Academic Journal

Characterization of animal tissues for Monte Carlo simulations in ion beam therapy.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Characterization of animal tissues for Monte Carlo simulations in ion beam therapy.
Συγγραφείς: Xiaoli L; Department of Medical Physics, Shanghai Proton and Heavy Ion Center, Shanghai, China.; Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.; Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy, Shanghai, China., Moyers MF; Department of Medical Physics, Shanghai Proton and Heavy Ion Center, Shanghai, China.; Shanghai Key Laboratory of Radiation Oncology, Shanghai, China.; Shanghai Engineering Research Center of Proton and Heavy Ion Radiation Therapy, Shanghai, China.
Πηγή: Journal of applied clinical medical physics [J Appl Clin Med Phys] 2026 Oct; Vol. 27 (10), pp. e70836.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Wiley on behalf of American Association of Physicists in Medicine Country of Publication: United States NLM ID: 101089176 Publication Model: Print Cited Medium: Internet ISSN: 1526-9914 (Electronic) Linking ISSN: 15269914 NLM ISO Abbreviation: J Appl Clin Med Phys Subsets: MEDLINE
Imprint Name(s): Publication: 2017- : Malden, MA : Wiley on behalf of American Association of Physicists in Medicine
Original Publication: Reston, VA : American College of Medical Physics, c2000-
Ιατρικοί όροι (MeSH): Tomography, X-Ray Computed*/methods , Radiotherapy Planning, Computer-Assisted*/methods , Proton Therapy*/methods , Monte Carlo Method* , Phantoms, Imaging*, Image Processing, Computer-Assisted/methods ; Animals ; Radiotherapy Dosage ; Computer Simulation
Περίληψη: Purpose: To obtain better elemental compositions (ECs), physical densities (PDs), and relative linear stopping powers (RLSPs) of tissues scanned by single or dual energy computed tomography for use by Monte Carlo (MC) simulations of light ion beam therapy.
Methods and Materials: The RLSPs of 12 animal tissue samples were measured using several different energy proton and carbon ion beams. The EC of each sample was analyzed using the following modern laboratory techniques: Inductively coupled plasma optical emission spectrometry (ICP-OES), inductively coupled plasma mass spectrometry (ICP-MS), organic elemental analysis (OEA), and ion chromatography (IC). RLSPs were calculated from both measured ECs and literature ECs and then compared with measured RLSPs. All samples underwent single-energy CT (SECT) and dual-energy CT (DECT) scanning after which a dual-energy index (DEI) was derived. A mapping from computed tomography number (CTN) and DEI to PD was performed.
Results: For each tissue sample, the measured RLSPs showed no significant dependence on beam energy or ion species, with all values agreeing to within ± 1% except for lung (within ± 2%). RLSPs directly measured and those calculated using measured PDs and ECs agreed within ± 2% except for lung. Measured RLSPs were slightly closer to values from laboratory-determined ECs than to literature ECs.
Conclusions: RLSP measurements were independent of beam energy and ion species. The main determinants of accurate CTN to RLSP conversion are the PDs and fractional hydrogen content of the tissues. The accuracy of PD and EC for input into Monte Carlo transport calculations can be improved by combining DEI and scaled CTN.
(© 2026 The Author(s). Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.)
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Contributed Indexing: Keywords: CT number; carbon ions; dual energy CT index; elemental composition; protons; relative linear stopping power
Entry Date(s): Date Created: 20261006 Date Completed: 20261006 Latest Revision: 20261008
Update Code: 20261008
PubMed Central ID: PMC13639258
DOI: 10.1002/acm2.70836
PMID: 42834590
Βάση Δεδομένων: MEDLINE