Multiatlas segmentation of thoracic and abdominal anatomy with level set‐based local search
暂无分享,去创建一个
[1] Lei Dong,et al. Reduce in variation and improve efficiency of target volume delineation by a computer-assisted system using a deformable image registration approach. , 2007, International journal of radiation oncology, biology, physics.
[2] Grégoire Malandain,et al. Atlas-based delineation of lymph node levels in head and neck computed tomography images. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[3] Linda G Shapiro,et al. Head and neck lymph node region delineation with image registration , 2010, Biomedical engineering online.
[4] Jean-Philippe Thirion,et al. Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..
[5] Martin Styner,et al. Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets , 2009, IEEE Transactions on Medical Imaging.
[6] William M. Wells,et al. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation , 2004, IEEE Transactions on Medical Imaging.
[7] Alex M. Andrew,et al. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science (2nd edition) , 2000 .
[8] James A. Sethian,et al. Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid , 2012 .
[9] Lei Xing,et al. 2785 : Automatic Contouring in 4D Radiation Therapy , 2006 .
[10] J. F. De Los Santos,et al. Automatic segmentation of whole breast using atlas approach and deformable image registration , 2009 .
[11] Elena Casiraghi,et al. A segmentation framework for abdominal organs from CT scans , 2010, Artif. Intell. Medicine.
[12] Guillermo Sapiro,et al. Geodesic Active Contours , 1995, International Journal of Computer Vision.
[13] Xiao Han,et al. Atlas-Based Auto-segmentation of Head and Neck CT Images , 2008, MICCAI.
[14] Iddo Wernick,et al. Atlas-based segmentation improves consistency and decreases time required for contouring postoperative endometrial cancer nodal volumes. , 2011, International journal of radiation oncology, biology, physics.
[15] Daniel Rueckert,et al. Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation , 2010, NeuroImage.
[16] Michael Unser,et al. Optimization of mutual information for multiresolution image registration , 2000, IEEE Trans. Image Process..
[17] Jorge Nocedal,et al. On the limited memory BFGS method for large scale optimization , 1989, Math. Program..
[18] L. Xing,et al. Image interpolation in 4D CT using a BSpline deformable registration model. , 2006, International journal of radiation oncology, biology, physics.
[19] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[20] Christian Barillot,et al. Atlas-based segmentation of 3D cerebral structures with competitive level sets and fuzzy control , 2009, Medical Image Anal..
[21] Laurence Court,et al. Automatic contouring of brachial plexus using a multi-atlas approach for lung cancer radiation therapy. , 2013, Practical radiation oncology.
[22] Wei Xiong,et al. Liver tumour segmentation using contrast-enhanced multi-detector CT data: performance benchmarking of three semiautomated methods , 2010, European Radiology.
[23] Jianwu Xu,et al. Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms. , 2010, Medical physics.
[24] Jie Tian,et al. Automatic liver segmentation from CT scans based on a statistical shape model , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[25] David R. Haynor,et al. PET-CT image registration in the chest using free-form deformations , 2003, IEEE Transactions on Medical Imaging.
[26] Daniel Rueckert,et al. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion , 2006, NeuroImage.
[27] Yoshinobu Sato,et al. Liver segmentation by intensity analysis and anatomical information in multi-slice CT images , 2009, International Journal of Computer Assisted Radiology and Surgery.
[28] J. Sethian. Evolution, implementation, and application of level set and fast marching methods for advancing fronts , 2001 .
[29] E. Fishman,et al. Automatic liver segmentation technique for three-dimensional visualization of CT data. , 1996, Radiology.
[30] O. Commowick,et al. A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[31] J. Sethian. A review of level set and fast marching methods for image processing , 2002 .
[32] N. Ayache,et al. Atlas-based automatic segmentation of MR images: validation study on the brainstem in radiotherapy context. , 2005, International journal of radiation oncology, biology, physics.
[33] James A. Sethian,et al. Level set and fast marching methods in image processing and computer vision , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[34] Di Yan,et al. Automatic delineation of on-line head-and-neck computed tomography images: toward on-line adaptive radiotherapy. , 2007, International journal of radiation oncology, biology, physics.
[35] Laurence Court,et al. Automatic contouring of brachial plexus using a multi-atlas approach for lung cancer radiotherapy. , 2013, Practical radiation oncology.
[36] Heinz Handels,et al. Atlas-based segmentation of bone structures to support the virtual planning of hip operations , 2001, Int. J. Medical Informatics.
[37] L Dong,et al. Quantification of accuracy of the automated nonlinear image matching and anatomical labeling (ANIMAL) nonlinear registration algorithm for 4D CT images of lung. , 2007, Medical physics.
[38] Radhe Mohan,et al. Performance evaluation of automatic anatomy segmentation algorithm on repeat or four-dimensional computed tomography images using deformable image registration method. , 2008, International journal of radiation oncology, biology, physics.
[39] Binsheng Zhao,et al. Liver segmentation for CT images using GVF snake. , 2005, Medical physics.
[40] Xiao Han,et al. Clinical validation of atlas-based auto-segmentation of multiple target volumes and normal tissue (swallowing/mastication) structures in the head and neck. , 2011, International journal of radiation oncology, biology, physics.
[41] Joshua D. Lawson,et al. Evaluation of automatic atlas-based lymph node segmentation for head-and-neck cancer. , 2010, International journal of radiation oncology, biology, physics.
[42] Grégoire Malandain,et al. Construction of Patient Specific Atlases from Locally Most Similar Anatomical Pieces , 2010, MICCAI.
[43] Alexander Hammers,et al. Evaluation of atlas-based segmentation of hippocampi in healthy humans. , 2009, Magnetic resonance imaging.
[44] L Xing,et al. Motion correction for improved target localization with on-board cone-beam computed tomography , 2006, Physics in medicine and biology.
[45] Marilyn E. Noz,et al. Lymphatic atlas-based target volume definition for intensity-modulated radiation therapy planning , 2007 .
[46] Grégoire Malandain,et al. Evaluation of an atlas-based automatic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context. , 2008, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[47] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .
[48] Torsten Rohlfing,et al. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains , 2004, NeuroImage.
[49] Max A. Viergever,et al. Multi-Atlas-Based Segmentation With Local Decision Fusion—Application to Cardiac and Aortic Segmentation in CT Scans , 2009, IEEE Transactions on Medical Imaging.
[50] Daniel Rueckert,et al. Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy , 2009, NeuroImage.
[51] Eric A. Hoffman,et al. Atlas-driven lung lobe segmentation in volumetric X-ray CT images , 2006, IEEE Transactions on Medical Imaging.