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

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

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available