DocumentCode :
40985
Title :
A Method to Standardize Quantification of Left Atrial Scar From Delayed-Enhancement MR Images
Author :
Karim, Rashed ; Arujuna, Aruna ; Housden, R. James ; Gill, Jaswinder ; Cliffe, Hannah ; Matharu, Kavir ; Gill, Jaswinder ; Rindaldi, Christopher Aldo ; O´Neill, Maire ; Rueckert, Daniel ; Razavi, Rouzbeh ; Schaeffter, Tobias ; Rhode, Kawal
Author_Institution :
Div. of Imaging Sci. & Biomed. Eng., King´s Coll. London, London, UK
Volume :
2
fYear :
2014
fDate :
2014
Firstpage :
1
Lastpage :
15
Abstract :
Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for detecting left atrial (LA) fibrosis both pre and postradiofrequency ablation for the treatment of atrial fibrillation. Fixed thresholding models are frequently utilized clinically to segment and quantify scar in DE-MRI due to their simplicity. These methods fail to provide a standardized quantification due to interobserver variability. Quantification of scar can be used as an endpoint in clinical studies and therefore standardization is important. In this paper, we propose a segmentation algorithm for LA fibrosis quantification and investigate its performance. The algorithm was validated using numerical phantoms and 15 clinical data sets from patients undergoing LA ablation. We demonstrate that the approach produces good concordance with expert manual delineations. The method offers a standardized quantification technique for evaluation and interpretation of DE-MRI scans.
Keywords :
biomedical MRI; blood vessels; cardiovascular system; image segmentation; medical disorders; medical image processing; phantoms; radiation therapy; radiofrequency heating; standardisation; DE-MRI scans; LA ablation; LA fibrosis quantification; atrial fibrillation treatment; clinical data sets; delayed-enhancement magnetic resonance imaging; expert manual delineations; fixed thresholding model; interobserver variability; left atrial fibrosis detection; left atrial scar; numerical phantom; postradiofrequency ablation; preradiofrequency ablation; scar quantification; scar segmentation; segmentation algorithm; standardization; standardized quantification technique; Adaptation models; Biolgical tissues; Biomedical imaging; Blood; Image segmentation; Magnetic resonance imaging; Myocardium; Delayed-enhancement MRI; fibrosis; image segmentation; left atrium;
fLanguage :
English
Journal_Title :
Translational Engineering in Health and Medicine, IEEE Journal of
Publisher :
ieee
ISSN :
2168-2372
Type :
jour
DOI :
10.1109/JTEHM.2014.2312191
Filename :
6774956
Link To Document :
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