Abstract:
:We propose a joint segmentation and groupwise registration method for dynamic cardiac perfusion images that uses temporal information. The nature of perfusion images makes groupwise registration especially attractive as the temporal information from the entire image sequence can be used. Registration aims to maximize the smoothness of the intensity signal while segmentation minimizes a pixel's dissimilarity with other pixels having the same segmentation label. The cost function is optimized in an iterative fashion using B-splines. Tests on real patient datasets show that compared with two other methods, our method shows lower registration error and higher segmentation accuracy. This is attributed to the use of temporal information for groupwise registration and mutual complementary registration and segmentation information in one framework while other methods solve the two problems separately.
journal_name
J Digit Imagingjournal_title
Journal of digital imagingauthors
Mahapatra Ddoi
10.1007/s10278-012-9497-zsubject
Has Abstractpub_date
2013-04-01 00:00:00pages
173-82issue
2eissn
0897-1889issn
1618-727Xjournal_volume
26pub_type
杂志文章abstract::Automatic bone segmentation of computed tomography (CT) images is an important step in image-guided surgery that requires both high accuracy and minimal user interaction. Previous attempts include global thresholding, region growing, region competition, watershed segmentation, and parametric active contour (AC) approa...
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