TY - JOUR
T1 - Interventional endocardial motion estimation from electroanatomical mapping data
T2 - Application to scar characterization
AU - Porras, Antonio R.
AU - Piella, Gemma
AU - Berruezo, Antonio
AU - Hoogendoorn, Corne
AU - Andreu, David
AU - Fernandez-Armenta, Juan
AU - Sitges, Marta
AU - Frangi, Alejandro F.
PY - 2013/5
Y1 - 2013/5
N2 - Scar presence and its characteristics play a fundamental role in several cardiac pathologies. To accurately define the extent and location of the scar is essential for a successful ventricular tachycardia ablation procedure. Nowadays, a set of widely accepted electrical voltage thresholds applied to local electrograms recorded are used intraoperatively to locate the scar. Information about cardiac mechanics could be considered to characterize tissues with different viability properties. We propose a novel method to estimate endocardial motion from data obtained with an electroanatomical mapping system together with the endocardial geometry segmented from preoperative 3-D magnetic resonance images, using a statistical atlas constructed with bilinear models. The method was validated using synthetic data generated from ultrasound images of nine volunteers and was then applied to seven ventricular tachycardia patients. Maximum bipolar voltages, commonly used to intraoperatively locate scar tissue, were compared to endocardial wall displacement and strain for all the patients. The results show that the proposed method allows endocardial motion and strain estimation and that areas with low-voltage electrograms also present low strain values.
AB - Scar presence and its characteristics play a fundamental role in several cardiac pathologies. To accurately define the extent and location of the scar is essential for a successful ventricular tachycardia ablation procedure. Nowadays, a set of widely accepted electrical voltage thresholds applied to local electrograms recorded are used intraoperatively to locate the scar. Information about cardiac mechanics could be considered to characterize tissues with different viability properties. We propose a novel method to estimate endocardial motion from data obtained with an electroanatomical mapping system together with the endocardial geometry segmented from preoperative 3-D magnetic resonance images, using a statistical atlas constructed with bilinear models. The method was validated using synthetic data generated from ultrasound images of nine volunteers and was then applied to seven ventricular tachycardia patients. Maximum bipolar voltages, commonly used to intraoperatively locate scar tissue, were compared to endocardial wall displacement and strain for all the patients. The results show that the proposed method allows endocardial motion and strain estimation and that areas with low-voltage electrograms also present low strain values.
KW - cathter ablation
KW - deformation estimation
KW - electro-anatomical mapping data
KW - scar characterization
KW - ventricular tachycardia
UR - http://www.scopus.com/inward/record.url?scp=84876779011&partnerID=8YFLogxK
U2 - 10.1109/TBME.2012.2230327
DO - 10.1109/TBME.2012.2230327
M3 - Article
C2 - 23204274
AN - SCOPUS:84876779011
SN - 0018-9294
VL - 60
SP - 1217
EP - 1224
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 5
ER -