Interactive image segmentation framework based on control theory

Liangjia Zhu; Ivan Kolesov; Vadim Ratner; Peter Karasev; Allen Tannenbaum

doi:10.1117/12.2082359

20 March 2015 Interactive image segmentation framework based on control theory

Liangjia Zhu, Ivan Kolesov, Vadim Ratner, Peter Karasev, Allen Tannenbaum

Proceedings Volume 9413, Medical Imaging 2015: Image Processing; 941343 (2015) https://doi.org/10.1117/12.2082359
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

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.

Citation Download Citation

Liangjia Zhu, Ivan Kolesov, Vadim Ratner, Peter Karasev, and Allen Tannenbaum "Interactive image segmentation framework based on control theory", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 941343 (20 March 2015); https://doi.org/10.1117/12.2082359

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