Automatic and Fast Whole Heart Segmentation for 3D Reconstruction
9th IEEE International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT 2022
; : 218-225, 2022.
Article
in English
| Scopus | ID: covidwho-2063286
ABSTRACT
Accurate and fast whole cardiac substructures segmentation from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) is crucial in developing clinical applications, such as computer-aided surgery and computer-aided diagnosis. However, the segmentation of different substructures is challenging because of the amount of data that should be annotated by experts, the diversity of sizes and shapes of cardiac substructures, and the complexity of the background. This work aims to develop an automatic and fast whole heart segmentation including all cardiac substructures as well as the great vessels. The proposed approach used mainly image processing methods that enable the heart segmentation from sagittal, axial, and coronal views to obtain a 3D reconstruction. Finally, the experiments are conducted on both Automated Cardiac Diagnosis Challenge and CT scans acquired from a patient with COVID-19 at the Cheikh Zaid International University Hospital in Rabat Morocco. © 2022 IEEE.
3D reconstruction; Automatic; Cardiac substructures; COVID-19; Fast; Whole heart segmentation; Computer aided diagnosis; Computerized tomography; Heart; Image reconstruction; Image segmentation; Magnetic resonance imaging; Cardiac substructure; Clinical application; Computer aided surgery; Heart segmentation; Image processing - methods; Size and shape; Whole heart segmentations
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
9th IEEE International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT 2022
Year:
2022
Document Type:
Article
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