Title :
3D digital breast tomosynthesis image reconstruction using anisotropic total variation minimization
Author :
Seyyedi, Saeed ; Yildirim, Isa
Author_Institution :
Dept. of Comput.-Aided Med. Procedures, Tech. Univ. of Munich, Garching, Germany
Abstract :
This paper presents a compressed sensing based reconstruction method for 3D digital breast tomosynthesis (DBT) imaging. Algebraic reconstruction technique (ART) has been in use in DBT imaging by minimizing the isotropic total variation (TV) of the reconstructed image. The resolution in DBT differs in sagittal and axial directions which should be encountered during the TV minimization. In this study we develop a 3D anisotropic TV (ATV) minimization by considering the different resolutions in different directions. A customized 3D Shepp-logan phantom was generated to mimic a real DBT image by considering the overlapping tissue and directional resolution issues. Results of the ART, ART+3D TV and ART+3D ATV are compared using structural similarity (SSIM) diagram.
Keywords :
biological organs; biological tissues; compressed sensing; image reconstruction; image resolution; mammography; medical image processing; minimisation; phantoms; 3D Shepp-logan phantom; 3D anisotropic TV minimization; 3D digital breast tomosynthesis image reconstruction; ART+3D ATV minimization; DBT imaging; SSIM diagram; algebraic reconstruction technique; anisotropic total variation minimization; axial directions; biological tissue; compressed sensing-based reconstruction method; directional image resolution; isotropic total variation; real DBT image; sagittal directions; structural similarity diagram; Biomedical imaging; Image reconstruction; Image resolution; Subspace constraints; TV; Three-dimensional displays;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6945009
