Literature DB >> 8994164

Comparison of x-ray cross sections for diagnostic and therapeutic medical physics.

J M Boone1, A E Chavez.   

Abstract

The purpose of this technical report is to make available an up-to-date source of attenuation coefficient data to the medical physics community, and to compare these data with other more familiar sources. Data files from Lawrence Livermore National Laboratory (in Livermore, CA) were truncated to match the needs of the medical physics community, and an interpolation routine was written to calculate a continuous set of cross sections spanning energies from 1 keV to 50 MeV. Coefficient data are available for elements Z = 1 through Z = 100. Values for mass attenuation coefficients, mass-energy-transfer coefficients, and mass-energy absorption coefficients are produced by a single computer subroutine. In addition to total interaction cross sections, the cross sections for photoelectric, Rayleigh, Compton, pair, and some triplet interactions are also produced by this single program. The coefficients were compared to the 1970 data of Storm and Israel over the energy interval from 1 to 1000 keV; for elements 10, 20, 30, 40, 50, 60, 70, and 80, the average positive difference between the Storm and Israel coefficients and the coefficients reported here are 1.4%, 2.7%, and 2.6%, for the mass attenuation, mass energy-transfer, and mass-energy absorption coefficients, respectively. The 1969 data compilation of mass attenuation coefficients from McMaster et al. were also compared with the newer LLNL data. Over the energy region from 10 keV to 1000 keV, and from elements Z = 1 to Z = 82 (inclusive), the overall average difference was 1.53% (sigma = 0.85%). While the overall average difference was small, there was larger variation (> 5%) between cross sections for some elements. In addition to coefficient data, other useful data such as the density, atomic weight, K, L1, L2, L3, M, and N edges, and numerous characteristic emission energies are output by the program, depending on a single input variable. The computer source code, written in C, can be accessed and downloaded from the World Wide Web at: http:@www.aip.org/epaps/epaps.html [E-MPHSA-23-1977].

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Year:  1996        PMID: 8994164     DOI: 10.1118/1.597899

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  27 in total

1.  A software-based x-ray scatter correction method for breast tomosynthesis.

Authors:  Steve Si Jia Feng; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  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

3.  Multi-layer imager design for mega-voltage spectral imaging.

Authors:  Marios Myronakis; Yue-Houng Hu; Rony Fueglistaller; Adam Wang; Paul Baturin; Pascal Huber; Daniel Morf; Josh Star-Lack; Ross Berbeco
Journal:  Phys Med Biol       Date:  2018-05-10       Impact factor: 3.609

4.  An automatic correction method for the heel effect in digitized mammography images.

Authors:  Marcelo Zanchetta do Nascimento; Annie France Frère; Fernao Germano
Journal:  J Digit Imaging       Date:  2007-09-11       Impact factor: 4.056

5.  Method for evaluating bow tie filter angle-dependent attenuation in CT: theory and simulation results.

Authors:  John M Boone
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

6.  Experimental validation of a method characterizing bow tie filters in CT scanners using a real-time dose probe.

Authors:  Sarah E McKenney; Anita Nosratieh; Dale Gelskey; Kai Yang; Shin-Ying Huang; Lin Chen; John M Boone
Journal:  Med Phys       Date:  2011-03       Impact factor: 4.071

7.  Simulated lesion, human observer performance comparison between thin-section dedicated breast CT images versus computed thick-section simulated projection images of the breast.

Authors:  L Chen; J M Boone; C K Abbey; J Hargreaves; C Bateni; K K Lindfors; K Yang; A Nosratieh; A Hernandez; P Gazi
Journal:  Phys Med Biol       Date:  2015-03-31       Impact factor: 3.609

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.  Real-time dosimeter employed to evaluate the half-value layer in CT.

Authors:  Sarah E McKenney; J Anthony Seibert; George W Burkett; Dale Gelskey; Paul B Sunde; James D Newman; John M Boone
Journal:  Phys Med Biol       Date:  2013-12-19       Impact factor: 3.609

10.  An X-Ray computed tomography/positron emission tomography system designed specifically for breast imaging.

Authors:  John M Boone; Kai Yang; George W Burkett; Nathan J Packard; Shih-ying Huang; Spencer Bowen; Ramsey D Badawi; Karen K Lindfors
Journal:  Technol Cancer Res Treat       Date:  2010-02
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