Literature DB >> 15020364

Evaluation of the use of six diagnostic X-ray spectra computer codes.

P Meyer1, E Buffard, L Mertz, C Kennel, A Constantinesco, P Siffert.   

Abstract

A knowledge of photon energy spectra emitted from X-ray tubes in radiology is crucial for many research domains in the medical field. Since spectrometry is difficult because of high photon fluence rates, a convenient solution is to use computational models. This paper describes the use of six computer codes based on semiempirical or empirical models. The use of the codes was assessed, notably by comparing theoretical half value layers and air kerma with measurements on five different X-ray tubes used in a research hospital. It was found that three out of the six computer codes give relative spectra very close to those produced by X-ray units equipped with constant potential generators: the mean difference between measured and modelled half value layer was less than 3% with a standard deviation of 3.6% whatever the tube and the applied voltage. Absolute output is less accurate: for four computer codes, the mean difference between the measured and modelled air kerma was between 18% and 36%, with a standard deviation of 9% whatever the tube (except for the single phase generator) and the applied voltage. One of the codes gives a good output and beam quality for X-ray units equipped with 100% ripple voltage generators. The use of computational codes as described in this paper provides a means of modelling relative diagnostic X-ray spectra, the usefulness of the tube output data depending on the accuracy required by the end user.

Mesh:

Year:  2004        PMID: 15020364     DOI: 10.1259/bjr/32409995

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  8 in total

1.  Experimental and Monte Carlo-simulated spectra of standard mammography-quality beams.

Authors:  M G David; E J Pires; M A Bernal; J G Peixoto; C E Dealmeida
Journal:  Br J Radiol       Date:  2011-10-18       Impact factor: 3.039

2.  Dosimetric assessment of the exposure of radiotherapy patients due to cone-beam CT procedures.

Authors:  Mariana Baptista; Salvatore Di Maria; Sandra Vieira; Joana Santos; Joana Pereira; Miguel Pereira; Pedro Vaz
Journal:  Radiat Environ Biophys       Date:  2018-11-03       Impact factor: 1.925

3.  CT scanner x-ray spectrum estimation from transmission measurements.

Authors:  Xinhui Duan; Jia Wang; Lifeng Yu; Shuai Leng; Cynthia H McCollough
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

4.  Evaluation of X-Ray Beam Quality Based on Measurements and Estimations Using SpekCalc and Ipem78 Models.

Authors:  Suk Chiang Chen; Wei Loong Jong; Ahmad Zaky Harun
Journal:  Malays J Med Sci       Date:  2012-07

5.  A measurement-based generalized source model for Monte Carlo dose simulations of CT scans.

Authors:  Xin Ming; Yuanming Feng; Ransheng Liu; Chengwen Yang; Li Zhou; Hezheng Zhai; Jun Deng
Journal:  Phys Med Biol       Date:  2017-01-12       Impact factor: 3.609

6.  The development, validation and application of a multi-detector CT (MDCT) scanner model for assessing organ doses to the pregnant patient and the fetus using Monte Carlo simulations.

Authors:  J Gu; B Bednarz; P F Caracappa; X G Xu
Journal:  Phys Med Biol       Date:  2009-04-08       Impact factor: 3.609

7.  Semiempirical, parameterized spectrum estimation for x-ray computed tomography.

Authors:  Paul FitzGerald; Stephen Araujo; Mingye Wu; Bruno De Man
Journal:  Med Phys       Date:  2021-03-16       Impact factor: 4.071

8.  Evaluation of radiation dose to organs during kilovoltage cone-beam computed tomography using Monte Carlo simulation.

Authors:  Kihong Son; Seungryong Cho; Jin Sung Kim; Youngyih Han; Sang Gyu Ju; Doo Ho Choi
Journal:  J Appl Clin Med Phys       Date:  2014-03-06       Impact factor: 2.102

  8 in total

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