A Method to Standardize Quantification of Left Atrial Scar from Delayed-Enhancement MR Images

Rashed Karim, Aruna Arujuna, James Housden, Jaspal Gill, Hannah Cliffe, Kavir Matharu, Jaswinder Gill, C. Aldo Rinaldi, Mark O'Neill, Daniel Rueckert, Reza Razavi, Tobias Schaeffter, Kawal Rhode

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for detecting left atrial (LA) fibrosis both pre- and post-radiofrequency 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 inter-observer variability. Quantification of scar can be used as an endpoint in clinical studies and therefore standardization is important. In this work, 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.
Original languageEnglish
Article number1800615
Pages (from-to)N/A
Number of pages15
JournalIEEE Journal of Translation Engineering in Health and Medicine
Volume2
Issue number1
DOIs
Publication statusPublished - Apr 2014

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