Conference Paper
Automatic Spinal Deformity Detection by Two Characteristic Axes.
In proceeding of: Proceedings of IAPR Workshop on Machine Vision Applications, MVA 1996, November 1214, 1996, Tokyo, Japan
Source: DBLP
 Citations (4)
 Cited In (0)

Conference Paper: Employing Symmetric Subsets for Identifying Asymmetry of Human Skulls.
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ABSTRACT: This paper describes a technique for analyzing shapes with potential symmetry employing symmetric subsets. The proposed technique assumes that the shapes interested have potential bilateral symmetry. The notion of potential symmetry is given to those shapes with approximate or original symmetry. As respective examples, we can imagine a human face and a partial broken vase. Although their symmetric structures need be identified for their meaninghl analysis, very few researchers have ever discussed symmetry identification of those shapes with established symmetry finding technique such as the one employing moments of inertia (3) is applied to finding the plane of symmetry on a skull, the obtained plane will surely disagree with the plane one expects because of the asymmetry of the skull. Therefore the proposed technique is applied to the detection of its plane of symmetry. Identification of asymmetric part and evaluation of the a.cymmetry degree are then performed employing the plane of symmetry. Experimental results are shown based on CT images of a human head and discussion is given. potential symmetry. The present paper proposes a technique for identifying 2. OVERVIEW OF THE SYSTEM planes of symmetry on the shapes with potential bilateral symmetry employing the idea of symmetric subsets. The proposed technique is applied to asymmetry analysis of human skulls, and some experimental results employing real CT images of human heads are shown with discussion.Proceedings of IAPR Workshop on Machine Vision Applications, MVA 1994, December 1315, 1994, Kawasaki, Japan; 01/1994 
Conference Paper: A Method of Analyzing a Shape with Potential Symmetry and Its Application to Detecting Spinal Deformity.
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ABSTRACT: This paper describes a technique for analyzing a shape with potential symmetry which includes approximate symmetry and original symmetry. A technique is proposed for identifying a symmetry axis of a shape with potential axial symmetry by searching for the largest symmetric subset of the shape. It is applied to the axial detection and asymmetry evaluation of Moire topographic images of human backs to automate spinal deformity inspection. Some experimental results are shown and discussion is given.Computer Vision, Virtual Reality and Robotics in Medicine, First International Conference, CVRMed'95, Nice, France, April 36, 1995, Proceedings; 01/1995 
Conference Paper: A knowledge based system for diagnosing spinal deformations: moire pattern analysis and interpretation
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ABSTRACT: For young people, spinal deformations are an evolving process which must be detected and treated as early as possible. The moire technique is quite simple, not expensive, not aggressive and well suited to the detection of spinal rotations. Therefore, a computer vision system for recognition of spinal deformations would be very useful for decision support. The authors present a knowledgebased system for diagnosing spinal deformations from human back moire image. To realize this computer system, the approach consists of extracting fringe contours from moire images using the infinite size symmetric exponential filter which is an optimal smoothing filter, then localizing some relevant elements such as the centers of shoulderblades and the spinal column to make measurement which are crucial for the diagnosis process, and finally performing 3D reconstruction and diagnosisPattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on; 01/1992
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