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

TY - JOUR

T1 - A Method to Standardize Quantification of Left Atrial Scar from Delayed-Enhancement MR Images

AU - Karim, Rashed

AU - Arujuna, Aruna

AU - Housden, James

AU - Gill, Jaspal

AU - Cliffe, Hannah

AU - Matharu, Kavir

AU - Gill, Jaswinder

AU - Rinaldi, C. Aldo

AU - O'Neill, Mark

AU - Rueckert, Daniel

AU - Razavi, Reza

AU - Schaeffter, Tobias

AU - Rhode, Kawal

PY - 2014/4

Y1 - 2014/4

N2 - 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.

AB - 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.

U2 - 10.1109/JTEHM.2014.2312191

DO - 10.1109/JTEHM.2014.2312191

M3 - Article

VL - 2

SP - N/A

JO - IEEE Journal of Translation Engineering in Health and Medicine

JF - IEEE Journal of Translation Engineering in Health and Medicine

IS - 1

M1 - 1800615

ER -