Literature DB >> 15933144

Calculation of the properties of digital mammograms using a computer simulation.

R A Hunt1, D R Dance, P R Bakic, A D A Maidment, M Sandborg, G Ullman, G Alm Carlsson.   

Abstract

A Monte Carlo computer model of mammography has been developed to study and optimise the performance of digital mammographic systems. The program uses high-resolution voxel phantoms to model the breast, which simulate the adipose and fibroglandular tissues, Cooper's ligaments, ducts and skin in three dimensions. The model calculates the dose to each tissue, and also the quantities such as energy imparted to image pixels, noise per image pixel and scatter-to-primary (S/P) ratios. It allows studies of the dependence of image properties on breast structure and on position within the image. The program has been calibrated by calculating and measuring the pixel values and noise for a digital mammographic system. The thicknesses of two components of this system were unknown, and were adjusted to obtain a good agreement between measurement and calculation. The utility of the program is demonstrated with the calculations of the variation of the S/P ratio with and without a grid, and of the image contrast across the image of a 50-mm-thick breast phantom.

Mesh:

Year:  2005        PMID: 15933144     DOI: 10.1093/rpd/nch519

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


  6 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.  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

3.  Modeling, validation and application of a mathematical tissue-equivalent breast phantom for linear slot-scanning digital mammography.

Authors:  K Hussein; C L Vaughan; T S Douglas
Journal:  Phys Med Biol       Date:  2009-02-19       Impact factor: 3.609

Review 4.  Virtual clinical trials in medical imaging: a review.

Authors:  Ehsan Abadi; William P Segars; Benjamin M W Tsui; Paul E Kinahan; Nick Bottenus; Alejandro F Frangi; Andrew Maidment; Joseph Lo; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-11

5.  Virtual Clinical Trials in 2D and 3D X-ray Breast Imaging and Dosimetry: Comparison of CPU-Based and GPU-Based Monte Carlo Codes.

Authors:  Giovanni Mettivier; Antonio Sarno; Youfang Lai; Bruno Golosio; Viviana Fanti; Maria Elena Italiano; Xun Jia; Paolo Russo
Journal:  Cancers (Basel)       Date:  2022-02-17       Impact factor: 6.639

6.  VIRTUAL CLINICAL TRIALS IN MEDICAL IMAGING SYSTEM EVALUATION AND OPTIMISATION.

Authors:  Bruno Barufaldi; Andrew D A Maidment; Magnus Dustler; Rebecca Axelsson; Hanna Tomic; Sophia Zackrisson; Anders Tingberg; Predrag R Bakic
Journal:  Radiat Prot Dosimetry       Date:  2021-10-12       Impact factor: 0.972

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.