A monte carlo study of X-RAY spectra considering multiply-scattered photons(I) : monoenergetic X-RAY incidence on a water phantom
Abstract
The accurate imaging of the internal structure of the body and the accurate measurment of absorbed dose in the patient are limited by multiple interaction of X-ray photons with atoms in the body. For incident monoenergetic photon energies from 50 to 150keV and for uniform water phantoms(30×100×th cm^3 : th=2.5-30cm), we calculated the X-ray spectra including multiply-scattered photons using Monte Carlo simulation methods. The results indicate the following facts ; 1)A photon scatters about 3 times in average in the 10-cm water layer. About 2.5% of the incident photons are scattered more than 11 times for 100-keV incident beam. 2)Over 50% of the scattered photons are those multiply scattered. 3)As water layer thickness increases, the ratio of absorbed energy fluence to incident energy fluence gradually saturates, because of the saturation of the fraction of backscattering. 4)In high incident photon energy region, absorbed energy fluence calculated using the Monte Carlo method is greater than that using the linear absorption coefficient, whereas the former is less than the latter in low energy region. These facts are due to the existing of scattered photons. To evaluate the image quality and to obtain the accurate dose in the patient, it is necessary to consider the multiply-scattered photons.
Read the paper
Related studies
- Characterization and Analysis of Porosity and Pore Structures
- Practical considerations for conducting ecotoxicity test methods with manufactured nanomaterials: what have we learnt so far?
- Dental Optical Coherence Tomography
- Radiation-shielding concrete: A review of materials, performance, and the impact of radiation on concrete properties
- Testing entanglement of annihilation photons
- Calanus finmarchicus seasonal cycle and diapause in relation to gene expression, physiology, and endogenous clocks
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.