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

• Autor(a) principal: Morais, Pedro André Gonçalves
• Data de Publicação: 2018
• Outros Autores: Vilaça, João L., Queirós, Sandro Filipe Monteiro, Marchi, Alberto, Bourier, Felix, Deisenhofer, Isabel, D'hooge, Jan, Tavares, João Manuel R. S.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/1822/58200
• topic: 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; Ciências Médicas::Medicina Básica; Science & Technology

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).