Title :
Lesion quantification in dual-modality mammography using expectation maximization with attenuation correction
Author :
Li, Heng ; Zheng, Yibin ; More, Mitali J. ; Goodale, Patricia J. ; Williams, Mark B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
Conventional X-ray/scintillation mammography does not provide the depth information necessary to quantify the location and concentration of lesion activities in breast tissue. Our group is developing a novel tomographic dual modality system that will provide 3D structural and functional information of the breast. Because of constraints on the gantry geometry and acquisition time, only a limited number of views on one side of the breast can be acquired. In addition, the scatter and attenuation of gamma rays by breast tissue is a major problem for the reconstruction. We present an expectation-maximization (EM) method which naturally takes into account all the factors of noise, limited views, scatter, and attenuation. In a preliminary phantom study our quantification technique obtained results agreeing well with the ground truth.
Keywords :
cancer; gamma-ray scattering; image reconstruction; mammography; medical image processing; phantoms; statistical analysis; tumours; 3D structural information; EM; X-ray mammography; attenuation correction; breast tissue; expectation maximization; gamma ray; gantry geometry; lesion quantification; phantom study; scintillation mammography; three dimensional functional information; tomographic dual modality system; Attenuation; Breast tissue; Gamma ray detectors; Image reconstruction; Image resolution; Lesions; Mammography; Statistics; X-ray imaging; X-ray scattering;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
DOI :
10.1109/ISBI.2004.1398807