Title :
A Compton scattering suppression based image reconstruction method for Digital Breast Tomosynthesis
Author :
Xu, Shiyu ; Chen, Ying
Author_Institution :
Dept. of Electr. & Comput. Eng., Southern Illinois Univ., Carbondale, IL, USA
Abstract :
In this paper, we present a novel statistical reconstruction method based on Compton noise suppression for Digital Breast Tomosynthesis. The physical modeling for X-ray´s interaction with tissues was investigated. A Compton noise based statistical model with a conjugate prior was introduced. Results from our proposed method, Backprojection (BP) method, Simultaneous Algebraic Reconstruction Technique (SART) and Maximum Likelihood with Convex Algorithm (MLCA) were compared based on image quality analysis. Compared with other algorithms, our proposed method shows comparable performance. It also produces even better results in the Contrast to Noise Ratio (CNR) evaluation.
Keywords :
algebra; backpropagation; cancer; computerised tomography; convex programming; image denoising; image reconstruction; interference suppression; mammography; maximum likelihood estimation; medical image processing; Compton noise based statistical model; Compton noise suppression; Compton scattering suppression; X-ray interaction; backprojection method; breast cancer detection; contrast-to-noise ratio evaluation; digital breast tomosynthesis; image quality analysis; image reconstruction method; mammography; maximum likelihood-with-convex algorithm; simultaneous algebraic reconstruction technique; statistical reconstruction method; Attenuation; Breast; Image quality; Image reconstruction; Noise; Reconstruction algorithms; Scattering; Bayesian estimation; Digital Breast tomosynthesis; Image quality; Image reconstruction; Maximum A Posteriori (MAP);
Conference_Titel :
Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4673-0491-7
Electronic_ISBN :
2150-3001
DOI :
10.1109/GENSiPS.2011.6169477
