PARAMETRIZED X-RAY ABSORPTION IN DIAGNOSTIC-RADIOLOGY FROM MONTE-CARLO CALCULATIONS - IMPLICATIONS FOR X-RAY-DETECTOR DESIGN

被引:31
作者
BOONE, JM
机构
[1] Department of Radiology, Thomas Jefferson University, Philadelphia
关键词
D O I
10.1118/1.596803
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The integral dose to the patient and image signal to noise ratio (SNR) are inexorably coupled in x-ray-based diagnostic imaging. Advancements and optimal design of imaging devices need to consider the SNR as well as patient dose. The figure of merit, FOM = (SNR)2/(integral dose), is a useful parameter in optimizing detector designs because it is independent of input exposure, and therefore eliminates exposure as a design consideration. Although numerical calculation of the SNR is relatively straightforward in most cases, the integral dose calculation is made complex due to its scatter component's high dependency on both x-ray energy and patient thickness. Monte Carlo calculations over a range of monoenergetic x-ray energies were used to calculate total energy absorption, and the results are parametrized using polynomial expressions. The results are shown to be applicable to any arbitrary polyenergetic spectrum. An example using the above FOM is given to illustrate the utility of the parametrized results. The parametrized results may prove useful in the computer simulations of x-ray detector systems where the above FOM is utilized.
引用
收藏
页码:1467 / 1473
页数:7
相关论文
共 50 条
[31]   Monte Carlo calculations in X-ray microanalysis of epitaxial layers [J].
Tatiana B. Popova ;
Ekaterina Yu. Flegontova ;
Leonid A. Bakaleinikov ;
Mariya V. Zamoryanskaya .
Microchimica Acta, 2008, 161 :459-463
[32]   MONTE-CARLO MODELING OF X-RAY TRANSPORT IN A HETEROGENEOUS PHANTOM [J].
GOANS, RE ;
BEMIS, CE ;
WARNER, GG .
HEALTH PHYSICS, 1976, 31 (06) :559-560
[33]   MONTE-CARLO ERROR ANALYSIS IN X-RAY SPECTRAL DECONVOLUTION [J].
SHIRK, DG ;
HOFFMAN, NM .
REVIEW OF SCIENTIFIC INSTRUMENTS, 1985, 56 (05) :809-811
[34]   Monte-Carlo simulation of a micro focal X-ray tube [J].
Tavora, LMN ;
Morton, EJ .
1996 IEEE NUCLEAR SCIENCE SYMPOSIUM - CONFERENCE RECORD, VOLS 1-3, 1997, :783-787
[35]   CALCULATION OF X-RAY GRID CHARACTERISTICS BY MONTE-CARLO METHODS [J].
KALENDER, WA .
PHYSICS IN MEDICINE AND BIOLOGY, 1982, 27 (03) :353-361
[36]   MONTE-CARLO METHOD FOR X-RAY DEPTH DOSE DISTRIBUTION [J].
PUJOL, A ;
KING, RJ ;
GIBBS, SJ ;
WU, W .
JOURNAL OF DENTAL RESEARCH, 1976, 55 :B247-B247
[37]   Monte Carlo design of X-ray flattening filters [J].
Li, Quanfeng ;
Yan, Huiyong .
Qinghua Daxue Xuebao/Journal of Tsinghua University, 2003, 43 (06) :732-734
[38]   A Monte Carlo study of x-ray fluorescence in x-ray detectors [J].
Boone, JM ;
Seibert, JA ;
Sabol, JM ;
Tecotzky, M .
MEDICAL PHYSICS, 1999, 26 (06) :905-916
[39]   DESIGN AND OPERATION OF AN IMAGING X-RAY-DETECTOR FOR MICROTOMOGRAPHY [J].
DUNSMUIR, JH ;
FERGUSON, SR ;
DAMICO, KL .
INSTITUTE OF PHYSICS CONFERENCE SERIES, 1992, (121) :257-264
[40]   Monte Carlo simulation of X-ray room shielding in diagnostic radiology using PHITS code [J].
Abdul Aziz, M. Z. ;
Yani, S. ;
Haryanto, F. ;
Ya Ali, N. Kamarullah ;
Tajudin, S. M. ;
Iwase, H. ;
Musarudin, M. .
JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES, 2020, 13 (01) :704-713