Literature DB >> 19556683

Introducing DeBRa: a detailed breast model for radiological studies.

Andy K W Ma1, Spencer Gunn, Dimitra G Darambara.   

Abstract

Currently, x-ray mammography is the method of choice in breast cancer screening programmes. As the mammography technology moves from 2D imaging modalities to 3D, conventional computational phantoms do not have sufficient detail to support the studies of these advanced imaging systems. Studies of these 3D imaging systems call for a realistic and sophisticated computational model of the breast. DeBRa (Detailed Breast model for Radiological studies) is the most advanced, detailed, 3D computational model of the breast developed recently for breast imaging studies. A DeBRa phantom can be constructed to model a compressed breast, as in film/screen, digital mammography and digital breast tomosynthesis studies, or a non-compressed breast as in positron emission mammography and breast CT studies. Both the cranial-caudal and mediolateral oblique views can be modelled. The anatomical details inside the phantom include the lactiferous duct system, the Cooper ligaments and the pectoral muscle. The fibroglandular tissues are also modelled realistically. In addition, abnormalities such as microcalcifications, irregular tumours and spiculated tumours are inserted into the phantom. Existing sophisticated breast models require specialized simulation codes. Unlike its predecessors, DeBRa has elemental compositions and densities incorporated into its voxels including those of the explicitly modelled anatomical structures and the noise-like fibroglandular tissues. The voxel dimensions are specified as needed by any study and the microcalcifications are embedded into the voxels so that the microcalcification sizes are not limited by the voxel dimensions. Therefore, DeBRa works with general-purpose Monte Carlo codes. Furthermore, general-purpose Monte Carlo codes allow different types of imaging modalities and detector characteristics to be simulated with ease. DeBRa is a versatile and multipurpose model specifically designed for both x-ray and gamma-ray imaging studies.

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Year:  2009        PMID: 19556683     DOI: 10.1088/0031-9155/54/14/010

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


  11 in total

1.  Optimized generation of high resolution breast anthropomorphic software phantoms.

Authors:  David D Pokrajac; Andrew D A Maidment; Predrag R Bakic
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  On the orientation of mammographic structure.

Authors:  I Reiser; S Lee; R M Nishikawa
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

3.  A statistically defined anthropomorphic software breast phantom.

Authors:  Beverly A Lau; Ingrid Reiser; Robert M Nishikawa; Predrag R Bakic
Journal:  Med Phys       Date:  2012-06       Impact factor: 4.071

4.  Evaluation of an improved algorithm for producing realistic 3D breast software phantoms: application for mammography.

Authors:  K Bliznakova; S Suryanarayanan; A Karellas; N Pallikarakis
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

5.  Development and characterization of an anthropomorphic breast software phantom based upon region-growing algorithm.

Authors:  Predrag R Bakic; Cuiping Zhang; Andrew D A Maidment
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

6.  Radiation doses in cone-beam breast computed tomography: a Monte Carlo simulation study.

Authors:  Ying Yi; Chao-Jen Lai; Tao Han; Yuncheng Zhong; Youtao Shen; Xinming Liu; Shuaiping Ge; Zhicheng You; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

7.  Generation of a suite of 3D computer-generated breast phantoms from a limited set of human subject data.

Authors:  Christina M L Hsu; Mark L Palmeri; W Paul Segars; Alexander I Veress; James T Dobbins
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

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

Authors:  Nicolas D Prionas; George W Burkett; Sarah E McKenney; Lin Chen; Robin L Stern; John M Boone
Journal:  Phys Med Biol       Date:  2012-06-15       Impact factor: 3.609

9.  Automated modification and fusion of voxel models to construct body phantoms with heterogeneous breast tissue: Application to MRI simulations.

Authors:  Joseph V Rispoli; Steven M Wright; Craig R Malloy; Mary P McDougall
Journal:  J Biomed Graph Comput       Date:  2017-02-26

10.  Validation of a power-law noise model for simulating small-scale breast tissue.

Authors:  I Reiser; A Edwards; R M Nishikawa
Journal:  Phys Med Biol       Date:  2013-08-12       Impact factor: 3.609

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