DocumentCode :
467175
Title :
A Multi-Resolution Mean Field Annealing Algorithm for Motion Estimation in Medical CT Image Sequences
Author :
Grava, Cristian ; Buzuloiu, Vasile ; Augereau, Bertrand ; Fernandez-Maloigne, Christine
Author_Institution :
Univ. of Oradea, Oradea
Volume :
1
fYear :
2007
fDate :
13-14 July 2007
Firstpage :
1
Lastpage :
4
Abstract :
The paper describes a multi-resolution mean field annealing (MFA) algorithm to solve the motion estimation problem in medical image sequences. The proposed algorithm ensures a satisfying trade-off between precision and computational time, in other words, it ensures a good efficiency when compared to other deterministic algorithms and also stochastic ones. The results are compared in terms of precision and computational time with those of other basic algorithms, such as the basic block-matching and Horn & Schunck algorithm. The results are illustrated on CT medical image sequences.
Keywords :
computerised tomography; image matching; image resolution; image sequences; medical image processing; motion estimation; block-matching; medical CT image sequence; motion estimation; multiresolution mean field annealing algorithm; Annealing; Biomedical imaging; Computed tomography; Equations; Image motion analysis; Image sequences; Laboratories; Motion estimation; Pixel; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Circuits and Systems, 2007. ISSCS 2007. International Symposium on
Conference_Location :
Iasi
Print_ISBN :
1-4244-0969-1
Electronic_ISBN :
1-4244-0969-1
Type :
conf
DOI :
10.1109/ISSCS.2007.4292713
Filename :
4292713
Link To Document :
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