Volume 39, Issue 4 p. 2290-2302

Radiation imaging physics

Optimized generation of high resolution breast anthropomorphic software phantoms

David D. Pokrajac,

David D. Pokrajac

Computer and Information Sciences Department, Delaware State University, Dover, Delaware 19901

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Andrew D. A. Maidment,

Andrew D. A. Maidment

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104

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Predrag R. Bakic,

Predrag R. Bakic

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104

Author to whom correspondence should be addressed. Electronic mail: [email protected]. Telephone: (215) 746 8758; Fax: (215) 746 8764.

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David D. Pokrajac,

David D. Pokrajac

Computer and Information Sciences Department, Delaware State University, Dover, Delaware 19901

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Andrew D. A. Maidment,

Andrew D. A. Maidment

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104

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Predrag R. Bakic,

Predrag R. Bakic

Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104

Author to whom correspondence should be addressed. Electronic mail: [email protected]. Telephone: (215) 746 8758; Fax: (215) 746 8764.

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First published: 03 April 2012

https://doi.org/10.1118/1.3697523

Citations: 83

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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 maximuma 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)³/voxel. 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.

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Volume39, Issue4

April 2012

Pages 2290-2302

Optimized generation of high resolution breast anthropomorphic software phantoms

Abstract

Purpose:

Methods:

Results:

Conclusions:

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References

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Optimized generation of high resolution breast anthropomorphic software phantoms

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