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Refinement of object-based segmentation.

The University of North Carolina at Chapel Hill., Computer Science.

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Refinement of object-based segmentation.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Refinement of object-based segmentation./
作者:	Levy, Joshua Howard.
面頁冊數:	191 p.
附註:	Adviser: Stephen M. Pizer.
Contained By:	Dissertation Abstracts International69-11B.
標題:	Biophysics, Medical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3330988
ISBN:	9780549880868

Refinement of object-based segmentation.
Levy, Joshua Howard.

Refinement of object-based segmentation. - 191 p.

Adviser: Stephen M. Pizer.

Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2008.

Automated object-based segmentation methods calculate the shape and pose of anatomical structures of interest. These methods require modeling both the geometry and object-relative image intensity patterns of target structures. Many object-based segmentation methods minimize a non-convex function and risk failure due to convergence to a local minimum.

ISBN: 9780549880868Subjects--Topical Terms:

1017681
Biophysics, Medical.

Refinement of object-based segmentation.
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100 1 $a Levy, Joshua Howard. $3 1020591
245 1 0 $a Refinement of object-based segmentation.
300 $a 191 p.
500 $a Adviser: Stephen M. Pizer.
500 $a Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 6924.
502 $a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2008.
520 $a Automated object-based segmentation methods calculate the shape and pose of anatomical structures of interest. These methods require modeling both the geometry and object-relative image intensity patterns of target structures. Many object-based segmentation methods minimize a non-convex function and risk failure due to convergence to a local minimum.
520 $a This dissertation presents three refinements to existing object-based segmentation methods. The first refinement mitigates the risk of local minima by initializing the segmentation closely to the correct answer. The initialization searches pose- and shape-spaces for the object that best matches user specified points on three designated image slices. Thus-initialized m-rep based segmentations of the bladder from CT are frequently better than segmentations reported elsewhere. The second refinement is a statistical test on object-relative intensity patterns that allows estimation of the local credibility of a segmentation. This test effectively identifies regions with local segmentation errors in m-rep based segmentations of the bladder and prostate from CT. The third refinement is a method for shape interpolation that is based on changes in the position and orientation of samples and that tends to be more shape-preserving than a competing linear method. This interpolation can be used with dynamic structures and to understand changes between segmentations of an object in atlas and target images.
520 $a Together, these refinements aid in the segmentation of a dense collection of targets via a hybrid of object-based and atlas-based methods. The first refinement increases the probability of successful object-based segmentations of the subset of targets for which such methods are appropriate, the second increases the user's confidence that those object-based segmentations are correct, and the third is used to transfer the object-based segmentations to an atlas-based method that will be used to segment the remainder of the targets.
590 $a School code: 0153.
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710 2 $a The University of North Carolina at Chapel Hill. $b Computer Science. $3 1020590
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790 1 0 $a Foskey, Mark $e committee member
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790 1 0 $a Pizer, Stephen M., $e advisor
790 1 0 $a Styner, Martin A. $e committee member
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3330988