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Proceedings Paper

Segmentation guided registration for medical images
Author(s): Jundong Liu
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Paper Abstract

Registration and segmentation are two most important problems in the field of medical image analysis. Traditionally, they were treated as separate problems. In this paper, we introduce a unified variational framework for simultaneously carrying out image segmentation and registration. Segmentation information is integrated into the process of registration in leading to a more stable and noise-tolerant shape evolution, while a diffusion model is used to infer the volumetric deformation across the image. One of the major advantages of our model is its robustness against image noise. We present several 2D examples on synthetic and real data.

Paper Details

Date Published: 29 April 2005
PDF: 8 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.595990
Show Author Affiliations
Jundong Liu, Ohio Univ. (United States)


Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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