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Volumetric Analysis of Multi-demensional Images

		By Bob Nidever in Latest Additions Published: Tuesday, 25 November 08 - 10:21 PM (GMT)

UCLA investigators have identified an effective and accurate algorithm for calculating the volume and surface of irregularly shaped 3D structures from points selected on an image. This method can be used to calculate geometric information for a wide range of multi-dimensional objects and has been tested accurately on calculating the size of brain aneurysms.

Researchers at UCLA have identified a modified illusory surface algorithm that uses the curvature and a few points on the surface of an irregular 3D object to accurately calculate its volume. By segmenting images given to the computer using user-selected points, the algorithm quickly and accurately obtains geometrical information about the structure with minimal user interaction. After the algorithm has calculated its estimate of the volume, a new image can be generated with the calculated data for comparison to the original image, verifying the accuracy of the calculations visually. This imaging system can segment and compute the geometry of aneurysms, tumors, thromboses, inflammations, foreign objects, organs and any other structures which can be identified in images or reconstructed into 3D objects. MORE [2008-681]
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