Characterization of adipose compartments in mastectomy CT images

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

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

1 Scopus citations


Anthropomorphic software breast phantoms are generated by simulating breast anatomy. Virtual Clinical Trial (VCT) tools are developed for evaluating novel imaging modalities, based on anthropomorphic breast phantoms. Simulation of breast anatomical structures requires informed selection of parameters, which is crucial for the simulation realism. Our goal is to optimize the parameter selection based upon the analysis of clinical images. Adipose compartments defined by Cooper's ligaments significantly contribute to breast image texture (parenchymal pattern) which affects image interpretation and lesion detection. We have investigated the distribution and orientation of compartments segmented from CT images of a mastectomy specimen. Ellipsoidal fitting was applied to 205 segmented compartments, by matching the moments of inertia. The goodness-of-fit was measured by calculating Dice coefficients. Compartment size, shape, and orientation were characterized by estimating the volume, axis ratio, and Euler's angles of fitted ellipsoids. Potential correlations between estimated parameters were tested. We found that the adipose compartments are well approximated with ellipsoids (average Dice coefficient of 0.79). The compartment size is correlated with the barycenter-chest wall distance (r=0.235, p-value<0.001). The goodness-of-fit to ellipsoids is correlated to the compartment shape (r=0.344, p-value<0.001). The shape is also correlated with barycenter coordinates. The compartment orientation is correlated to their size (Euler angle α: r=0.188, p-value=0.007; angle β: r=0.156, p-value=0.025) and the barycenter-chest wall distance (r=0.159, p-value=0.023). These results from the characterization of adipose compartments and the observed correlations could help improve the realism of simulated breast anatomy.

Original languageEnglish
Title of host publicationMedical Imaging 2018
Subtitle of host publicationPhysics of Medical Imaging
EditorsTaly Gilat Schmidt, Guang-Hong Chen, Joseph Y. Lo
ISBN (Electronic)9781510616356
StatePublished - 2018
EventMedical Imaging 2018: Physics of Medical Imaging - Houston, United States
Duration: Feb 12 2018Feb 15 2018

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2018: Physics of Medical Imaging
Country/TerritoryUnited States

Bibliographical note

Funding Information:
This research was supported by a grant from the National Institute of General Medical Sciences (P20 GM103446) from the National Institutes of Health. Also, the work was supported in part by the US Department of Defense Breast Cancer Research Program (HBCU Partnership Training Award #BC083639), the US National Science Foundation (CREST grant #HRD-1242067), the US Department of Defense/Department of Army (Award #W911NF-11-2-0046), the US National Institutes of Health (R01 grant #CA154444), and the Komen Foundation (grant #IIR13262248). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, DoD, and Komen Foundation. The first author performed the presented work as a graduate student at Delaware State University.

Publisher Copyright:
© 2018 SPIE.


  • adipose compartments
  • Anthropomorphic breast phantom
  • breast cancer imaging
  • ellipsoidal fitting
  • mastectomy specimen images
  • Virtual Clinical Trials

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging


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