DocumentCode :
1367035
Title :
Effective description of a 3D object for photon transportation in Monte Carlo simulation
Author :
Suganuma, Ryuichi ; Ogawa, Koichi
Author_Institution :
Dept. of Electron. Inf., Hosei Univ., Tokyo, Japan
Volume :
47
Issue :
3
fYear :
2000
fDate :
6/1/2000 12:00:00 AM
Firstpage :
1024
Lastpage :
1029
Abstract :
Photon transport simulation by means of the Monte Carlo method is an indispensable technique for examining scatter and absorption correction methods in SPECT and PET. The authors have developed a method for object description with maximum size regions (maximum rectangular regions: MRRs) to speed up photon transport simulation, and compared the computation time with that for conventional object description methods, a voxel-based (VB) method and an octree method, in the simulations of two kinds of phantoms. The simulation results showed that the computation time with the proposed method became about 50% of that with the VD method and about 70% of that with the octree method for a high resolution MCAT phantom. Here, details of the expansion of the MRR method to three dimensions are given. Moreover, the effectiveness of the proposed method was compared with the VB and octree methods
Keywords :
Monte Carlo methods; gamma-ray absorption; gamma-ray scattering; medical image processing; octrees; photon transport theory; positron emission tomography; single photon emission computed tomography; Monte Carlo simulation; PET; SPECT; absorption correction; computation time; effective 3D object description; high resolution MCAT phantom; maximum rectangular regions; medical diagnostic imaging; nuclear medicine; octree method; phantoms; photon transportation; scatter correction; voxel-based method; Absorption; Computational modeling; Electromagnetic scattering; Imaging phantoms; Optical computing; Particle scattering; Positron emission tomography; Single photon emission computed tomography; Transportation;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.856542
Filename :
856542
Link To Document :
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