Computer Vision Algorithms for Magnetic Resonance Imaging

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Computer Vision Algorithms for Magnetic Resonance Imaging

Junhwan Kim
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The second algorithm produces a segmentation of artery from vein/parenchyma in an input image sequence. Our algorithm uses a model-based time series analysis of individual pixels. We take an energy minimization approach to ensure spatial coherence. The energy is minimized in an expectation-maximization fashion that alternates between segmenting the image into a number of non-overlapping regions and finding the temporal profile parameters which describe the behavior of each region. Preliminary experiments on MR mammography and MR angiography studies show the algorithm's ability to find a reasonable segmentation.
کال:
2003
خپرندویه اداره:
Cornell University
ژبه:
english
ISBN 10:
0496521098
ISBN 13:
9780496521098
فایل:
EPUB, 188 KB
IPFS:
CID , CID Blake2b
english, 2003
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