Applications of the Iterated Conditional Modes Algorithm for Motion Estimation in Medical Image Sequences

Author

Cristian Grava;Alexandru Gacsadi;Cornelia Gordan;Adriana-Marcela Grava;Joan Gavrilut

Author_Institution

Department of Electronics, University of Oradea, Romania, cgrava@uoradea.ro

Volume

2

fYear

2007

fDate

7/1/2007 12:00:00 AM

Firstpage

1

Lastpage

4

Abstract

This paper presents a deterministic algorithm for motion estimation in medical image sequences. We are describing the iterated conditional modes (ICM) algorithm adapted to solve the motion estimation problem in medical image sequences. The proposed algorithm ensures a trade-off between precision and computational time that is a good efficiency when compared to the stochastic algorithms. The results are compared in terms of precision and of computational time with those of other basic algorithms such as the basic block-matching algorithm or the Horn & Schunck algorithm. The results are illustrated on CT (computer tomography) and MRI (magnetically resonance imaging) medical image sequences.

Keywords

"Motion estimation","Biomedical imaging","Image sequences","Stochastic processes","Medical diagnostic imaging","Equations","Magnetic resonance imaging","Computational efficiency","Nuclear magnetic resonance","Minimization methods"

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems, 2007. ISSCS 2007. International Symposium on

Print_ISBN

1-4244-0968-3

Type

conf

DOI

10.1109/ISSCS.2007.4292740

Filename

4292740