DocumentCode
1385438
Title
Three-dimensional attenuation map reconstruction using geometrical models and free-form deformations [SPECT application]
Author
Battle, X.L. ; Le Rest, C. ; Turzo, A. ; Bizais, Y.
Author_Institution
Lab. de Biophys., Univ. de Bretagne Occidentale, Brest, France
Volume
19
Issue
5
fYear
2000
fDate
5/1/2000 12:00:00 AM
Firstpage
404
Lastpage
411
Abstract
Addresses the issue of using deformable models to reconstruct an unknown attenuation map of the torso from a set of transmission scans. The authors assume the three-dimensional (3-D) distribution of attenuation coefficients to be piecewise uniform. They represent the unknown distribution by a set of closed surfaces defining regions having the same attenuating properties. The methods of reconstruction published so far tend to directly deform the surfaces, the parameters being the surface elements. Rather than deforming the surfaces, the authors explore the possibility of deforming the space in which the geometrical primitives are contained. They focus on the use of free-form deformations (FFD´s) to describe the continuous transformation of space used to match a set of transmission measurements. They illustrate this approach by reconstructing realistically simulated transmission scans of the torso with various noise levels and compare the results to standard reconstruction methods.
Keywords
gamma-ray absorption; image reconstruction; medical image processing; modelling; single photon emission computed tomography; SPECT; closed surfaces; free-form deformations; geometrical models; geometrical primitives; medical diagnostic imaging; nuclear medicine; surface elements; three-dimensional attenuation map reconstruction; torso; transmission scans; unknown attenuation map; Attenuation measurement; Deformable models; Electromagnetic measurements; Extraterrestrial measurements; Image reconstruction; Noise level; Reconstruction algorithms; Solid modeling; Surface reconstruction; Torso; Algorithms; Humans; Image Processing, Computer-Assisted; Lung; Models, Theoretical; Phantoms, Imaging; Spine; Tomography, Emission-Computed, Single-Photon; Tomography, X-Ray Computed;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.870251
Filename
870251
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