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The role of Monte Carlo simulation in understanding the performance of proton computed tomography
- Source :
- Zeitschrift fur Medizinische Physik, Zeitschrift fur Medizinische Physik, Elsevier, In press, ⟨10.1016/j.zemedi.2020.06.006⟩
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- International audience; Proton computed tomography (pCT) is a promising tomographic imaging modality allowing direct reconstruction of proton relative stopping power (RSP) required for proton therapy dose calculation. In this review article, we aim at highlighting the role of Monte Carlo (MC) simulation in pCT studies. After describing the requirements for performing proton computed tomography and the various pCT scanners actively used in recent research projects, we present an overview of available MC simulation platforms. The use of MC simulations in the scope of investigations of image reconstruction, and for the evaluation of optimal RSP accuracy, precision and spatial resolution omitting detector effects is then described. In the final sections of the review article, we present specific applications of realistic Monte Carlo simulations of an existing pCT scanner prototype, which we describe in detail.
- Subjects :
- Proton computed tomography
Scanner
Computer science
Physics::Medical Physics
Monte Carlo method
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Biophysics
Iterative reconstruction
030218 nuclear medicine & medical imaging
Computational science
03 medical and health sciences
0302 clinical medicine
proton therapy
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
Radiology, Nuclear Medicine and imaging
Tomography
Image resolution
Proton therapy
Monte Carlo simulation
proton computed tomography
Tomographic reconstruction
Radiological and Ultrasound Technology
Phantoms, Imaging
Detector
relative proton stopping power
Protons
Monte Carlo Method
Subjects
Details
- ISSN :
- 09393889
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Zeitschrift für Medizinische Physik
- Accession number :
- edsair.doi.dedup.....1836cf331630f14b69d5668e46936d40