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Bibliographic record number: 972391

Journal

Authors: Leventić, Hrvoje; Babin, Danilo; Velicki, Lazar; Devos, Daniel; Galić, Irena; Zlokolica, Vladimir; Romić, Krešimir; Pižurica, Aleksandra
Title: Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure
Source: Computers in Biology and Medicine (0010-4825) 104 (2019); 163-174
Paper type: article
Keywords: Left atrial appendage ; Image segmentation ; Image analysis ; Left atrial appendage occlusion ; Left atrial appendage closure
Abstract:
Background Percutaneous left atrial appendage (LAA) closure (placement of an occluder to close the appendage) is a novel procedure for stroke prevention in patients suffering from atrial fibrillation. The closure procedure planning requires accurate LAA measurements which can be obtained from computed tomography (CT) images. Method We propose a novel semi-automatic LAA segmentation method from 3D coronary CT angiography (CCTA) images. The method segments the LAA, proposes the location for the occluder placement (a delineation plane between the left atrium and LAA) and calculates measurements needed for closure procedure planning. The method requires only two inputs from the user: a threshold value and a single seed point inside the LAA. Proposed location of the delineation plane can be intuitively corrected if necessary. Measurements are calculated from the segmented LAA according to the final delineation plane. Results Performance of the proposed method is validated on 17 CCTA images, manually segmented by two medical doctors. We achieve the average dice coefficient overlap of 92.52% and 91.63% against the ground truth segmentations. The average dice coefficient overlap between the two ground truth segmentations is 92.66%. Our proposed LAA orifice localization is evaluated against the desired location of the LAA orifice determined by the expert. The average distance between our proposed location and the desired location is 2.51 mm. Conclusion Segmentation results show high correspondence to the ground truth segmentations. The occluder placement method shows high accuracy which indicates potential in clinical procedure planning.
Project / theme: HRZZ-UIP-2017-05-4968
Original language: ENG
Citation databases: Current Contents Connect (CCC)
MEDLINE
Scopus
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Category: Znanstveni
Research fields:
Computer science,Interdisciplinary biotechnical sciences
URL: https://www.sciencedirect.com/science/article/pii/S0010482518303445
Broj citata:
Altmetric:
DOI: 10.1016/j.compbiomed.2018.11.006
URL cjelovitog rada:
Journal in electronic form only:: NE
Google Scholar: Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure
Contrib. to CROSBI by: Hrvoje Leventić (hrvoje.leventic@etfos.hr), 4. Pro. 2018. u 12:41 sati



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