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Education
B.S., Electronics Engineering
University of Tokyo (1974)
M.S., Computer Science
University of Kentucky (1975)
Ph.D., Computer Science
Michigan State University (1983)
Dr. Goshtasby joined the department in Sept. 1995. Previously, he was with the Department of Electrical Engineering and Computer Science, University of Illinois, Chicago. His areas of research are Computer Vision, Pattern Recognition, Computer Graphics, Geometric Modeling, and Medical Image Analysis. He has developed various methods for registration of video images, temporal images, multimodality images, and volumetric images. His research results have been published in a monograph entitled 2-D and 3-D Image Registration for Medical, Remote Sensing, and Industrial Applications. He has also edited four journal special issues on the topics of image registration, image fusion, and volumetric images.
Among other research accomplishments of Dr. Goshtasby are new formulations for free-form parametric curves and surfaces, called rational Gaussian curves and surfaces, for free-form design and data fitting. These curves and surface not only can design 2-D and 3-D shapes at varying levels of detail, they can recover 2-D and 3-D shapes from varying density of irregularly spaced points.
Selected Publications
A. Goshtasby and M. Satter, An adaptive window mechanism for image smoothing Computer Vision and Image Understanding, vol. 111, 2008, 155-169.
A. Goshtasby and S. Nikolov, Image fusion: Advances in the state of the art, Information Fusion, vol. 8, 2007, pp. 114-118.
L. Zagorchev and A. Goshtasby, A comparative study of transformation functions for nonrigid image registration, IEEE Trans. Image Processing, vol. 15, no. 3, 2006, 529-538.
Active Research Projects
Registration of multiparametric MR spine images (with Kenneth Weiss, MD, UC Medical Center)
Registration of serial PET/CT images (with Martin Satter, PhD, Kettering Medical Center)
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Research Interests
Image and video understanding, medical image analysis, geometric modeling, curves and surfaces, multimodal image capture and fusion
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