Literature DB >> 18561669

Improving accuracy of electron density measurement in the presence of metallic implants using orthovoltage computed tomography.

Ming Yang1, Gary Virshup, Radhe Mohan, Chris C Shaw, X Ronald Zhu, Lei Dong.   

Abstract

The goal of this study was to evaluate the improvement in electron density measurement and metal artifact reduction using orthovoltage computed tomography (OVCT) imaging compared with conventional kilovoltage CT (KVCT). For this study, a bench-top system was constructed with adjustable x-ray tube voltage up to 320 kVp. A commercial tissue-characterization phantom loaded with inserts of various human tissue substitutes was imaged using 125 kVp (KVCT) and 320 kVp (OVCT) x rays. Stoichiometric calibration was performed for both KVCT and OVCT imaging using the Schneider method. The metal inserts-titanium rods and aluminum rods-were used to study the impact of metal artifacts on the electron-density measurements both inside and outside the metal inserts. It was found that the relationships between Hounsfield units and relative electron densities (to water) were more predictable for OVCT than KVCT. Unlike KVCT, the stoichiometric calibration for OVCT was insensitive to the use of tissue substitutes for direct electron density calibration. OVCT was found to significantly reduce metal streak artifacts. Errors in electron-density measurements within uniform tissue substitutes were reduced from 42% (maximum) and 18% (root-mean-square) in KVCT to 12% and 2% in OVCT, respectively. Improvements were also observed inside the metal implants. For the detectors optimized for KVCT, the imaging dose is almost doubled for OVCT for the image quality comparable to KVCT. OVCT may be a good option for high-precision radiotherapy treatment planning, especially for patients with metal implants and especially for charged particle therapy, such as proton therapy.

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Year:  2008        PMID: 18561669     DOI: 10.1118/1.2905030

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


  4 in total

1.  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

2.  Does kV-MV dual-energy computed tomography have an advantage in determining proton stopping power ratios in patients?

Authors:  M Yang; G Virshup; J Clayton; X R Zhu; R Mohan; L Dong
Journal:  Phys Med Biol       Date:  2011-06-30       Impact factor: 3.609

3.  Improved accuracy of relative electron density and proton stopping power ratio through CycleGAN machine learning.

Authors:  Jessica Scholey; Luciano Vinas; Vasant Kearney; Sue Yom; Peder Eric Zufall Larson; Martina Descovich; Atchar Sudhyadhom
Journal:  Phys Med Biol       Date:  2022-05-02       Impact factor: 4.174

4.  On the molecular relationship between Hounsfield Unit (HU), mass density, and electron density in computed tomography (CT).

Authors:  Atchar Sudhyadhom
Journal:  PLoS One       Date:  2020-12-31       Impact factor: 3.240

  4 in total

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