3D geometry reconstruction from gray and RGB medical images

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

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

Conference proceedings International

Title: COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING: VIPIMAGE 2011

Pages: 297-301

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

Olhao, PORTUGAL, OCT 12-14, 2011

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Scopus - 1 Citation

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5