Literature DB >> 24694786

A stoichiometric calibration method for dual energy computed tomography.

Alexandra E Bourque1, Jean-François Carrier, Hugo Bouchard.   

Abstract

The accuracy of radiotherapy dose calculation relies crucially on patient composition data. The computed tomography (CT) calibration methods based on the stoichiometric calibration of Schneider et al (1996 Phys. Med. Biol. 41 111-24) are the most reliable to determine electron density (ED) with commercial single energy CT scanners. Along with the recent developments in dual energy CT (DECT) commercial scanners, several methods were published to determine ED and the effective atomic number (EAN) for polyenergetic beams without the need for CT calibration curves. This paper intends to show that with a rigorous definition of the EAN, the stoichiometric calibration method can be successfully adapted to DECT with significant accuracy improvements with respect to the literature without the need for spectrum measurements or empirical beam hardening corrections. Using a theoretical framework of ICRP human tissue compositions and the XCOM photon cross sections database, the revised stoichiometric calibration method yields Hounsfield unit (HU) predictions within less than ±1.3 HU of the theoretical HU calculated from XCOM data averaged over the spectra used (e.g., 80 kVp, 100 kVp, 140 kVp and 140/Sn kVp). A fit of mean excitation energy (I-value) data as a function of EAN is provided in order to determine the ion stopping power of human tissues from ED-EAN measurements. Analysis of the calibration phantom measurements with the Siemens SOMATOM Definition Flash dual source CT scanner shows that the present formalism yields mean absolute errors of (0.3 ± 0.4)% and (1.6 ± 2.0)% on ED and EAN, respectively. For ion therapy, the mean absolute errors for calibrated I-values and proton stopping powers (216 MeV) are (4.1 ± 2.7)% and (0.5 ± 0.4)%, respectively. In all clinical situations studied, the uncertainties in ion ranges in water for therapeutic energies are found to be less than 1.3 mm, 0.7 mm and 0.5 mm for protons, helium and carbon ions respectively, using a generic reconstruction algorithm (filtered back projection). With a more advanced method (sinogram affirmed iterative technique), the values become 1.0 mm, 0.5 mm and 0.4 mm for protons, helium and carbon ions, respectively. These results allow one to conclude that the present adaptation of the stoichiometric calibration yields a highly accurate method for characterizing tissue with DECT for ion beam therapy and potentially for photon beam therapy.

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Year:  2014        PMID: 24694786     DOI: 10.1088/0031-9155/59/8/2059

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


  21 in total

1.  A linear, separable two-parameter model for dual energy CT imaging of proton stopping power computation.

Authors:  Dong Han; Jeffrey V Siebers; Jeffrey F Williamson
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

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

Review 3.  Image guidance in proton therapy for lung cancer.

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

4.  Systematic analysis of the impact of imaging noise on dual-energy CT-based proton stopping power ratio estimation.

Authors:  Hugh H C Lee; Bin Li; Xinhui Duan; Linghong Zhou; Xun Jia; Ming Yang
Journal:  Med Phys       Date:  2019-04-01       Impact factor: 4.071

Review 5.  Status and innovations in pre-treatment CT imaging for proton therapy.

Authors:  Patrick Wohlfahrt; Christian Richter
Journal:  Br J Radiol       Date:  2019-11-11       Impact factor: 3.039

6.  Phy-X/ZeXTRa: a software for robust calculation of effective atomic numbers for photon, electron, proton, alpha particle, and carbon ion interactions.

Authors:  Ö F Özpolat; B Alım; E Şakar; M Büyükyıldız; M Kurudirek
Journal:  Radiat Environ Biophys       Date:  2020-01-20       Impact factor: 1.925

7.  Technical Note: On the accuracy of parametric two-parameter photon cross-section models in dual-energy CT applications.

Authors:  Dong Han; Mariela A Porras-Chaverri; Joseph A O'Sullivan; David G Politte; Jeffrey F Williamson
Journal:  Med Phys       Date:  2017-04-25       Impact factor: 4.071

8.  A proton imaging system using a volumetric liquid scintillator: a preliminary study.

Authors:  Chinmay D Darne; Fahed Alsanea; Daniel G Robertson; Fada Guan; Tinsu Pan; David Grosshans; Sam Beddar
Journal:  Biomed Phys Eng Express       Date:  2019-07-12

9.  Comprehensive analysis of proton range uncertainties related to stopping-power-ratio estimation using dual-energy CT imaging.

Authors:  B Li; H C Lee; X Duan; C Shen; L Zhou; X Jia; M Yang
Journal:  Phys Med Biol       Date:  2017-08-09       Impact factor: 3.609

10.  Feasibility of using post-contrast dual-energy CT for pediatric radiation treatment planning and dose calculation.

Authors:  Ozgur Ates; Chia-Ho Hua; Li Zhao; Nadav Shapira; Yoad Yagil; Thomas E Merchant; Matthew Krasin
Journal:  Br J Radiol       Date:  2020-11-19       Impact factor: 3.039

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