Diagnosis of breast cancer by MRI: a 3D computer visualization and analysis system

Chris Yuzheng Wu; Richard H. Patt M.D.; Matthew T. Freedman M.D.; Seong Ki Mun

doi:10.1117/12.238500

15 April 1996 Diagnosis of breast cancer by MRI: a 3D computer visualization and analysis system

Chris Yuzheng Wu, Richard H. Patt M.D., Matthew T. Freedman M.D., Seong Ki Mun

Proceedings Volume 2707, Medical Imaging 1996: Image Display; (1996) https://doi.org/10.1117/12.238500
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

The conventional diagnosis of breast cancer by a combination of mammography and physical examination has limited efficacy. Only 20 - 30% of the suspicious breast lesions biopsied are actually malignant. Breast MRI (BMRI), using intravenous contrast injection to detect and characterize breast lesions, has shown promise in several studies. We are developing a 3D image visualization and analysis system to assist radiologists to detect breast cancer in BMRI. Dynamic contrast-enhanced MRI has emerged to become an effective procedure in BMRI for the diagnosis and management of breast carcinoma. A 3D image visualization and analysis system that allows a radiologist to rapidly search through BMRI images and visualize three- dimensional volume of a whole breast has been developed. Three dimensional breast images were constructed from 2D slices. The system can register and subtract a pre-contrast image from each of the time sequenced post-contrast images. The dynamic time sequences of the breast before and after the contrast administration can be visualized. Suspicious lesions can be detected based on the dynamic time-sequence changes in images. The system also allows interactive manipulation of images for viewing from different angles and examination of 2D projections at specific locations. The developed 3D image visualization and analysis system provided radiologists an efficient way to analyze MR breast images. Our automated detection scheme has the potential to accurately detect suspicious lesions and can be an effective tool to facilitate the clinical application of MRI for breast imaging.

Citation Download Citation

Chris Yuzheng Wu, Richard H. Patt M.D., Matthew T. Freedman M.D., and Seong Ki Mun "Diagnosis of breast cancer by MRI: a 3D computer visualization and analysis system", Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); https://doi.org/10.1117/12.238500

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