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