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Pregled bibliografske jedinice broj: 972391

Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure


Leventić, Hrvoje; Babin, Danilo; Velicki, Lazar; Devos, Daniel; Galić, Irena; Zlokolica, Vladimir; Romić, Krešimir; Pižurica, Aleksandra
Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure // Computers in Biology and Medicine, 104 (2019), 163-174 doi:10.1016/j.compbiomed.2018.11.006 (međunarodna recenzija, članak, znanstveni)


Naslov
Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure

Autori
Leventić, Hrvoje ; Babin, Danilo ; Velicki, Lazar ; Devos, Daniel ; Galić, Irena ; Zlokolica, Vladimir ; Romić, Krešimir ; Pižurica, Aleksandra

Izvornik
Computers in Biology and Medicine (0010-4825) 104 (2019); 163-174

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Interdisciplinarne biotehničke znanosti



POVEZANOST RADA


Projekt / tema
HRZZ-UIP-2017-05-4968 - Metode za interpretaciju medicinskih snimki za detaljnu analizu zdravlja srca (Irena Galić, )

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek,
Sveučilište J. J. Strossmayera u Osijeku

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
  • Scopus
  • MEDLINE


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