Literature DB >> 27610397

Coherent scatter imaging Monte Carlo simulation.

Laila Hassan1, Carolyn A MacDonald1.   

Abstract

Conventional mammography can suffer from poor contrast between healthy and cancerous tissues due to the small difference in attenuation properties. Coherent scatter slot scan imaging is an imaging technique which provides additional information and is compatible with conventional mammography. A Monte Carlo simulation of coherent scatter slot scan imaging was performed to assess its performance and provide system optimization. Coherent scatter could be exploited using a system similar to conventional slot scan mammography system with antiscatter grids tilted at the characteristic angle of cancerous tissues. System optimization was performed across several parameters, including source voltage, tilt angle, grid distances, grid ratio, and shielding geometry. The simulated carcinomas were detectable for tumors as small as 5 mm in diameter, so coherent scatter analysis using a wide-slot setup could be promising as an enhancement for screening mammography. Employing coherent scatter information simultaneously with conventional mammography could yield a conventional high spatial resolution image with additional coherent scatter information.

Entities:  

Keywords:  Monte Carlo simulation; breast cancer; coherent scattering

Year:  2016        PMID: 27610397      PMCID: PMC4999523          DOI: 10.1117/1.JMI.3.3.033504

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  11 in total

1.  X-ray scatter signatures for normal and neoplastic breast tissues.

Authors:  G Kidane; R D Speller; G J Royle; A M Hanby
Journal:  Phys Med Biol       Date:  1999-07       Impact factor: 3.609

2.  X-ray scattering from human breast tissues and breast-equivalent materials.

Authors:  M E Poletti; D Gonçalves; I Mazzaro
Journal:  Phys Med Biol       Date:  2002-01-07       Impact factor: 3.609

3.  Compton scattering spectrum as a source of information of normal and neoplastic breast tissues' composition.

Authors:  M Antoniassi; A L C Conceição; M E Poletti
Journal:  Appl Radiat Isot       Date:  2012-02-18       Impact factor: 1.513

4.  Classification of breast tissue using a laboratory system for small-angle x-ray scattering (SAXS).

Authors:  S Sidhu; G Falzon; S A Hart; J G Fox; R A Lewis; K K W Siu
Journal:  Phys Med Biol       Date:  2011-10-05       Impact factor: 3.609

5.  Measurement of small-angle photon scattering for some breast tissues and tissue substitute materials.

Authors:  S H Evans; D A Bradley; D R Dance; J E Bateman; C H Jones
Journal:  Phys Med Biol       Date:  1991-01       Impact factor: 3.609

6.  The diagnostic capability of x-ray scattering parameters for the characterization of breast cancer.

Authors:  Wael M Elshemey; Omar S Desouky; Mostafa M Fekry; Sahar M Talaat; Anwar A Elsayed
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

7.  A CMOS active pixel sensor system for laboratory- based x-ray diffraction studies of biological tissue.

Authors:  Sarah E Bohndiek; Emily J Cook; Costas D Arvanitis; Alessandro Olivo; Gary J Royle; Andy T Clark; Mark L Prydderch; Renato Turchetta; Robert D Speller
Journal:  Phys Med Biol       Date:  2008-01-10       Impact factor: 3.609

8.  Comparison of slot scanning digital mammography system with full-field digital mammography system.

Authors:  Chao-Jen Lai; Chris C Shaw; William Geiser; Lingyun Chen; Elsa Arribas; Tanya Stephens; Paul L Davis; Geetha P Ayyar; Basak E Dogan; Victoria A Nguyen; Gary J Whitman; Wei T Yang
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

9.  Correlation of energy dispersive diffraction signatures and microCT of small breast tissue samples with pathological analysis.

Authors:  J A Griffiths; G J Royle; A M Hanby; J A Horrocks; S E Bohndiek; R D Speller
Journal:  Phys Med Biol       Date:  2007-10-01       Impact factor: 3.609

10.  Volumetric x-ray coherent scatter imaging of cancer in resected breast tissue: a Monte Carlo study using virtual anthropomorphic phantoms.

Authors:  Manu N Lakshmanan; Brian P Harrawood; Ehsan Samei; Anuj J Kapadia
Journal:  Phys Med Biol       Date:  2015-08-03       Impact factor: 3.609

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  2 in total

1.  Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms.

Authors:  Stefan Stryker; Anuj J Kapadia; Joel A Greenberg
Journal:  Med Phys       Date:  2021-12-01       Impact factor: 4.071

2.  Correlation of X-ray diffraction signatures of breast tissue and their histopathological classification.

Authors:  Robert M Moss; Amany S Amin; Chiaki Crews; Colin A Purdie; Lee B Jordan; Francesco Iacoviello; Andrew Evans; Robert D Speller; Sarah J Vinnicombe
Journal:  Sci Rep       Date:  2017-10-11       Impact factor: 4.379

  2 in total

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