Computer-aided diagnosis in breast MRI based on ICA and unsupervised clustering techniques

Anke Meyer-Baese; Oliver Lange; Axel Wismuller M.D.; Gerda Leinsinger

doi:10.1117/12.601007

28 March 2005 Computer-aided diagnosis in breast MRI based on ICA and unsupervised clustering techniques

Anke Meyer-Baese, Oliver Lange, Axel Wismuller M.D., Gerda Leinsinger

Author Affiliations +

Proceedings Volume 5818, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III; (2005) https://doi.org/10.1117/12.601007
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Exploratory data analysis techniques are applied to the segmentation of lesions in MRI mammography as a first step of a computer-aided diagnosis system. ICA and clustering techniques are tested on biomedical time-series representing breast MRI scans. This techniques enable the extraction of spatial and temporal features of dynamic MRI data stemming from patients with confirmed lesion diagnosis. By revealing regional properties of contrast-agent uptake characterized by subtle differences of signal amplitude and dynamics, these methods provide both a set of prototypical time-series and a corresponding set of cluster assignment maps which further provide a segmentation with regard to identification and regional subclassification of pathological breast tissue lesions.

Citation Download Citation

Anke Meyer-Baese, Oliver Lange, Axel Wismuller M.D., and Gerda Leinsinger "Computer-aided diagnosis in breast MRI based on ICA and unsupervised clustering techniques", Proc. SPIE 5818, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III, (28 March 2005); https://doi.org/10.1117/12.601007

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