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Knowledge Based 3D Medical Segmentation

Institution:
Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Publisher:
Ph.D. Thesis, MIT
Publication Date:
May-1999
Citation:
Ph.D. Thesis, MIT, 1999.
Appears in Collections:
SPL
Generated Citation:
Kapur T. Knowledge Based 3D Medical Segmentation. Ph.D. Thesis, MIT, 1999.
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Recent years have witnessed a tremendous growth in the role of computing in image- guided Medicine and Neuroscience. Interventional radiologists and surgeons at lead- ing research institutions have upgraded the “light-box method” of studying images in which one views films of two-dimensional cross-sections of a patient’s medical scan by mounting them on a light-box (see Figure 1-1), to one where they now routinely use three-dimensional visualizations of the data such as the ones shown in Figures 1- 2,1-3, (See [ETH, MAYO, MNI, SPL, MGH, JHU, SHADYSIDE, LEUVEN, UCLA, UCSF, GUYS, GE, MERL, INRIA] for overview of image guided medicine at some of the leading research laboratories).

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