Optimized generation of high resolution breast anthropomorphic software phantoms

Research output: Contribution to journalArticle

Abstract

Purpose: The authors present an efficient method for generating anthropomorphic software breast phantoms with high spatial resolution. Employing the same region growing principles as in their previous algorithm for breast anatomy simulation, the present method has been optimized for computational complexity to allow for fast generation of the large number of phantoms required in virtual clinical trials of breast imaging. Methods: The new breast anatomy simulation method performs a direct calculation of the Cooper's ligaments (i.e., the borders between simulated adipose compartments). The calculation corresponds to quadratic decision boundaries of a maximum a posteriori classifier. The method is multiscale due to the use of octree-based recursive partitioning of the phantom volume. The method also provides user-control of the thickness of the simulated Cooper's ligaments and skin. Results: Using the proposed method, the authors have generated phantoms with voxel size in the range of (25-1000 μm)3voxel. The power regression of the simulation time as a function of the reciprocal voxel size yielded a log-log slope of 1.95 (compared to a slope of 4.53 of our previous region growing algorithm). Conclusions: A new algorithm for computer simulation of breast anatomy has been proposed that allows for fast generation of high resolution anthropomorphic software phantoms.

Details

Authors
External organisations
  • Delaware State University
  • University of Pennsylvania
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Medical Image Processing

Keywords

  • modeling, simulation of clinical breast imaging, validation, visualization
Original languageEnglish
Pages (from-to)2290-2302
Number of pages13
JournalMedical Physics
Volume39
Issue number4
Publication statusPublished - 2012 Apr
Publication categoryResearch
Peer-reviewedYes
Externally publishedYes