Literature DB >> 29513647

Ex vivo validation of a stoichiometric dual energy CT proton stopping power ratio calibration.

Yunhe Xie1, Christopher Ainsley, Lingshu Yin, Wei Zou, James McDonough, Timothy D Solberg, Alexander Lin, Boon-Keng Kevin Teo.   

Abstract

A major source of uncertainty in proton therapy is the conversion of Hounsfield unit (HU) to proton stopping power ratio relative to water (SPR). In this study, we measured and quantified the accuracy of a stoichiometric dual energy CT (DECT) SPR calibration. We applied a stoichiometric DECT calibration method to derive the SPR using CT images acquired sequentially at [Formula: see text] and [Formula: see text]. The dual energy index was derived based on the HUs of the paired spectral images and used to calculate the effective atomic number (Z eff), relative electron density ([Formula: see text]), and SPRs of phantom and biological materials. Two methods were used to verify the derived SPRs. The first method measured the sample's water equivalent thicknesses to deduce the SPRs using a multi-layer ion chamber (MLIC) device. The second method utilized Gafchromic EBT3 film to directly compare relative ranges between sample and water after proton pencil beam irradiation. Ex vivo validation was performed using five different types of frozen animal tissues with the MLIC and three types of fresh animal tissues using film. In addition, the residual ranges recorded on the film were used to compare with those from the treatment planning system using both DECT and SECT derived SPRs. Bland-Altman analysis indicates that the differences between DECT and SPR measurement of tissue surrogates, frozen and fresh animal tissues has a mean of 0.07% and standard deviation of 0.58% compared to 0.55% and 1.94% respectively for single energy CT (SECT) and SPR measurement. Our ex vivo study indicates that the stoichiometric DECT SPR calibration method has the potential to be more accurate than SECT calibration under ideal conditions although beam hardening effects and other image artifacts may increase this uncertainty.

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Year:  2018        PMID: 29513647     DOI: 10.1088/1361-6560/aaae91

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


  14 in total

1.  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

2.  Theoretical and experimental analysis of photon counting detector CT for proton stopping power prediction.

Authors:  Vicki T Taasti; David C Hansen; Gregory J Michalak; Amanda J Deisher; Jon J Kruse; Ludvig P Muren; Jørgen B B Petersen; Cynthia H McCollough
Journal:  Med Phys       Date:  2018-10-01       Impact factor: 4.071

Review 3.  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

4.  Determination of proton stopping power ratio with dual-energy CT in 3D-printed tissue/air cavity surrogates.

Authors:  Jerimy C Polf; Matthew M Mille; Sina Mossahebi; Haijian Chen; Paul Maggi; Huaiyu Chen-Mayer
Journal:  Med Phys       Date:  2019-06-05       Impact factor: 4.071

5.  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

6.  Potential of a Second-Generation Dual-Layer Spectral CT for Dose Calculation in Particle Therapy Treatment Planning.

Authors:  Friderike K Longarino; Antonia Kowalewski; Thomas Tessonnier; Stewart Mein; Benjamin Ackermann; Jürgen Debus; Andrea Mairani; Wolfram Stiller
Journal:  Front Oncol       Date:  2022-04-20       Impact factor: 5.738

7.  Learning-Based Stopping Power Mapping on Dual-Energy CT for Proton Radiation Therapy.

Authors:  Tonghe Wang; Yang Lei; Joseph Harms; Beth Ghavidel; Liyong Lin; Jonathan J Beitler; Mark McDonald; Walter J Curran; Tian Liu; Jun Zhou; Xiaofeng Yang
Journal:  Int J Part Ther       Date:  2021-02-12

8.  Comparison of single and dual energy CT for stopping power determination in proton therapy of head and neck cancer.

Authors:  Vicki Trier Taasti; Ludvig Paul Muren; Kenneth Jensen; Jørgen Breede Baltzer Petersen; Jesper Thygesen; Anna Tietze; Cai Grau; David Christoffer Hansen
Journal:  Phys Imaging Radiat Oncol       Date:  2018-04-22

9.  Initial Validation of Proton Dose Calculations on SPR Images from DECT in Treatment Planning System.

Authors:  Sina Mossahebi; Pouya Sabouri; Haijian Chen; Michelle Mundis; Matthew O'Neil; Paul Maggi; Jerimy C Polf
Journal:  Int J Part Ther       Date:  2020-11-23

10.  Dual-Energy Computed Tomography Proton-Dose Calculation with Scripting and Modified Hounsfield Units.

Authors:  Anthony Kassaee; Chingyun Cheng; Lingshu Yin; Wei Zou; Taoran Li; Alexander Lin; Samuel Swisher-McClure; John N Lukens; Robert A Lustig; Shannon O'Reilly; Lei Dong; Roni Hytonen Ms; Boon-Keng Kevin Teo
Journal:  Int J Part Ther       Date:  2021-06-25
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