Correlation of lesions from multiple images for CAD

Hui-Hua Wen; Maryellen Lissak Giger; Karla Horsch; R. Edward Hendrick; Carl J. Vyborny M.D.; Li Lan

doi:10.1117/12.535750

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12 May 2004 Correlation of lesions from multiple images for CAD

Hui-Hua Wen, Maryellen Lissak Giger, Karla Horsch, R. Edward Hendrick, Carl J. Vyborny M.D., Li Lan

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Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.535750
Event: Medical Imaging 2004, 2004, San Diego, California, United States

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 A_z value of 0.82 in the task of distinguishing between corresponding lesion pairs and non-corresponding lesion pairs.

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Hui-Hua Wen, Maryellen Lissak Giger, Karla Horsch, R. Edward Hendrick, Carl J. Vyborny M.D., and Li Lan "Correlation of lesions from multiple images for CAD", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.535750

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