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