Literature DB >> 22705748

Development of a patient-specific two-compartment anthropomorphic breast phantom.

Nicolas D Prionas1, George W Burkett, Sarah E McKenney, Lin Chen, Robin L Stern, John M Boone.   

Abstract

The purpose of this paper is to develop a technique for the construction of a two-compartment anthropomorphic breast phantom specific to an individual patient's pendant breast anatomy. Three-dimensional breast images were acquired on a prototype dedicated breast computed tomography (bCT) scanner as part of an ongoing IRB-approved clinical trial of bCT. The images from the breast of a patient were segmented into adipose and glandular tissue regions and divided into 1.59 mm thick breast sections to correspond to the thickness of polyethylene stock. A computer-controlled water-jet cutting machine was used to cut the outer breast edge and the internal regions corresponding to glandular tissue from the polyethylene. The stack of polyethylene breast segments was encased in a thermoplastic 'skin' and filled with water. Water-filled spaces modeled glandular tissue structures and the surrounding polyethylene modeled the adipose tissue compartment. Utility of the phantom was demonstrated by inserting 200 µm microcalcifications as well as by measuring point dose deposition during bCT scanning. Affine registration of the original patient images with bCT images of the phantom showed similar tissue distribution. Linear profiles through the registered images demonstrated a mean coefficient of determination (r(2)) between grayscale profiles of 0.881. The exponent of the power law describing the anatomical noise power spectrum was identical in the coronal images of the patient's breast and the phantom. Microcalcifications were visualized in the phantom at bCT scanning. The real-time air kerma rate was measured during bCT scanning and fluctuated with breast anatomy. On average, point dose deposition was 7.1% greater than the mean glandular dose. A technique to generate a two-compartment anthropomorphic breast phantom from bCT images has been demonstrated. The phantom is the first, to our knowledge, to accurately model the uncompressed pendant breast and the glandular tissue distribution for a specific patient. The modular design of the phantom allows for studies of a single breast segment and the entire breast volume. Insertion of other devices, materials and tissues of interest into the phantom provide a robust platform for future breast imaging and dosimetry studies.

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Year:  2012        PMID: 22705748      PMCID: PMC3404613          DOI: 10.1088/0031-9155/57/13/4293

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  24 in total

1.  Visibility of microcalcification in cone beam breast CT: effects of X-ray tube voltage and radiation dose.

Authors:  Chao-Jen Lai; Chris C Shaw; Lingyun Chen; Mustafa C Altunbas; Xinming Liu; Tao Han; Tianpeng Wang; Wei T Yang; Gary J Whitman; Shu-Ju Tu
Journal:  Med Phys       Date:  2007-07       Impact factor: 4.071

2.  Noise power properties of a cone-beam CT system for breast cancer detection.

Authors:  Kai Yang; Alexander L C Kwan; Shih-Ying Huang; Nathan J Packard; John M Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

3.  The effect of skin thickness determined using breast CT on mammographic dosimetry.

Authors:  Shih-Ying Huang; John M Boone; Kai Yang; Alexander L C Kwan; Nathan J Packard
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

4.  Development of an anthropomorphic breast phantom.

Authors:  C B Caldwell; M J Yaffe
Journal:  Med Phys       Date:  1990 Mar-Apr       Impact factor: 4.071

5.  Anatomical complexity in breast parenchyma and its implications for optimal breast imaging strategies.

Authors:  Lin Chen; Craig K Abbey; Anita Nosratieh; Karen K Lindfors; John M Boone
Journal:  Med Phys       Date:  2012-03       Impact factor: 4.071

6.  Absorbed radiation dose in mammography.

Authors:  G R Hammerstein; D W Miller; D R White; M E Masterson; H Q Woodard; J S Laughlin
Journal:  Radiology       Date:  1979-02       Impact factor: 11.105

7.  Human observer detection experiments with mammograms and power-law noise.

Authors:  A E Burgess; F L Jacobson; P F Judy
Journal:  Med Phys       Date:  2001-04       Impact factor: 4.071

8.  Role of detection method in predicting breast cancer survival: analysis of randomized screening trials.

Authors:  Yu Shen; Ying Yang; Lurdes Y T Inoue; Mark F Munsell; Anthony B Miller; Donald A Berry
Journal:  J Natl Cancer Inst       Date:  2005-08-17       Impact factor: 13.506

9.  Characterizing anatomical variability in breast CT images.

Authors:  Kathrine G Metheany; Craig K Abbey; Nathan Packard; John M Boone
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

10.  Dedicated breast CT: initial clinical experience.

Authors:  Karen K Lindfors; John M Boone; Thomas R Nelson; Kai Yang; Alexander L C Kwan; DeWitt F Miller
Journal:  Radiology       Date:  2008-01-14       Impact factor: 11.105

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  2 in total

1.  Monte Carlo study of the effects of system geometry and antiscatter grids on cone-beam CT scatter distributions.

Authors:  A Sisniega; W Zbijewski; A Badal; I S Kyprianou; J W Stayman; J J Vaquero; J H Siewerdsen
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

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

Authors:  Marco Caballo; Ritse Mann; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2018-09-19       Impact factor: 4.071

  2 in total

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