Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value.
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ABSTRACT:
SUBMITTER: Aganj I
PROVIDER: S-EPMC8202781 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
Publications
Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value.
IEEE transactions on medical imaging 20210601 6
The use of multiple atlases is common in medical image segmentation. This typically requires deformable registration of the atlases (or the average atlas) to the new image, which is computationally expensive and susceptible to entrapment in local optima. We propose to instead consider the probability of all possible atlas-to-image transformations and compute the expected label value (ELV), thereby not relying merely on the transformation deemed "optimal" by the registration method. Moreover, we ...[more]
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2004-03-16 | GSE1054 | GEO