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Proceedings Paper

High-resolution anisotropic 3D edge detector for medical images
Author(s): Shih-Ping Liou; Ajit Singh
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Paper Abstract

Advances in sensor and computer technology are resulting in an increased use of three-dimensional images in medical diagnosis. Three dimensional edge detection provides 3D anatomical representation that aids in planning and executing certain surgical procedures as well as in registering images of different modalities. Existing 3D edge detectors are 3D generalizations of 2D edge detectors. Most have limited resolution in boundary representation (subject to the resolution of imaging modality) and limited ability to directly deal with anisotropic sampling which occurs frequently in medical images. This paper presents a formal formulation of the 3D edge detection problem for anisotropically sampled images. Our approach differs from the previous approaches in the following ways: (1) a 3D edge detector is developed for data on anisotropic grids, (2) a modified version of the marching cube algorithm is used to locate the zero-crossings of the second-order derivatives, and (3) a connected component algorithm is developed for grouping zero- crossing surfaces into a set of disjoint surfaces. We show experimental results on many clinically acquired CT and MR images.

Paper Details

Date Published: 11 May 1994
PDF: 12 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175065
Show Author Affiliations
Shih-Ping Liou, Siemens Corporate Research, Inc. (United States)
Ajit Singh, Siemens Corporate Research, Inc. (United States)


Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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