Literature DB >> 29239855

Experimental verification of stopping-power prediction from single- and dual-energy computed tomography in biological tissues.

Christian Möhler1, Tom Russ, Patrick Wohlfahrt, Alina Elter, Armin Runz, Christian Richter, Steffen Greilich.   

Abstract

An experimental setup for consecutive measurement of ion and x-ray absorption in tissue or other materials is introduced. With this setup using a 3D-printed sample container, the reference stopping-power ratio (SPR) of materials can be measured with an uncertainty of below 0.1%. A total of 65 porcine and bovine tissue samples were prepared for measurement, comprising five samples each of 13 tissue types representing about 80% of the total body mass (three different muscle and fatty tissues, liver, kidney, brain, heart, blood, lung and bone). Using a standard stoichiometric calibration for single-energy CT (SECT) as well as a state-of-the-art dual-energy CT (DECT) approach, SPR was predicted for all tissues and then compared to the measured reference. With the SECT approach, the SPRs of all tissues were predicted with a mean error of (-0.84  ±  0.12)% and a mean absolute error of (1.27  ±  0.12)%. In contrast, the DECT-based SPR predictions were overall consistent with the measured reference with a mean error of (-0.02  ±  0.15)% and a mean absolute error of (0.10  ±  0.15)%. Thus, in this study, the potential of DECT to decrease range uncertainty could be confirmed in biological tissue.

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Year:  2018        PMID: 29239855     DOI: 10.1088/1361-6560/aaa1c9

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


  15 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.  Myths and realities of range uncertainty.

Authors:  Antony John Lomax
Journal:  Br J Radiol       Date:  2019-12-23       Impact factor: 3.039

Review 4.  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

5.  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

6.  Learning-based synthetic dual energy CT imaging from single energy CT for stopping power ratio calculation in proton radiation therapy.

Authors:  Serdar Charyyev; Tonghe Wang; Yang Lei; Beth Ghavidel; Jonathan J Beitler; Mark McDonald; Walter J Curran; Tian Liu; Jun Zhou; Xiaofeng Yang
Journal:  Br J Radiol       Date:  2021-10-28       Impact factor: 3.039

7.  The accuracy of helium ion CT based particle therapy range prediction: an experimental study comparing different particle and x-ray CT modalities.

Authors:  L Volz; C-A Collins-Fekete; E Bär; S Brons; C Graeff; R P Johnson; A Runz; C Sarosiek; R W Schulte; J Seco
Journal:  Phys Med Biol       Date:  2021-11-29       Impact factor: 3.609

8.  One-step iterative reconstruction approach based on eigentissue decomposition for spectral photon-counting computed tomography.

Authors:  Mikaël Simard; Hugo Bouchard
Journal:  J Med Imaging (Bellingham)       Date:  2022-07-27

9.  The impact of secondary fragments on the image quality of helium ion imaging.

Authors:  Lennart Volz; Pierluigi Piersimoni; Vladimir A Bashkirov; Stephan Brons; Charles-Antoine Collins-Fekete; Robert P Johnson; Reinhard W Schulte; Joao Seco
Journal:  Phys Med Biol       Date:  2018-10-02       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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