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
Link To Document :
بازگشت