Literature DB >> 30347332

Mind the gap: Quantification of incomplete ablation patterns after pulmonary vein isolation using minimum path search.

Marta Nuñez-Garcia1, Oscar Camara2, Mark D O'Neill3, Reza Razavi3, Henry Chubb3, Constantine Butakoff2.   

Abstract

Pulmonary vein isolation (PVI) is a common procedure for the treatment of atrial fibrillation (AF) since the initial trigger for AF frequently originates in the pulmonary veins. A successful isolation produces a continuous lesion (scar) completely encircling the veins that stops activation waves from propagating to the atrial body. Unfortunately, the encircling lesion is often incomplete, becoming a combination of scar and gaps of healthy tissue. These gaps are potential causes of AF recurrence, which requires a redo of the isolation procedure. Late-gadolinium enhanced cardiac magnetic resonance (LGE-CMR) is a non-invasive method that may also be used to detect gaps, but it is currently a time-consuming process, prone to high inter-observer variability. In this paper, we present a method to semi-automatically identify and quantify ablation gaps. Gap quantification is performed through minimum path search in a graph where every node is a scar patch and the edges are the geodesic distances between patches. We propose the Relative Gap Measure (RGM) to estimate the percentage of gap around a vein, which is defined as the ratio of the overall gap length and the total length of the path that encircles the vein. Additionally, an advanced version of the RGM has been developed to integrate gap quantification estimates from different scar segmentation techniques into a single figure-of-merit. Population-based statistical and regional analysis of gap distribution was performed using a standardised parcellation of the left atrium. We have evaluated our method on synthetic and clinical data from 50 AF patients who underwent PVI with radiofrequency ablation. The population-based analysis concluded that the left superior PV is more prone to lesion gaps while the left inferior PV tends to have less gaps (p < .05 in both cases), in the processed data. This type of information can be very useful for the optimization and objective assessment of PVI interventions.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ablation gap; Atrial fibrillation; Distance transform; Geodesic distance; Minimal path search; Pulmonary vein isolation

Mesh:

Substances:

Year:  2018        PMID: 30347332     DOI: 10.1016/j.media.2018.10.001

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  2 in total

Review 1.  Applications of multimodality imaging for left atrial catheter ablation.

Authors:  Caroline H Roney; Charles Sillett; John Whitaker; Jose Alonso Solis Lemus; Iain Sim; Irum Kotadia; Mark O'Neill; Steven E Williams; Steven A Niederer
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2021-12-18       Impact factor: 6.875

2.  CemrgApp: An interactive medical imaging application with image processing, computer vision, and machine learning toolkits for cardiovascular research.

Authors:  Orod Razeghi; José Alonso Solís-Lemus; Angela W C Lee; Rashed Karim; Cesare Corrado; Caroline H Roney; Adelaide de Vecchi; Steven A Niederer
Journal:  SoftwareX       Date:  2020-07-31
  2 in total

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