Model-Based Image Segmentation for Image-Guided Interventions
Medical image segmentation plays an important role in the field of image-guided surgery and minimally invasive interventions. By creating three-dimensional anatomical models from individual patients, training, planning, and computer guidance during surgery can be improved. This chapter briefly describes the most frequently used image segmentation techniques, shows examples of their application and potential in the field of image-guided surgery and interventions, and discusses future trends.
KeywordsImage Segmentation Deformable Model Active Appearance Model Active Shape Model Statistical Shape Model
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- Brox T and Weickert J. (2004). “Level set based image segmentation with multiple regions.” Pattern Recognit, 3175, 415-423.Google Scholar
- Ding M, Wei Z, Gardi L, Downey DB, and Fenster A. (2006). “Needle and seed segmentation in intra-operative 3D ultrasound-guided prostate brachytherapy.” Ultrasonics, 44(Suppl 1), e331-e336.Google Scholar
- Duda RO, Hart PE, and Stork DG. (2000). Pattern Classification, Second Edition, ISBN: 987-0-471-05669-0, Wiley Interscience.Google Scholar
- Kichenassamy S, Kuma A, Olver PJ, Tannenbaum A, and Yezzi AJ. (1995). “Gradient flows and geometric active contour models.” Proceedings of the Fifth International Conference on Computer Vision, IEEE Computer Society Press, Washington DC, USA, 810-815.Google Scholar
- Mazonakis M, Damilakis J, Varveris H, Prassopoulos P, and Gourtsoyiannis N. (2001). “Image segmentation in treatment planning for prostate cancer using the region growing technique.” Br J Radiol, 74(879), 243-248.Google Scholar
- Mazzara GP, Velthuizen RP, Pearlman JL, Greenberg HM, and Wagner H. (2004). “Brain tumor target volume determination for radiation treatment planning through automated MRI segmentation.” Int J Radiat Oncol Biol Phys, 59(1), 300-312.Google Scholar
- Metaxas DN. (1996). Physics-Based Deformable Models Applications to Computer Vision, Graphics, and Medical Imaging, Kluwer Academic, Boston MA.Google Scholar
- Pettersson J, Knutsson H, Nordqvist P, and Borga M. (2006). “A hip surgery simulator based on patient specific models generated by automatic segmen-tation.” Stud Health Technol Inf, 119, 431-436.Google Scholar
- Popple RA, Griffith HR, Sawrie SM, Fiveash JB, and Brezovich IA. (2006). “Implementation of talairach atlas based automated brain segmentation for radiation therapy dosimetry.” Technol Cancer Res Treat, 5(1), 15-21.Google Scholar
- Singh A, Goldgof D, and Terzopoulos D (Eds.). (1998). Deformable Models in Medical Image Analysis, IEEE Computer Society Press, Los Alamitos, CA.Google Scholar