3D geometry reconstruction from gray and RGB medical images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Talaia, P (Autor) FEUP; Parente, M (Autor) FEUP; Fernandes, A (Autor) FEUP; Natal Jorge, R (Autor) FEUP

Ata de Conferência Internacional

Título: COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING: VIPIMAGE 2011

Páginas: 297-301

3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE)

Olhao, PORTUGAL, OCT 12-14, 2011

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-008-2BQ

Abstract (EN): This work presents the modeling of human organs by means of 3D geometry reconstruction using medical images. The base images were obtained from the "Visible Human Project" (VHP) database. The first part of the work consists in image reconversion, color optimization and alignment. For process optimization, each organ is delimited in a box volume, for image cropping. The feature recognition is then performed for the organ in the selected volume. After features recognition, the aligned contours are extracted and a cloud point is generated for the organ in analysis. The geometry can then be generated from the obtained cloud points.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5