Leision quantification in dual-modality mammography using expectation maximization with attenuation correction

Heng Li, Yibin Zheng, Mitali J. More, Patricia J. Goodale, Mark B. Williams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationMacro to Nano
Pages1392-1395
Number of pages4
StatePublished - Dec 1 2004
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: Apr 15 2004Apr 18 2004

Publication series

Name2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume2

Other

Other2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
CountryUnited States
CityArlington, VA
Period4/15/044/18/04

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Leision quantification in dual-modality mammography using expectation maximization with attenuation correction'. Together they form a unique fingerprint.

  • Cite this

    Li, H., Zheng, Y., More, M. J., Goodale, P. J., & Williams, M. B. (2004). Leision quantification in dual-modality mammography using expectation maximization with attenuation correction. In 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (pp. 1392-1395). (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol. 2).