Probabilistic model for 3D interactive segmentation
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- 作者：Tsachi Hershkovicha ; b ; Tamar Shalmonb ; c ; Ohad Shitrita ; b ; Nir Halaya ; Bjoern H. Menzee ; Irit Dolgopyatd ; Itamar Kahnd ; Ilan Shelefb ; c ; Tammy Riklin Raviv ; a ; b ; rrtammy@ee.bgu.ac.il" class="auth_mail" title="E-mail the corresponding author ; tammy@csail.mit.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Image segmentation ; User interaction ; Probabilistic model ; MR & CT Brain imaging ; Modality fusion
- 刊名：Computer Vision and Image Understanding
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：151
- 期：Complete
- 页码：47-60
- 全文大小：5039 K
文摘
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Interactive 3D medical image segmentation based on a Bayesian inference is suggested.
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User-machine “dialogue” is allowed by a few mouse clicks in regions of disagreement.
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User input is formulated as a probabilistic spatial term in a level-set functional.
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A generic method which accommodates different modalities, e.g. CT and multimodal MRI.
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GUI for clinical uses allows real-time, high performance with minimal user feedback.