Literature DB >> 15933147

A high-resolution voxel phantom of the breast for dose calculations in mammography.

Christoph Hoeschen1, Ute Fill, Maria Zankl, Werner Panzer, Dieter Regulla, Wilfried Döhring.   

Abstract

Though mammography is one of the most sensitive methods to detect breast cancer, the benefit of the mammography screening programmes is still not clearly proven. One of the reasons is the radiation dose delivered by the examinations. Simulations of the radiation transport based on realistic breast phantoms are a useful tool to estimate the dose for the risk relevant parenchymal tissue. Specimens of real breasts have been fixated using a specially designed process while being compressed as in mammography. They have been scanned using the high-resolution mode of a CT. A segmentation has been carried out by assigning the voxels to different tissues. The resulting voxel phantom allows the assessment of tissue doses by Monte-Carlo calculations and can be used to simulate the diagnostic outcome of different imaging procedures. Three different tissues were separated: skin, adipose and 'breast tissue'. This allows reasonable calculations of the average glandular doses in mammography.

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Year:  2005        PMID: 15933147     DOI: 10.1093/rpd/nch558

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  13 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.  Three dimensional dose distribution comparison of simple and complex acquisition trajectories in dedicated breast CT.

Authors:  Jainil P Shah; Steve D Mann; Randolph L McKinley; Martin P Tornai
Journal:  Med Phys       Date:  2015-08       Impact factor: 4.071

3.  Population of 224 realistic human subject-based computational breast phantoms.

Authors:  David W Erickson; Jered R Wells; Gregory M Sturgeon; Ehsan Samei; James T Dobbins; W Paul Segars; Joseph Y Lo
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

4.  Classification of breast computed tomography data.

Authors:  Thomas R Nelson; Laura I Cerviño; John M Boone; Karen K Lindfors
Journal:  Med Phys       Date:  2008-03       Impact factor: 4.071

5.  Methodology for generating a 3D computerized breast phantom from empirical data.

Authors:  Christina M Li; W Paul Segars; Georgia D Tourassi; John M Boone; James T Dobbins
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

6.  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

Review 7.  Task-based measures of image quality and their relation to radiation dose and patient risk.

Authors:  Harrison H Barrett; Kyle J Myers; Christoph Hoeschen; Matthew A Kupinski; Mark P Little
Journal:  Phys Med Biol       Date:  2015-01-07       Impact factor: 3.609

8.  Anthropomorphic dual-lattice voxel models for optimizing image quality and dose.

Authors:  Nina Petoussi-Henss; Helmut Schlattl; Janine Becker; Matthias Greiter; Maria Zankl; Christoph Hoeschen
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-30

9.  Generation of voxelized breast phantoms from surgical mastectomy specimens.

Authors:  J Michael O'Connor; Mini Das; Clay S Dider; Mufeed Mahd; Stephen J Glick
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

10.  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

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