DocumentCode
3475021
Title
Experimental results with dual-energy penalized weighted least-squares image reconstruction for X-ray transmission tomography
Author
Sukovic, Predrag ; Clinthorne, Neal H.
Author_Institution
Dept. of Biomed. Eng., Michigan Univ., Ann Arbor, MI, USA
Volume
3
fYear
2000
fDate
2000
Abstract
The authors experimentally evaluate the performance of our previously reported penalized weighted-least squares (PWLS) dual-energy (DE) method. The method is expected to ultimately find its application in positron emission tomography (PET) attenuation correction and quantitative computed tomography (QCT). Both applications require highly accurate density estimates along with a low radiation dose, or in other words low X-ray flux. The authors´ earlier study on computer-generated sets of data showed that De PWLS method is superior to a standard FBP-based DE method. The authors are particularly interested to what extent the performance of their method is affected by photon scatter in the body and the polychromaticity of the X-ray source, as neither scatter nor polychromaticity were taken into account in the computer-generated sets of data. The accuracy of the method and its dependence on X-ray source flux is illustrated and compared to previously reported simulation results
Keywords
computerised tomography; image reconstruction; medical image processing; PET attenuation correction; X-ray source polychromaticity; X-ray transmission tomography; dual-energy penalized weighted least-squares image reconstruction; low X-ray flux; medical diagnostic imaging; photon scatter; quantitative computed tomography; Application software; Attenuation; Computational modeling; Computed tomography; Electromagnetic scattering; Optical computing; Particle scattering; Positron emission tomography; X-ray imaging; X-ray scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2000 IEEE
Conference_Location
Lyon
ISSN
1082-3654
Print_ISBN
0-7803-6503-8
Type
conf
DOI
10.1109/NSSMIC.2000.949389
Filename
949389
Link To Document