Literature DB >> 15933137

Breast dosimetry using high-resolution voxel phantoms.

D R Dance1, R A Hunt, P R Bakic, A D A Maidment, M Sandborg, G Ullman, G Alm Carlsson.   

Abstract

A computer model of X-ray mammography has been developed, which uses quasi-realistic high-resolution voxel phantoms to simulate the breast. The phantoms have 400 microm voxels and simulate the three-dimensional distributions of adipose and fibro-glandular tissues, Cooper's ligaments, ducts and skin and allow the estimation of dose to individual tissues. Calculations of the incident air kerma to mean glandular dose conversion factor, g, were made using a Mo/Mo spectrum at 28 kV for eight phantoms in the thickness range 40-80 mm and of varying glandularity. The values differed from standard tabulations used for breast dosimetry by up to 43%, because of the different spatial distribution of glandular tissue within the breast. To study this further, additional voxel phantoms were constructed, which gave variations of between 9 and 59% compared with standard values. For accurate breast dosimetry, it is therefore very important to take the distribution of glandular tissues into account.

Mesh:

Year:  2005        PMID: 15933137     DOI: 10.1093/rpd/nch510

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


  18 in total

1.  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

2.  Breast dose in mammography is about 30% lower when realistic heterogeneous glandular distributions are considered.

Authors:  Andrew M Hernandez; J Anthony Seibert; John M Boone
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

3.  Radiation doses received in the United Kingdom breast screening programme in 2010 to 2012.

Authors:  Kenneth C Young; Jennifer M Oduko
Journal:  Br J Radiol       Date:  2015-12-14       Impact factor: 3.039

4.  Characterization of the homogeneous tissue mixture approximation in breast imaging dosimetry.

Authors:  Ioannis Sechopoulos; Kristina Bliznakova; Xulei Qin; Baowei Fei; Steve Si Jia Feng
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

5.  Evaluation of the absorbed dose to the breast using radiochromic film in a dedicated CT mammotomography system employing a quasi-monochromatic x-ray beam.

Authors:  Dominic J Crotty; Samuel L Brady; D'Vone C Jackson; Greta I Toncheva; Colin E Anderson; Terry T Yoshizumi; Martin P Tornai
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.  Objective models of compressed breast shapes undergoing mammography.

Authors:  Steve Si Jia Feng; Bhavika Patel; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

8.  Integrating mammographic breast density in glandular dose calculation.

Authors:  Moayyad E Suleiman; Patrick C Brennan; Ernest Ekpo; Peter Kench; Mark F McEntee
Journal:  Br J Radiol       Date:  2018-02-13       Impact factor: 3.039

9.  Development of 3D patient-based super-resolution digital breast phantoms using machine learning.

Authors:  Marco Caballo; Christian Fedon; Luca Brombal; Ritse Mann; Renata Longo; Ioannis Sechopoulos
Journal:  Phys Med Biol       Date:  2018-11-12       Impact factor: 3.609

10.  Dosimetry in x-ray-based breast imaging.

Authors:  David R Dance; Ioannis Sechopoulos
Journal:  Phys Med Biol       Date:  2016-09-12       Impact factor: 3.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.