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

• Autor(es): 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.
• Data: 2018
• Identificador Persistente: https://hdl.handle.net/1822/58200
• Origem: RepositóriUM - Universidade do Minho
• Assunto(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
• Tipo de Documento: Artigo científico
• Idioma: Inglês
• Contribuidor(es): Universidade do Minho

Descrição

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).