Automatically assigned DDC number: 6160754

Manually assigned DDC number: 00637

Number of references: 31

Title: Shape Recovery Algorithms Using Level Sets in 2-D/3-D Medical Imagery: A State-of-the-Art Review

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Subject: Jasjit S. Suri,Senior Ieee Member,Sameer Singh,Swamy Laxminarayan,Xiaolan Zeng,Kecheng Liu,Laura Reden Shape Recovery Algorithms Using Level Sets in 2-D/3-D Medical Imagery: A State-of-the-Art Review

Description: The class of geometric deformable models, so-called level sets, has brought tremendous impact to medical imagery due to its capability to preserve topology and fast shape recovery. In an effort to facilitate a clear and full understanding of these powerful state-of-the-art applied mathematical tools, this paper is an attempt to explore these geometric methods, their implementations and integration of regularization terms to improve the robustness of these topologically independent propagating curves/surfaces. This paper first presents the origination of the level sets, followed by the taxonomy tree of level sets. We then derive the fundamental equation of curve/surface evolution and zero-level curves/surfaces. The paper then focuses on the first core class of level sets, the so-called level sets "without regularizers". The next section is devoted on a second kind, so-called level sets "with regularizers". In this class, we present four kinds of systems on the design of the regularizers. Next, the paper presents a third kind of level sets, so-called the "bubble-based" techniques. An entire section is dedicated to optimization and quantification techniques for shape recovery when used with the level sets. Finally, the paper concludes with 22 general merits and four demerits on level sets and the future of level sets in medical image segmentation. We present the applications of level sets to complex shapes likethehuman cortex acquired via MRI for neurological image analysis.

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 2001-01-22

Pubyear: 2001

Format: pdf

Identifier: http://citeseer.ist.psu.edu/461579.html

Source: http://www.dcs.ex.ac.uk/research/pann/pdf/pann_SS_060.pdf

Language: en

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