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Proceedings Paper

Interactive image segmentation framework based on control theory
Author(s): Liangjia Zhu; Ivan Kolesov; Vadim Ratner; Peter Karasev; Allen Tannenbaum
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Paper Abstract

Segmentation of anatomical structures in medical imagery is a key step in a variety of clinical applications. Designing a generic, automated method that works for various structures and imaging modalities is a daunting task. Instead of proposing a new specific segmentation algorithm, in this paper, we present a general design principle on how to integrate user interactions from the perspective of control theory. In this formulation, Lyapunov stability analysis is employed to design an interactive segmentation system. The effectiveness and robustness of the proposed method are demonstrated.

Paper Details

Date Published: 20 March 2015
PDF: 6 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 941343 (20 March 2015); doi: 10.1117/12.2082359
Show Author Affiliations
Liangjia Zhu, Stony Brook Univ. (United States)
Ivan Kolesov, Stony Brook Univ. (United States)
Vadim Ratner, Stony Brook Univ. (United States)
Peter Karasev, Atlanta Agilent Technologies (United States)
Allen Tannenbaum, Stony Brook Univ. (United States)

Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

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