Paper Info
Title
Tessellation-based coarse registration method for 3D reconstruction of the female torso
Abstract
The medical procedures related with the Breast Cancer Conservative Treatment (BCCT) have evolved towards the usage of affordable and practical tools, along with the recent inclusion of volumetric information of the breast. A richer three-dimensional (3D) model of the female torso allows, for instance, improvement of the evaluation the aesthetic outcome of BCCT and the surgery planning. The standard 3D reconstruction methods often fail to model objects of interest using highly misaligned views. In this work, a Tessellation-based coarse registration method is proposed, based on robust keypoints extraction from RGB-D data using the Delaunay Triangulation (DT) principle. With this method, it is possible to reconstruct female torso data with detail using only 3 views, in feasible time. Structures such as the nipples and the breast contour were correctly reconstructed and a highly correlated with reference models.
Year
DOI
Venue
2014
10.1109/BIBM.2014.6999173
Bioinformatics and Biomedicine
Keywords
Field
DocType
cancer,image colour analysis,image registration,medical image processing,mesh generation,3D female torso model,3D reconstruction methods,BCCT,Delaunay triangulation principle,RGB-D data,Tessellation-based coarse registration method,breast cancer conservative treatment,breast contour,keypoints extraction,surgery planning
Torso,Computer vision,Histogram,Reference model,Computer science,Surgery planning,RGB color model,Artificial intelligence,Tessellation,3D reconstruction,Delaunay triangulation
Conference
ISSN
Citations 
PageRank 
2156-1125
4
0.55
References 
Authors
12
4
Name
Order
Citations
PageRank
Pedro Costa140.55
João P. Monteiro241.23
Hooshiar Zolfagharnasab362.74
Hélder P. Oliveira46313.99