Paper
12 April 2005 3D geometrical segmentation and reconstruction of anatomical structures
G. Bueno, C. Flores, A. Martinez, P. Cosias
Author Affiliations +
Abstract
In this paper an improved method for 3D surface reconstruction from 2D images together with the 2D/3D segmentation method is presented. The method aims to model and parameterise anatomical structures previously segmented from medical images. The whole automatic method may be divided into segmentation and reconstruction, which is carried out in four steps: 1) Geodesic based segmentation of the anatomical structures under consideration, 2) Contour representation and simplification based on Douglas-Peucker algorithm, 3) Global 3D incremental Delaunay Triangulation and 4) a final sculpting process of the non-object tetrahedral. The sculpting process is based on the spatial information and contour parameterisation obtained in the segmentation stage. Our 3D reconstruction method is global and free of parameters, which is not the case of other 3D reconstruction techniques. Moreover, it allows to include at any time vertex and contour points information. Results for CT and MR images are presented. Geodesic 3D based segmentation is compared to the reconstruction result. A comparison between 3D reconstructions and 3D segmentation is presented.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Bueno, C. Flores, A. Martinez, and P. Cosias "3D geometrical segmentation and reconstruction of anatomical structures", Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); https://doi.org/10.1117/12.595368
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KEYWORDS
Image segmentation

3D modeling

Reconstruction algorithms

3D image processing

Computed tomography

3D acquisition

3D image reconstruction

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