DocumentCode :
2096909
Title :
Iterative reconstruction of tomographic images with Fourier components as model parameters
Author :
Swerdloff, S. ; Dabbs, K. ; Wang, X.-M. ; Holden, J.E.
Author_Institution :
Dept. of Med. Phys. & Radiol., Wisconsin Univ., Madison, WI, USA
Volume :
2
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
840
Abstract :
Iterative tomographic image reconstruction methods have focused on the optimization of some measure in the acquired data space with the image pixel values serving as the model parameters. We have developed an alternative approach in which the model parameters are instead pixel values in the two-dimensional frequency space representation of the model image. The results are at least equivalent to those obtained with the model in image space with the advantage of a considerable decrease in computational cost
Keywords :
fast Fourier transforms; image reconstruction; image representation; iterative methods; parameter estimation; tomography; FFT; Fourier components; computational cost reduction; data space; image pixel values; image space; iterative tomographic image reconstruction; model image; model parameters; two-dimensional frequency space representation; Biomedical imaging; Frequency; Image reconstruction; Interpolation; Iterative methods; Phased arrays; Physics; Pixel; Reconstruction algorithms; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413689
Filename :
413689
Link To Document :
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