Spatial distribution of adipose compartments size, shape and orientation in a CT breast image of a mastectomy specimen

Abdullah Al Zubaer Imran, Predrag R. Bakic, David D. Pokrajac

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Development of efficient clinical breast imaging system has become a major concern in medical imaging today. Recent advancement in 3D imaging has allowed detailed analysis of breast anatomic structures. To assist with preclinical validation of breast imaging systems, high resolution anthropomorphic software phantoms have been introduced [1]. The phantoms developed at the University of Pennsylvania and Delaware State University simulate the breast outline covered by a skin layer, and the breast interior matrix of Cooper's ligaments which define compartments filled with adipose or fibro-glandular (dense) tissue. The simulation algorithms require input parameters such as number of compartments, distribution, and size and shape of adipose compartments. To obtain more realistic phantoms, these simulation parameters should be inferred from clinical images. In this study, we have investigated the distribution and spatial placement of adipose compartments in reconstructed CT images of a mastectomy specimen.

Original languageEnglish
Title of host publication2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings
ISBN (Electronic)9781509013500
DOIs
StatePublished - Feb 11 2016
EventIEEE Signal Processing in Medicine and Biology Symposium - Philadelphia, United States
Duration: Dec 12 2015 → …

Publication series

Name2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings

Conference

ConferenceIEEE Signal Processing in Medicine and Biology Symposium
Country/TerritoryUnited States
CityPhiladelphia
Period12/12/15 → …

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

  • Biomedical Engineering
  • Signal Processing
  • Radiology Nuclear Medicine and imaging
  • Health Informatics

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