Biomedical Engineering Reference
In-Depth Information
1
T-SURFACES FRAMEWORK FOR OFFSET
GENERATION AND SEMIAUTOMATIC
3D SEGMENTATION
Gilson A. Giraldi, Rodrigo L.S. Silva,
Paulo S.S. Rodrigues, and Walter Jimenez
National Laboratory for Scientific Computing
Petropolis, Brazil
Edilberto Strauss and Antonio A.F. Oliveira
Federal University, Rio de Janeiro, Brazil
Jasjit S. Suri
Biomedical Research Institute, Idaho State
University, Pocatello, Idaho, USA
This chapter describes a new approach that integrates the T-Surfaces model and isosurface
generation methods in a general framework for segmentation and surface reconstruction
in 3D medical images. Besides, the T-Surfaces model is applied for offset generation in
the context of geometry extraction. T-Surfaces is a parametric deformable model based
on a triangulation of the image domain, a discrete surface model, and an image thresh-
old. Two types of isosurface generation methods are considered in this work: contin-
uation and marching. The continuation approach is useful during reparameterization of
T-Surfaces, while the latter is suitable to initialize the model closer the boundary. First, the
T-Surfaces grid and the threshold are used to define a coarser image resolution. This field
is thresholded to obtained a 0-1 function that is processed by a marching method to generate
