By Topic

Computerized Classification Method for Differentiating Between Benign and Malignant Lesions on Breast MR Images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hui Wang ; Health Group Global R&D Center, Eastman Kodak Co., Shanghai ; Zhimin Huo ; Jiwu Zhang

Contrast-enhanced breast MRI has been shown to have very high sensitivity in the detection of breast cancers. A new computerized classification method for differentiating between benign and malignant lesions on breast MRIs was developed. This method was based on temporal feature analysis. We experimented with a set of thresholds of the contrast uptake and washout speed to automatically determine suspicious malignant areas. An angiogenesis map was generated to indicate suspicious malignant areas by color. The results obtained from the retrospective analysis on 64 malignant and 29 benign breast lesions showed that our method achieved 90.5% (57/63) sensitivity in detecting malignant lesions, and it correctly classified 55% (16/29) benign lesions as benign. The study results demonstrated the effectiveness of this temporal feature analysis method for the detection of malignant lesions and its performance in delineating malignant lesions from benign lesions

Published in:

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Date of Conference:

17-18 Jan. 2006