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Pregled bibliografske jedinice broj: 972391

Časopis

Autori: Leventić, Hrvoje; Babin, Danilo; Velicki, Lazar; Devos, Daniel; Galić, Irena; Zlokolica, Vladimir; Romić, Krešimir; Pižurica, Aleksandra
Naslov: Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure
Izvornik: Computers in Biology and Medicine (0010-4825) 104 (2019); 163-174
Vrsta rada: članak
Ključne riječi: Left atrial appendage ; Image segmentation ; Image analysis ; Left atrial appendage occlusion ; Left atrial appendage closure
Sažetak:
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.
Projekt / tema: HRZZ-UIP-2017-05-4968
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
MEDLINE
Scopus
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Interdisciplinarne biotehničke znanosti
URL Internet adrese: https://www.sciencedirect.com/science/article/pii/S0010482518303445
Broj citata:
Altmetric:
DOI: 10.1016/j.compbiomed.2018.11.006
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure
Upisao u CROSBI: Hrvoje Leventić (hrvoje.leventic@etfos.hr), 4. Pro. 2018. u 12:41 sati



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