DocumentCode :
3777474
Title :
Constraint Split Bregman method combined with total variation for structural decomposition of breast DCE-MRI
Author :
Shujuan Li; Hui Liu; Dongmei Guo; Yuanjie Zheng;James C. Gee; Zuowei Zhao
Author_Institution :
Department of Biomedical Engineering, Dalian University of Technology, China
Volume :
1
fYear :
2015
Firstpage :
1306
Lastpage :
1310
Abstract :
Dynamic contrast enhanced magnetic imaging (DCE-MRI) is one of the most valuable methods for detecting breast lesions. The time intensity curve (TIC) acquired from a series of dynamic images is critical for distinguishing benign lesions and cancer. However, the TIC is often distorted by the original intensity of fine scale-details and the boundary of the normal tissue. In this paper, the constraint Split Bregman method combined with total variation (CSB-TV) is proposed to decompose the original image into texture part and structure part. A convex constraint item is introduced to ensure the consistence of texture images and convergence of algorithm. To accelerate the computational process, we employ the Split Bregman iteration algorithm. On a total of 60 breast DCE-MRI studies, the TICs obtained from the structure images acquired by CSB-TV are more consistent with three-time-point (3TP) method and pathological result. The main improvement of this algorithm is a significantly more accurate lesion classification (i.e., higher AUC) which turns out into better quality of TICs.
Keywords :
"Lesions","Cancer","Breast","Pathology","Algorithm design and analysis","Heuristic algorithms","Contracts"
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
Type :
conf
DOI :
10.1109/ICCSNT.2015.7490970
Filename :
7490970
Link To Document :
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