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System and method for performing a three-dimensional virtual examination of objects, such as internal organs

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TLDR
In this paper, a volume visualization technique for generating a 3D visualization image of an internal organ using volume visualization techniques is presented. But this technique is not suitable for the visualization of complex 3D objects.
Abstract
Methods for generating a three-dimensional visualization image of an object, such as an internal organ, using volume visualization techniques are provided. The techniques include a multi-scan imaging method; a multi-resolution imaging method; and a method for generating a skeleton of a complex three dimension object. The applications include virtual cystoscopy, virtual laryngoscopy, virtual angiography, among others.

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References
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Proceedings ArticleDOI

Inclusion of a priori information in segmentation of colon lumen for 3D virtual colonoscopy

TL;DR: This work developed a computer algorithm to segment out the residual fluid after the image intensity of the fluid has been enhanced by ingesting an adequate amount of contrasting solution of Diatrizoate Meglumine and DiatRIzoate Sodium.
Proceedings ArticleDOI

3D digital cleansing using segmentation rays

TL;DR: A novel approach for segmentation and digital cleansing of endoscopic organs that uses the peculiar characteristics exhibited by the intersection of any two distinct-intensity regions to detect these intersections and uses volumetric contrast enhancement to reconstruct surface lost by segmentation (if any), which aids in improving the quality of the volume rendering.
Proceedings ArticleDOI

Tree-branch-searching multiresolution approach to skeletonization for virtual endoscopy

TL;DR: In this paper, a multistage skeletonization method for tree-like volumes, such as airway system, blood vessels, and colon, was presented by appropriately defining the distance between voxels, the distance to the root from each voxel in the volume can be effectively determined with means of region growing techniques.
Patent

Accurate estimation of surface normals in 3-D data sets

TL;DR: In this article, a covariance matrix whose matrix elements along the diagonal are indicative of a rate of variance along each axis and whose other matrix values indicate a rate variance relative to pairs of axes is defined.
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Method for detecting shapes in medical images

TL;DR: In this paper, a computer-implemented method for automatically detecting shapes in a medical image is provided, based on the concept that normals to a surface intersect or nearly intersect with neighboring normals depending on the curvature features of the surface.