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