Validation of proton stopping power ratio estimation based on dual energy CT using fresh tissue samples

Vicki T. Taasti, Gregory J. Michalak, David C. Hansen, Amanda J. Deisher, Jon J. Kruse, Bernhard Krauss, Ludvig P. Muren, Jørgen B.B. Petersen, Cynthia H McCollough

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Dual energy CT (DECT) has been shown, in theoretical and phantom studies, to improve the stopping power ratio (SPR) determination used for proton treatment planning compared to the use of single energy CT (SECT). However, it has not been shown that this also extends to organic tissues. The purpose of this study was therefore to investigate the accuracy of SPR estimation for fresh pork and beef tissue samples used as surrogates of human tissues. The reference SPRs for fourteen tissue samples, which included fat, muscle and femur bone, were measured using proton pencil beams. The tissue samples were subsequently CT scanned using four different scanners with different dual energy acquisition modes, giving in total six DECT-based SPR estimations for each sample. The SPR was estimated using a proprietary algorithm (syngo.via DE Rho/Z Maps, Siemens Healthcare, Forchheim, Germany) for extracting the electron density and the effective atomic number. SECT images were also acquired and SECT-based SPR estimations were performed using a clinical Hounsfield look-up table. The mean and standard deviation of the SPR over large volume-of-interests were calculated. For the six different DECT acquisition methods, the root-mean-square errors (RMSEs) for the SPR estimates over all tissue samples were between 0.9% and 1.5%. For the SECT-based SPR estimation the RMSE was 2.8%. For one DECT acquisition method, a positive bias was seen in the SPR estimates, having a mean error of 1.3%. The largest errors were found in the very dense cortical bone from a beef femur. This study confirms the advantages of DECT-based SPR estimation although good results were also obtained using SECT for most tissues.

Original languageEnglish (US)
Article number015012
JournalPhysics in Medicine and Biology
Volume63
Issue number1
DOIs
StatePublished - Jan 1 2018

Fingerprint

Protons
Femur
Germany
Theoretical Models
Fats
Electrons
Delivery of Health Care
Bone and Bones
Muscles
Red Meat

Keywords

  • dual energy CT
  • organic tissue measurements
  • proton pencil beam measurements
  • proton therapy
  • stopping power ratio
  • treatment planning

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

Cite this

Validation of proton stopping power ratio estimation based on dual energy CT using fresh tissue samples. / Taasti, Vicki T.; Michalak, Gregory J.; Hansen, David C.; Deisher, Amanda J.; Kruse, Jon J.; Krauss, Bernhard; Muren, Ludvig P.; Petersen, Jørgen B.B.; McCollough, Cynthia H.

In: Physics in Medicine and Biology, Vol. 63, No. 1, 015012, 01.01.2018.

Research output: Contribution to journalArticle

Taasti, VT, Michalak, GJ, Hansen, DC, Deisher, AJ, Kruse, JJ, Krauss, B, Muren, LP, Petersen, JBB & McCollough, CH 2018, 'Validation of proton stopping power ratio estimation based on dual energy CT using fresh tissue samples', Physics in Medicine and Biology, vol. 63, no. 1, 015012. https://doi.org/10.1088/1361-6560/aa952f
Taasti, Vicki T. ; Michalak, Gregory J. ; Hansen, David C. ; Deisher, Amanda J. ; Kruse, Jon J. ; Krauss, Bernhard ; Muren, Ludvig P. ; Petersen, Jørgen B.B. ; McCollough, Cynthia H. / Validation of proton stopping power ratio estimation based on dual energy CT using fresh tissue samples. In: Physics in Medicine and Biology. 2018 ; Vol. 63, No. 1.
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