Literature DB >> 934469

X-ray energies for effective atomic number determination.

R A Rutherford, B R Pullan, I Isherwood.   

Abstract

The measurement of the effective atomic number of a piece of material in vivo can be achieved using computed tomography. The precision of measurement of this parameter depends on the precision of measurement of the X-ray absorption coefficient at two energies and the separation of these energies. With the assumption of a fixed photon flux, it is shown that two optimum energies exist for the measurement of effective atomic number. The analysis indicates that if energies of 40 keV and 80 keV are employed, a precision of at least 1 part in 400 in the measurement of effective atomic number may be achieved.

Mesh:

Year:  1976        PMID: 934469     DOI: 10.1007/bf00327254

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  4 in total

1.  Measurement of effective atomic number and electron density using an EMI scanner.

Authors:  R A Rutherford; B R Pullan; I Isherwood
Journal:  Neuroradiology       Date:  1976       Impact factor: 2.804

2.  The reconstruction of a three-dimensional structure from projections and its application to electron microscopy. II. Direct methods.

Authors:  P F Gilbert
Journal:  Proc R Soc Lond B Biol Sci       Date:  1972-07-25

3.  Production of monoenergetic x-rays from 8 to 87 keV.

Authors:  E J Hoffman; M E Phelps
Journal:  Phys Med Biol       Date:  1974-01       Impact factor: 3.609

4.  Three-dimensional reconstruction from radiographs and electron micrographs: application of convolutions instead of Fourier transforms.

Authors:  G N Ramachandran; A V Lakshminarayanan
Journal:  Proc Natl Acad Sci U S A       Date:  1971-09       Impact factor: 11.205

  4 in total
  12 in total

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Authors:  Y Cui; S-Y Gao; Z-L Wang; X-T Li; Y-S Sun; L Tang; X-P Zhang
Journal:  Br J Radiol       Date:  2012-06-20       Impact factor: 3.039

2.  Material elemental decomposition in dual and multi-energy CT via a sparsity-dictionary approach for proton stopping power ratio calculation.

Authors:  Chenyang Shen; Bin Li; Liyuan Chen; Ming Yang; Yifei Lou; Xun Jia
Journal:  Med Phys       Date:  2018-02-23       Impact factor: 4.071

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Authors:  Miao Zhang; Wei Zou; Boon-Keng Kevin Teo
Journal:  Transl Lung Cancer Res       Date:  2018-04

4.  Statistical image-domain multimaterial decomposition for dual-energy CT.

Authors:  Yi Xue; Ruoshui Ruan; Xiuhua Hu; Yu Kuang; Jing Wang; Yong Long; Tianye Niu
Journal:  Med Phys       Date:  2017-02-21       Impact factor: 4.071

5.  Dual kilovoltage at computed tomography: a prereconstruction method for estimation of effective atomic number and electron density.

Authors:  W H Marshall; R Alvarez; A Macovski; J Healy; L M Zatz
Journal:  Neuroradiology       Date:  1978       Impact factor: 2.804

Review 6.  Dual energy CT applications in pancreatic pathologies.

Authors:  Elizabeth George; Jeremy R Wortman; Urvi P Fulwadhva; Jennifer W Uyeda; Aaron D Sodickson
Journal:  Br J Radiol       Date:  2017-09-22       Impact factor: 3.039

7.  Locally linear constraint based optimization model for material decomposition.

Authors:  Qian Wang; Yining Zhu; Hengyong Yu
Journal:  Phys Med Biol       Date:  2017-10-19       Impact factor: 3.609

8.  Spectral Properties of Abdominal Tissues on Dual-energy Computed Tomography and the Effects of Contrast Agent.

Authors:  Diana A Kreul; Rahel A Kubik-Huch; John Froehlich; Michael J Thali; Tilo Niemann
Journal:  In Vivo       Date:  2021 Nov-Dec       Impact factor: 2.155

9.  Prognostic impact of average iodine density assessed by dual-energy spectral imaging for predicting lung tumor recurrence after stereotactic body radiotherapy.

Authors:  Masahiko Aoki; Katsumi Hirose; Mariko Sato; Hiroyoshi Akimoto; Hideo Kawaguchi; Yoshiomi Hatayama; Ichitaro Fujioka; Mitsuki Tanaka; Shuichi Ono; Yoshihiro Takai
Journal:  J Radiat Res       Date:  2016-01-28       Impact factor: 2.724

10.  Gemstone spectral imaging: determination of CT to ED conversion curves for radiotherapy treatment planning.

Authors:  Masashi Yagi; Takashi Ueguchi; Masahiko Koizumi; Toshiyuki Ogata; Sachiko Yamada; Yutaka Takahashi; Iori Sumida; Yuichi Akino; Koji Konishi; Fumiaki Isohashi; Noriyuki Tomiyama; Yasuo Yoshioka; Kazuhiko Ogawa
Journal:  J Appl Clin Med Phys       Date:  2013-09-06       Impact factor: 2.102

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