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Proceedings Paper

Correlation of lesions from multiple images for CAD
Author(s): Hui-Hua Wen; Maryellen Lissak Giger; Karla Horsch; R. Edward Hendrick; Carl J. Vyborny; Li Lan
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Paper Abstract

The object of this research is to investigate a method for determining whether two different imaged presentations of a lesion actually represent the same abnormality. Tasks of this kind are expected to arise in numerous applications, including when interpreting multi-view mammograms or multi-modal images for breast cancer diagnosis and when comparing breast images in longitudinal studies for evaluation of disease prognosis or treatment outcome. Currently, we consider the above-stated discrimination task in two-view breast sonography. We are studying image-based feature(s) and are developing general correlation formulation that uses the identified feature(s). By using a database of 262 actual breast lesions we have obtained promising initial results that yield an Az value of 0.82 in the task of distinguishing between corresponding lesion pairs and non-corresponding lesion pairs.

Paper Details

Date Published: 12 May 2004
PDF: 4 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.535750
Show Author Affiliations
Hui-Hua Wen, Univ. of Chicago (United States)
Maryellen Lissak Giger, Univ. of Chicago (United States)
Karla Horsch, Univ. of Chicago (United States)
R. Edward Hendrick, Northwestern Univ. (United States)
Carl J. Vyborny, Univ. of Chicago (United States)
Li Lan, Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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