CALL FOR PAPERS Special Issue of Computer Vision and Image Understanding on Analysis of Volumetric Images Papers are solicited on topics related to analysis of volumetric images. Volumetric images are images represented by three- or higher- dimensional arrays. These are generated by imaging devices such as medical scanners or simulation procedures. This special issue is devoted to methods that analyze such images. Emphasis will be on techniques that analyze volumetric images as a whole rather than slice by slice. General algebraic, geometric, statistical, topological and structural techniques independent of application are of interest, although innovative techniques that use knowledge about images in a particular domain to analyze images in that domain will also be considered. Topics: 0. Image Representation 1. Edge Detection 2. Image Segmentation 3. Feature Selection 4. Image Matching 5. Object Recognition 6. Texture Analysis 7. Elastic and other Models 8. Motion Analysis 9. Invariance 10. Evaluation of Image Segmentation Techniques 11. Surveys Important Dates: Paper Submission: December 1, 1998 Notification of Initial Acceptance: May 15, 1999 Deadline for Receiving Revised Papers: August 1, 1999 Notification of Final Acceptance: October 1, 1999 Publication Date: December 1999 Paper Submission: Send five copies of your paper to one of the guest editors: Ardeshir Goshtasby, PhD 303 Russ Engineering Center Department of Computer Science and Engineering Wright State University Dayton, OH 45435 Milan Sonka, PhD Department of Electrical and Computer Engineering 2104 EB The University of Iowa Iowa City, IA 52242 Jayaram Udupa, PhD Medical Image Processing Group Department of Radiology University of Pennsylvania Medical Center 423 Guardian Drive Blockley Hall, 4th Floor Philadelphia, PA 19104-6021 For further information, please contact: Ardeshir Goshtasby (agoshtas@cs.wright.edu) Milan Sonka (milan-sonka@uiowa.edu) Jayaram Udupa (jay@mipg.upenn.edu) For manuscript style, please refer to Information for Authors in an issue of Computer Vision and Image Understanding.