Title :
3-D Bayesian ultrasound breast image segmentation using the EM/MPM algorithm
Author :
Christopher, Lauren A. ; Delp, Edward J. ; Meyer, Charles R. ; Carson, Paul L.
Author_Institution :
Video & Image Process. Lab., Purdue Univ., West Lafayette, IN, USA
Abstract :
In this paper, ultrasound breast image segmentation is improved by using the volumetric data available in neighboring slices. The new algorithm extends the EM/MPM framework to 3D by including pixels from neighboring frames in the Markov Random Field (MRF) clique. In addition, this paper describes a unique linear cost factor introduced in the optimization loop to compensate for the attenuation common to ultrasound images.
Keywords :
Bayes methods; Markov processes; biomedical ultrasonics; image segmentation; mammography; medical image processing; optimisation; ultrasonic absorption; 3-D Bayesian ultrasound breast image segmentation; EM/MPM algorithm; Markov Random Field clique; attenuation compensation; medical diagnostic imaging; neighboring frames; optimization loop; pixels; ultrasound images; unique linear cost factor; Acoustic noise; Attenuation; Bayesian methods; Breast; Cost function; Image processing; Image segmentation; Magnetic resonance imaging; Markov random fields; Ultrasonic imaging;
Conference_Titel :
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7584-X
DOI :
10.1109/ISBI.2002.1029199
