Literature DB >> 16953039

Dual-energy mammography: simulation studies.

K Bliznakova1, Z Kolitsi, N Pallikarakis.   

Abstract

This paper presents a mammography simulator and demonstrates its applicability in feasibility studies in dual-energy (DE) subtraction mammography. This mammography simulator is an evolution of a previously presented x-ray imaging simulation system, which has been extended with new functionalities that are specific for DE simulations. The new features include incident exposure and dose calculations, the implementation of a DE subtraction algorithm as well as amendments to the detector and source modelling. The system was then verified by simulating experiments and comparing their results against published data. The simulator was used to carry out a feasibility study of the applicability of DE techniques in mammography, and more precisely to examine whether this modality could result in better visualization and detection of microcalcifications. Investigations were carried out using a 3D breast software phantom of average thickness, monoenergetic and polyenergetic beam spectra and various detector configurations. Dual-shot techniques were simulated. Results showed the advantage of using monoenergetic in comparison with polyenergetic beams. Optimization studies with monochromatic sources were carried out to obtain the optimal low and high incident energies, based on the assessment of the figure of merit of the simulated microcalcifications in the subtracted images. The results of the simulation study with the optimal energies demonstrated that the use of the DE technique can improve visualization and increase detectability, allowing identification of microcalcifications of sizes as small as 200 microm. The quantitative results are also verified by means of a visual inspection of the synthetic images.

Mesh:

Year:  2006        PMID: 16953039     DOI: 10.1088/0031-9155/51/18/004

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


  12 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.  A novel simulation algorithm for soft tissue compression.

Authors:  Christos Zyganitidis; Kristina Bliznakova; Nicolas Pallikarakis
Journal:  Med Biol Eng Comput       Date:  2007-06-06       Impact factor: 2.602

3.  Quantification of breast density with dual energy mammography: a simulation study.

Authors:  Justin L Ducote; Sabee Molloi
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  Quantification of breast density with dual energy mammography: an experimental feasibility study.

Authors:  Justin L Ducote; Sabee Molloi
Journal:  Med Phys       Date:  2010-02       Impact factor: 4.071

5.  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

6.  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

7.  Exploring silver as a contrast agent for contrast-enhanced dual-energy X-ray breast imaging.

Authors:  R Karunamuni; A Tsourkas; A D A Maidment
Journal:  Br J Radiol       Date:  2014-07-07       Impact factor: 3.039

8.  Radiation dose reduction using a CdZnTe-based computed tomography system: comparison to flat-panel detectors.

Authors:  Q Le Huy; Justin L Ducote; Sabee Molloi
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

9.  The impact of calibration phantom errors on dual-energy digital mammography.

Authors:  Xuanqin Mou; Xi Chen; Lijun Sun; Hengyong Yu; Zhen Ji; Lei Zhang
Journal:  Phys Med Biol       Date:  2008-10-20       Impact factor: 3.609

10.  Technical Note: spektr 3.0-A computational tool for x-ray spectrum modeling and analysis.

Authors:  J Punnoose; J Xu; A Sisniega; W Zbijewski; J H Siewerdsen
Journal:  Med Phys       Date:  2016-08       Impact factor: 4.071

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.