Fully Automatic Anatomical, Pathological, and Functional Segmentation from CT Scans for Hepatic Surgery

References

• Fasel J, Gailloud P, Terrier F, Mentha G, Sprumont P. Segmental anatomy of the liver: a review and proposal for an international working nomenclature. Eur Radiol 1996; 6(6)834–837
   PubMed Web of Science ®Google Scholar
• Fasel J, Selle D, Evertsz C, Terrier F, Peitgen H, Gailloud P. Segmental anatomy of the liver: poor correlation with CT. Radiology 1998; 206: 151–156
   PubMed Web of Science ®Google Scholar
• Goldsmith N, Woodburne R. The surgical anatomy pertaining to liver resections. Surg Gynecol Obstet 1957; 105: 310–318
   PubMedGoogle Scholar
• Couinaud C. Le foie: Etudes Anatomiques et Chirurgicales. Masson Edition, France 1957
   Google Scholar
• Montagnat J, Delingette H (1997) Volumetric medical images segmentation using shape constrained deformable models. Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assisted Surgery (CVRMed-MRCAS'97), GrenobleFrance, March, 1997, J Troccaz, E Grimson, R Mösges. Springer, Berlin, Vol. 1205: 13–22, Lecture Notes in Computer Science
   Google Scholar
• Gao L, Heath D G., Kuszyk B S., Fishman E K. Automatic liver segmentation techniques for three-dimensional visualization of CT data. Radiology 1996; 201(2)359–364
   PubMed Web of Science ®Google Scholar
• Chou J S., Chen S Y., Sudakoff G S., Hoffmann K R., Chen C T., Dachman A H. Image fusion for visualization of hepatic vasculature and tumors. Proceedings of SPIE Medical Imaging 1995: Image Processing. SPIE Proceed 1995; 2434: 157–163
   Google Scholar
• Bae K T., Giger M L., Chen C T., Kahn C E. Automatic segmentation of liver structure in CT images. Med Phys 1993; 20(1)71–78
   PubMed Web of Science ®Google Scholar
• Matsushita S, Oyamada H, Kusakabe M, Suzuki N. Attempt to extract 3-D image of liver automatically out of abdominal MRI. Proceedings of SPIE Medical Imaging 1993: Image Processing. SPIE Proceed 1993; 1898: 803–808
   Google Scholar
• Inaoka N, Suzuki H, Fukuda M. SPIE Proceed 1652 1992; 509–513
   Google Scholar
• Masutani Y, Yamauchi Y, Suzuki M, Ohta Y, Dohi T, Tsuzuki M, Hashimoto D. Development of interactive vessel modelling system for hepatic vasculature from MR images. Med Biomed Eng Comp 1995; 33(1)97–101
   PubMed Web of Science ®Google Scholar
• Zahlten C, Jürgens H, Evertsz C JG, Leppek R, Peitgen H O., Klose K J. Portal vein reconstruction based on topology. Eur J Radiol 1995; 19(2)96–100
   PubMed Web of Science ®Google Scholar
• Zahlten C, Jürgens H, Peitgen H O. Reconstruction of branching blood vessels from CT-data. Workshop of Visualization in Scientific Computing. Eurographics 1995. Springer, Berlin 1995; 41–52
   Google Scholar
• Selle D, Schindewolf T, Evertsz C JG, Peitgen H O. (1998) Quantitative analysis of CT liver images. Proceedings of International Workshop on Computer Aided Diagnosis in Medical Imaging, ICS 1182., Chicago, 1998
   Google Scholar
• Bellon E, Feron M, Maes F, Van Hoe L, Delaere D, Haven F, Sunaert S, Baert A L., Marchal G, Suetens P. Evaluation of manual vs semi-automated delineation of liver lesions on CT images. Eur Radiol 1997; 7(3)432–438
   PubMed Web of Science ®Google Scholar
• Kovalev V A. Rule-based method for tumor recognition in liver ultrasonic images. Image Analysis and Processing. Lecture Notes in Computer Science, Vol. 974. Springer, Berlin 1995; 217–222
   Google Scholar
• Brown L G. A survey of image registration techniques. ACM Comput Surveys 1994; 24(4)325–376
   Web of Science ®Google Scholar
• McInerney T, Terzopoulos D (1993) A finite element model for 3D shape reconstruction and nonrigid motion tracking. Proceedings of International Conference on Computer Vision. 1993. IEEE Computer Society Press, Berlin, 518–523
   Google Scholar
• Kass M, Witkin A, Terzopoulos D. Snakes: active shape models. Int J Comp Vision 1987; 1(4)321–331
   Web of Science ®Google Scholar
• Krissian K, Malandain G, Ayache N. Directional Anisotropic Diffusion Applied to Segmentation of Vessels in 3D Images. INRIA France, RR-3064. 1996
   Google Scholar
• Press W H., Flannery B P., Teukolsky S A., Vetterling W T. Numerical Recipes in C. Cambridge University Press. 1998
   Google Scholar
• Bammer R, Stollberger R, Pedevilla M, Ropele S, Ebner F, Wach P (1997) Automated tissue classification of extremities using knowledge-based segmentation of MR images. Proceedings of the 11th International Symposium and Exhibition (CAR'97), Berlin, June, 1997, H U. Lemke, M W. Vannier, K Inamura. Elsevier, Amsterdam, 252–258, Computer Assisted Radiology and Surgery
   Google Scholar
• Atkins M S., Mackiewich B T. Automatic segmentation of the brain in MRI. Visualization in Biomedical Computing 1996. Lecture Notes in Computer Science 1131. Springer Verlag, Berlin 1996; 241–246
   Google Scholar
• Goshtasby A, O'Neill W D. Curve fitting by a sum of gaussians. CVGIP: Graph Models Image Process 1994; 56(4)281–288
   Google Scholar
• Brummer M E., Mersereau R M., Eisner R L., Lewine R J. Automatic detection of brain contours in MRI data sets. IEEE Trans Med Imaging 1993; 12(2)153–166
   PubMed Web of Science ®Google Scholar
• Bellocq J P., Marcellin L, Chenard-Neu M P. Anatomie pathologique des metastases hépatiques des adénocarcinomes colorectaux. Traitement des métastases hépatiques des cancers colorectaux. Springer, Berlin 1992; 11–25
   Google Scholar
• Bertrand G, Malandain G. A new characterization of three-dimensional simple points. Pattern Recognit Lett 1994; 15(2)169–175
   Web of Science ®Google Scholar
• Malandain G, Bertrand G, Ayache N. Topological segmentation of discrete surfaces. Int J Comp Vision 1993; 10(2)183–197
   Web of Science ®Google Scholar