DocumentCode :
686632
Title :
Atomic number image enhancement by polynomial fitting in dual energy CT
Author :
Dufan Wu ; Li Zhang ; Jia Hao
Author_Institution :
Key Lab. of Particle & Radiat. Imaging, Tsinghua Univ., Beijing, China
fYear :
2013
fDate :
Oct. 27 2013-Nov. 2 2013
Firstpage :
1
Lastpage :
4
Abstract :
Dual energy CT (DECT) is able to reconstruct the effective atomic number and the electron density from the high and low energy projections of the scanned object. The atomic number image is sensitive to the noise presentation and can easily suffer from severe noises. Here we propose a method which uses the image which is reconstructed directly from the high or low energy projections to enhance the noisy atomic number image. The method uses blocked polynomial fitting to fit the low noise image to the atomic number image. The method preserves the structures of the object and the result has close grey scale values to the atomic number image. The low noise characteristic of the reference image is also preserved. The method has reasonable time and space complexity and parallel computation is possible. Both simulation and real experiment are used to test the method and promising results are shown.
Keywords :
computerised tomography; electron density; image denoising; image enhancement; image reconstruction; medical image processing; polynomials; atomic number image denoising; atomic number image enhancement; atomic number image reconstruction; blocked polynomial fitting; close grey scale values; dual energy computerised tomography; electron density; high-energy projections; low-energy projections; noise presentation; parallel computation; polynomial fitting; scanned object; space complexity; time complexity; Computational modeling; Computed tomography; Fitting; Image reconstruction; Materials; Noise; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-0533-1
Type :
conf
DOI :
10.1109/NSSMIC.2013.6829059
Filename :
6829059
Link To Document :
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