title: Interventional endocardial motion estimation from electroanatomical mapping data: application to scar characterization.
abstract: 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.
authors.affiliation: Center for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona 08018, Spain. antonio.porras@upf.edu
authors.forename: Antonio R
authors.initials: AR
authors.lastname: Porras
authors.forename: Gemma
authors.initials: G
authors.lastname: Piella
authors.forename: Antonio
authors.initials: A
authors.lastname: Berruezo
authors.forename: Corne
authors.initials: C
authors.lastname: Hoogendoorn
authors.forename: David
authors.initials: D
authors.lastname: Andreu
authors.forename: Juan
authors.initials: J
authors.lastname: Fernandez-Armenta
authors.forename: Marta
authors.initials: M
authors.lastname: Sitges
authors.forename: Alejandro F
authors.initials: AF
authors.lastname: Frangi
mesh_terms: D000368:Aged; D017115:Catheter Ablation; D002921:Cicatrix / Q000473:pathology / Q000503:physiopathology; D003198:Computer Simulation; D004452:Echocardiography; D004562:Electrocardiography / Q000379:methods*; D004699:Endocardium / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D017180:Tachycardia, Ventricular / Q000503:physiopathology