Mean field annealing for motion estimation in medical image sequences

Author

Grava, Cristian ; Buzuloiu, Vasile ; Gacsádi, Alexandru ; Grava, Adnana-Marcela

Author_Institution

Dept. of Electron., Oradea Univ., Romania

Volume

1

fYear

2005

fDate

14-15 July 2005

Firstpage

35

Abstract

This paper presents an application of mean field annealing (MFA) theory for motion estimation in medical image sequences. More precisely, we present the adaptation of the MFA algorithm to solve the motion estimation problem in NMR (nuclear magnetic resonance) image sequences. The proposed algorithm ensures a satisfying trade-off between precision and computational time, in other words, it ensures a good efficiency in comparison with stochastic algorithms. The results are compared in term of precision and computational time with some basic algorithms, such as the basic block-matching and Horn & Schunck. The results are illustrated on both synthetic images (obtained using the free form deformation principle) and real NMR medical image sequences.

Keywords

image sequences; medical image processing; motion estimation; nuclear magnetic resonance; computational time; mean field annealing; medical image sequences; motion estimation; nuclear magnetic resonance; precision; stochastic algorithms; Annealing; Biomedical imaging; Computational efficiency; Equations; Image sequences; Medical diagnostic imaging; Motion estimation; Nuclear magnetic resonance; Pixel; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems, 2005. ISSCS 2005. International Symposium on

Print_ISBN

0-7803-9029-6

Type

conf

DOI

10.1109/ISSCS.2005.1509844

Filename

1509844