Patient-based 4D digital breast phantom for perfusion contrast-enhanced breast CT imaging

Medical Physics
Marco CaballoIoannis Sechopoulos

Abstract

The purpose of this study was to develop a realistic patient-based 4D digital breast phantom including time-varying contrast enhancement for simulation of dedicated breast CT perfusion imaging. A 3D static phantom is first created by segmenting a breast CT image from a healthy patient into skin, fibroglandular tissue, adipose tissue, and vasculature. For the creation of abnormal cases, a breast lesion model was developed and can be added to the phantom. After defining the necessary perfusion parameters for each tissue (e.g., arterial input function for vasculature, blood volume and blood flow for the other normal tissues) based on contrast-enhanced dynamic breast MRI data, the corresponding time-enhancement curves are computed for each voxel in the phantom, according to tissue type. These curves are calculated by convolution between the arterial input function and a shifted exponential function. This exponential depends on the perfusion parameters associated with each tissue voxel, and, to incorporate normal biological variability, a uniform random distribution is used to vary the perfusion parameters on a voxel-basis. Finally, a 4D array is produced by sampling the continuous time-enhancement curves at the desired sampling rat...Continue Reading

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Citations

Nov 13, 2018·Physics in Medicine and Biology·Marco CaballoIoannis Sechopoulos
Nov 9, 2019·Physics in Medicine and Biology·Marco CaballoIoannis Sechopoulos

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Methods Mentioned

BETA
imaging techniques
biopsies

Software Mentioned

Matlab

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