Literature DB >> 21719949

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

M Yang1, G Virshup, J Clayton, X R Zhu, R Mohan, L Dong.   

Abstract

Conventional kilovoltage (kV) x-ray-based dual-energy CT (DECT) imaging using two different x-ray energy spectra is sensitive to image noise and beam hardening effects. The purpose of this study was to evaluate the theoretical advantage of the DECT method for determining proton stopping power ratios (SPRs) using a combination of kV and megavoltage (MV) x-ray energies. We investigated three representative x-ray energy pairs: 100 and 140 kVp comprised the kV-kV pair, 100 kVp and 1 MV comprised the kV-MV pair, and two 1 MV x-ray beams-one with and one without external filtration-comprised the MV-MV pair. The SPRs of 34 human tissues were determined using the DECT method with these three x-ray energy pairs. Small perturbations were introduced into the CT numbers and x-ray spectra used for the DECT calculation to simulate the effects of random noise and beam hardening. An error propagation analysis was performed on the DECT calculation algorithm to investigate the propagation of CT number uncertainty to final SPR estimation and to suggest the best x-ray energy combination. We found that the DECT method using each of the three beam pairs achieved similar accuracy in determining the SPRs of human tissues in ideal conditions. However, when CT number uncertainties and artifacts such as imaging noise and beam hardening effects were considered, the kV-MV DECT improved the accuracy of SPR estimation substantially over the kV-kV or MV-MV DECT methods. Furthermore, our error propagation analysis showed that the combination of 100 kVp and 1 MV beams was close to the optimal selection when using the DECT method to determine SPRs. Overall, the kV-MV combination makes the DECT method more robust in resolving the effective atomic numbers for biological tissues than the traditional kV-kV DECT method.

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Year:  2011        PMID: 21719949      PMCID: PMC3144258          DOI: 10.1088/0031-9155/56/14/017

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


  12 in total

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7.  Theoretical variance analysis of single- and dual-energy computed tomography methods for calculating proton stopping power ratios of biological tissues.

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  13 in total

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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.

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Review 5.  Empowering Intensity Modulated Proton Therapy Through Physics and Technology: An Overview.

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7.  Physical density estimations of single- and dual-energy CT using material-based forward projection algorithm: a simulation study.

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8.  Site-specific range uncertainties caused by dose calculation algorithms for proton therapy.

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9.  Spectral imaging using clinical megavoltage beams and a novel multi-layer imager.

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

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Journal:  Phys Med Biol       Date:  2017-08-09       Impact factor: 3.609

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