Title :
P6C-5 Information Theoretic Design of Breast Sonography
Author :
Insana, Michael F. ; Abbey, Craig K.
Author_Institution :
Univ. of Illinois at Urbana-Champaign, Urbana
Abstract :
Assessing and optimizing diagnostic performance of medical imaging technology is important and challenging. We have extended an information theoretic approach based on the ideal observer for the discrimination of breast lesions in sonography to discover system configurations optimized for specific lesions features. The focus in this work is to examine the effects of various beamforming strategies on the discrimination of lesion boundary features.
Keywords :
biomedical ultrasonics; feature extraction; information theory; medical image processing; ultrasonic imaging; beamforming strategy; breast lesions; breast sonography; diagnostic performance optimisation; information theoretic design; lesion boundary feature descrimination; medical imaging technology; ultrasonic imaging; Acoustic imaging; Breast cancer; Cancer detection; Clinical trials; Design engineering; Displays; Humans; Lesions; Ultrasonic imaging; Ultrasonography;
Conference_Titel :
Ultrasonics Symposium, 2007. IEEE
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-1384-3
Electronic_ISBN :
1051-0117
DOI :
10.1109/ULTSYM.2007.625
