Combination of principal component analysis and optical-flow motion compensation for improved cardiac MR thermometry

The use of magnetic resonance (MR) thermometry for the monitoring of thermal ablation is rapidly expanding. However, this technique remains challenging for the monitoring of the treatment of cardiac arrhythmia by radiofrequency ablation due to the heart displacement with respiration and contraction....

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Bibliographic Details
Published in:Physics in medicine & biology 2017-02, Vol.62 (4), p.1208-1224
Main Authors: Toupin, S, de Senneville, B Denis, Ozenne, V, Bour, P, Lepetit-Coiffe, M, Boissenin, M, Jais, P, Quesson, B
Format: Article
Language:English
Subjects:
Algorithms
Animals
cardiac MRI
Catheter Ablation
Engineering Sciences
Healthy Volunteers
Heart - physiology
Humans
Image Processing, Computer-Assisted - methods
Magnetic Resonance Imaging - methods
motion estimation
Movement - physiology
MR thermometry
Optical Imaging - methods
Phantoms, Imaging
Principal Component Analysis
Respiration
Sheep
Signal and Image processing
Thermometry - methods
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Summary:The use of magnetic resonance (MR) thermometry for the monitoring of thermal ablation is rapidly expanding. However, this technique remains challenging for the monitoring of the treatment of cardiac arrhythmia by radiofrequency ablation due to the heart displacement with respiration and contraction. Recent studies have addressed this problem by compensating in-plane motion in real-time with optical-flow based tracking technique. However, these algorithms are sensitive to local variation of signal intensity on magnitude images associated with tissue heating. In this study, an optical-flow algorithm was combined with a principal component analysis method to reduce the impact of such effects. The proposed method was integrated to a fully automatic cardiac MR thermometry pipeline, compatible with a future clinical workflow. It was evaluated on nine healthy volunteers under free breathing conditions, on a phantom and in vivo on the left ventricle of a sheep. The results showed that local intensity changes in magnitude images had lower impact on motion estimation with the proposed method. Using this strategy, the temperature mapping accuracy was significantly improved.
ISSN:0031-9155
1361-6560
DOI:10.1088/1361-6560/aa51f9