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Proceedings Paper

A framework for joint image-and-shape analysis
Author(s): Yi Gao; Allen Tannenbaum; Sylvain Bouix
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Paper Abstract

Techniques in medical image analysis are many times used for the comparison or regression on the intensities of images. In general, the domain of the image is a given Cartesian grids. Shape analysis, on the other hand, studies the similarities and differences among spatial objects of arbitrary geometry and topology. Usually, there is no function defined on the domain of shapes. Recently, there has been a growing needs for defining and analyzing functions defined on the shape space, and a coupled analysis on both the shapes and the functions defined on them. Following this direction, in this work we present a coupled analysis for both images and shapes. As a result, the statistically significant discrepancies in both the image intensities as well as on the underlying shapes are detected. The method is applied on both brain images for the schizophrenia and heart images for atrial fibrillation patients.

Paper Details

Date Published: 21 March 2014
PDF: 4 pages
Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90340V (21 March 2014); doi: 10.1117/12.2043276
Show Author Affiliations
Yi Gao, The Univ. of Alabama at Birmingham (United States)
Allen Tannenbaum, Stony Brook Univ. (United States)
Sylvain Bouix, Harvard Medical School (United States)


Published in SPIE Proceedings Vol. 9034:
Medical Imaging 2014: Image Processing
Sebastien Ourselin; Martin A. Styner, Editor(s)

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