Treffer: Variational approach to cardiac motion estimation for small animals in tagged magnetic resonance imaging

Title:
Variational approach to cardiac motion estimation for small animals in tagged magnetic resonance imaging
Authors:
CHANG, Hsun-Hsien
Source:
Advances in image and video technology (First pacific rim symposium, PSIVT 2006, Hsinchu, Taiwan, December 10-13, 2006)0PSIVT 2006. :363-372
Publisher Information:
Berlin; Heidelberg: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 8 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Optics, Optique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Analyse syntaxique, Syntactic analysis, Análisis sintáxico, Appareil circulatoire, Circulatory system, Aparato circulatorio, Calcul variationnel, Variational calculus, Cálculo de variaciones, Equation Euler Lagrange, Euler Lagrange equation, Ecuación Euler Lagrange, Estimation mouvement, Motion estimation, Estimación movimiento, Flux optique, Optical flow, Flujo óptico, Gradient, Gradiente, Harmonique, Harmonic, Armónica, Imagerie RMN, Nuclear magnetic resonance imaging, Imaginería RMN, Marquage, Tagging, Marcación, Minimisation, Minimization, Minimización, Monitorage, Monitoring, Monitoreo, Ouverture optique, Aperture, Abertura óptica, Résonance magnétique, Magnetic resonance, Resonancia magnética, Surveillance, Vigilancia, Traitement image, Image processing, Procesamiento imagen, Vision ordinateur, Computer vision, Visión ordenador
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States
Pittsburgh NMR Center for Biomedical Research, Carnegie Mellon University, Pittsburgh, PA 15213, United States
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19008244
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19008244
Database:
PASCAL Archive

Weitere Informationen

Monitoring cardiac motion in the stage of small animal study is very important in cardiac research. This paper presents a variational approach to estimating the heart motion of small animals imaged by magnetic resonance (MR) tagging. Small animals have much faster heart beats than human, so their cardiac sequences are temporally undersampled, leading to the aperture problem when reconstructing the cardiac motions. To overcome this difficulty, we adopt the prior knowledge of motions on the myocardial boundaries that were determined in the preprocessing. In addition, we utilize the high gradients of intensities on the tag lines to derive the motions through the cardiac cycle. We formulate the problem in the framework of energy minimization. Variational calculus gives us the Euler-Lagrange equations to seek the minimum. The results produced by our approach are better than the existing optical flow based method [1] and the harmonic phase method [2]. The evaluation suggests that our approach will be more suitable for the small animal studies.