NDLI: Value of a probabilistic atlas in medical image segmentation regarding non-rigid registration of abdominal CT scans

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Value of a probabilistic atlas in medical image segmentation regarding non-rigid registration of abdominal CT scans

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Journal of the Korean Physical Society : Volume 61, Issue 6, September 2012

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Journal of the Korean Physical Society : Volume 60

Value of a probabilistic atlas in medical image segmentation regarding non-rigid registration of abdominal CT scans

Content Provider	Springer Nature Link
Author	Park, Hyunjin Meyer, Charles R.
Copyright Year	2012
Abstract	A probabilistic atlas provides important information to help segmentation and registration applications in medical image analysis. We construct a probabilistic atlas by picking a target geometry and mapping other training scans onto that target and then summing the results into one probabilistic atlas. By choosing an atlas space close to the desired target, we construct an atlas that represents the population well. Image registration used to map one image geometry onto another is a primary task in atlas building. One of the main parameters of registration is the choice of degrees of freedom (DOFs) of the geometric transform. Herein, we measure the effect of the registration’s DOFs on the segmentation performance of the resulting probabilistic atlas. Twenty-three normal abdominal CT scans were used, and four organs (liver, spinal cord, left and right kidneys) were segmented for each scan. A well-known manifold learning method, ISOMAP, was used to find the best target space to build an atlas. In summary, segmentation performance was high for high DOF registrations regardless of the chosen target space, while segmentation performance was lowered for low DOF registrations if a target space was far from the best target space. At the 0.05 level of statistical significance, there were no significant differences at high DOF registrations while there were significant differences at low DOF registrations when choosing different targets.
Starting Page	1156
Ending Page	1162
Page Count	7
File Format	PDF
ISSN	03744884
Journal	Journal of the Korean Physical Society
Volume Number	61
Issue Number	7
e-ISSN	19768524
Language	English
Publisher	The Korean Physical Society
Publisher Date	2012-10-14
Publisher Place	Seoul
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Probabilistic atlas Image analysis Segmentation Target selection Theoretical, Mathematical and Computational Physics Degree of freedom Particle and Nuclear Physics Physics ISOMAP
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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