J. Comb. Optim..

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

[7]  Lee Collins Applied imaging technology , 2009, Australasian Physics & Engineering Sciences in Medicine.

[8]  Arie E. Kaufman,et al.  Virtual colonoscopy , 2005, CACM.

[9]  Bo Xu,et al.  Automatic extraction of arterial centerline from whole-body computed tomography angiographic datasets , 2014, Computing in Cardiology 2014.

[10]  G D Rubin,et al.  Three-dimensional spiral computed tomographic angiography: an alternative imaging modality for the abdominal aorta and its branches. , 1993, Journal of vascular surgery.

[11]  Francis K. H. Quek,et al.  A review of vessel extraction techniques and algorithms , 2004, CSUR.

[12]  A. Dachman,et al.  CT colonography: the next colon screening examination? , 2000, Radiology.

[13]  Eduard Gröller,et al.  The VesselGlyph: focus & context visualization in CT-angiography , 2004, IEEE Visualization 2004.

[14]  J. Olin,et al.  Peripheral artery disease: current insight into the disease and its diagnosis and management. , 2010, Mayo Clinic proceedings.

[15]  Henrik S. Thomsen,et al.  Nephrogenic systemic fibrosis (NSF): a late adverse reaction to some of the gadolinium based contrast agents , 2007, Cancer imaging : the official publication of the International Cancer Imaging Society.

[16]  Örjan Smedby,et al.  An interactive software module for visualizing coronary arteries in CT angiography , 2008, International Journal of Computer Assisted Radiology and Surgery.

[17]  Hiroyuki Yoshida,et al.  Fast and robust computation of colon centerline in CT colonography. , 2004, Medical physics.

[18]  Örjan Smedby,et al.  Vessel Segmentation Using Implicit Model-Guided Level Sets , 2012, MICCAI 2012.

[19]  T. Todd Elvins,et al.  A survey of algorithms for volume visualization , 1992, COMG.

[20]  M. Sluzewski,et al.  3D Rotational Angiography: The New Gold Standard in the Detection of Additional Intracranial Aneurysms , 2008, American Journal of Neuroradiology.

[21]  Katja Bühler,et al.  Geometric Methods for Vessel Visualization and Quantification — A Survey , 2004 .

[22]  Hiroyuki Yoshida,et al.  Computer-aided diagnosis scheme for detection of polyps at CT colonography. , 2002, Radiographics : a review publication of the Radiological Society of North America, Inc.

[23]  Michael Romann,et al.  Validation of digit-length ratio (2D:4D) assessments on the basis of DXA-derived hand scans , 2015, BMC Medical Imaging.

[24]  M. Akahane,et al.  Non‐contrast enhanced MR angiography: Established techniques , 2012, Journal of magnetic resonance imaging : JMRI.

[25]  L H Kuller,et al.  Lower-extremity arterial disease in older hypertensive adults. , 1993, Arteriosclerosis and thrombosis : a journal of vascular biology.

[26]  H. C. Stary,et al.  Natural history and histological classification of atherosclerotic lesions: an update. , 2000, Arteriosclerosis, thrombosis, and vascular biology.

[27]  O Smedby,et al.  Two-dimensional tortuosity of the superficial femoral artery in early atherosclerosis. , 1993, Journal of vascular research.

[28]  R. Gill Pulsed Doppler with B-mode imaging for quantitative blood flow measurement. , 1979, Ultrasound in medicine & biology.

[29]  Martin R. Prince,et al.  3D Contrast MR Angiography , 1997 .

[30]  Örjan Smedby,et al.  How to measure renal artery stenosis - a retrospective comparison of morphological measurement approaches in relation to hemodynamic significance , 2015, BMC Medical Imaging.

[31]  Kaleem Siddiqi,et al.  Flux driven fly throughs , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[32]  Jeffrey W. Prescott,et al.  Quantitative Imaging Biomarkers: The Application of Advanced Image Processing and Analysis to Clinical and Preclinical Decision Making , 2013, Journal of Digital Imaging.

[33]  Hans Frimmel,et al.  Centerline-based colon segmentation for CT colonography. , 2005, Medical physics.

[34]  H L Abrams,et al.  Complications of angiography. , 1981, Radiology.

[35]  Hüseyin Tek,et al.  A Unified Minimal Path Tracking and Topology Characterization Approach for Vascular Analysis , 2010, MIAR.

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

[37]  C Yuan,et al.  Measurement of atherosclerotic carotid plaque size in vivo using high resolution magnetic resonance imaging. , 1998, Circulation.

[38]  Isabelle Bloch,et al.  A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes , 2009, Medical Image Anal..

[39]  D C Harrison,et al.  Dynamic gadolinium‐enhanced three‐dimensional abdominal MR arteriography , 1993, Journal of magnetic resonance imaging : JMRI.

[40]  P Pignoli,et al.  Intimal plus medial thickness of the arterial wall: a direct measurement with ultrasound imaging. , 1986, Circulation.

[41]  Örjan Smedby,et al.  Integrating automatic and interactive methods for coronary artery segmentation: let the PACS workstation think ahead , 2009, International Journal of Computer Assisted Radiology and Surgery.

[42]  Hiroyuki Yoshida,et al.  Automated Knowledge-Guided Segmentation of Colonic Walls for Computerized Detection of Polyps in CT Colonography , 2002, Journal of computer assisted tomography.

[43]  Stephen R. Aylward,et al.  Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction , 2002, IEEE Transactions on Medical Imaging.

[44]  A. Sonnenberg,et al.  Cost-Effectiveness of Colonoscopy in Screening for Colorectal Cancer , 2000, Annals of Internal Medicine.

[45]  A. Grüntzig,et al.  Technique of percutaneous transluminal angioplasty with the Grüntzig ballon catheter. , 1979, AJR. American journal of roentgenology.

[46]  S. Achenbach,et al.  Detection of Calcified and Noncalcified Coronary Atherosclerotic Plaque by Contrast-Enhanced, Submillimeter Multidetector Spiral Computed Tomography: A Segment-Based Comparison With Intravascular Ultrasound , 2003, Circulation.

[47]  Hüseyin Tek,et al.  Robust Vessel Tree Modeling , 2008, MICCAI.

[48]  M Bjørn,et al.  Consecutive screening and enrollment in clinical trials: the way to representative patient samples? , 1998, Journal of cardiac failure.

[49]  T van Walsum,et al.  Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach. , 2009, Medical physics.

[50]  H. Frimmel,et al.  Fast level-set based image segmentation using coherent propagation. , 2014, Medical physics.

[51]  Anthony J. Yezzi,et al.  Vessels as 4-D Curves: Global Minimal 4-D Paths to Extract 3-D Tubular Surfaces and Centerlines , 2007, IEEE Transactions on Medical Imaging.

[52]  Deborah Silver,et al.  Curve-Skeleton Properties, Applications, and Algorithms , 2007, IEEE Transactions on Visualization and Computer Graphics.

[53]  E. Fishman,et al.  Volume rendering versus maximum intensity projection in CT angiography: what works best, when, and why. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

[54]  H V Anderson,et al.  Measurement of transstenotic pressure gradient during percutaneous transluminal coronary angioplasty. , 1986, Circulation.

[55]  Azriel Rosenfeld,et al.  Digital topology: Introduction and survey , 1989, Comput. Vis. Graph. Image Process..

[56]  Christopher K. Zarins,et al.  Computed Fractional Flow Reserve (FFTCT) Derived from Coronary CT Angiography , 2013, Journal of Cardiovascular Translational Research.

[57]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

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

[59]  G D Rubin,et al.  CT angiography with spiral CT and maximum intensity projection. , 1992, Radiology.

[60]  Bernd Freisleben,et al.  A Fast Vessel Centerline Extraction Algorithm for Catheter Simulation , 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07).