Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions

• Author(s): Morais, Pedro André Gonçalves ; Vilaça, João L. ; Queirós, Sandro Filipe Monteiro ; Marchi, Alberto ; Bourier, Felix ; Deisenhofer, Isabel ; D'hooge, Jan ; Tavares, João Manuel R. S.
• Date: 2018
• Persistent ID: https://hdl.handle.net/1822/58200
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Algorithms; Atrial Fibrillation; Automation; Heart Atria; Heart Septum; Humans; Imaging, Three-Dimensional; Models, Anatomic; Observer Variation; Radiotherapy Planning, Computer-Assisted; Reproducibility of Results; Software; Image Processing, Computer-Assisted; Tomography, X-Ray Computed; Image segmentation; Cardiac intervention planning; Inter-atrial wall interventions; Competitive segmentation strategy; Atlas-based initialization
• Document Type: Journal article
• Language: English
• Contributor(s): Universidade do Minho

Description

Image-fusion strategies have been applied to improve inter-atrial septal (IAS) wall minimally-invasive interventions. Hereto, several landmarks are initially identified on richly-detailed datasets throughout the planning stage and then combined with intra-operative images, enhancing the relevant structures and easing the procedure. Nevertheless, such planning is still performed manually, which is time-consuming and not necessarily reproducible, hampering its regular application. In this article, we present a novel automatic strategy to segment the atrial region (left/right atrium and aortic tract) and the fossa ovalis (FO).