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Proceedings Paper

Computer-aided techniques for aligning interleaved sets of nonidentical medical images
Author(s): Evan D. Morris; Gary James Muswick; Edward S. Ellert; Robert N. Steagall; Peter F. Goyer; William E. Semple
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Paper Abstract

We have developed an X-window based, interactive manual technique for aligning medical images of the brain. Our methods were designed to allow easy correction of artifacts that resulted from motion during the acquisition of interleaved sets of MR images. Real-time feedback about the alignment of the data volume proved helpful to the user in obtaining a satisfactory correction. This feedback was possible by focussing on a limited number of slices at one time. Contrary to intuition, the observed motion artifact was primarily found to occur in one direction. Elimination of said artifact, however, required sub-pixel translation of images. We also did some preliminary work on automated extensions of our manual alignment technique. These automated algorithms utilized mathematical morphology for segmenting the brain and a 2-dimensional implementation of the Principal Axes technique for re-alignment of the segmented images.

Paper Details

Date Published: 14 September 1993
PDF: 12 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154499
Show Author Affiliations
Evan D. Morris, Case Western Reserve Univ. Medical School (United States)
Gary James Muswick, Univ. Hospitals of Cleveland (United States)
Edward S. Ellert, Univ. Hospitals of Cleveland (United States)
Robert N. Steagall, Univ. Hospitals of Cleveland (United States)
Peter F. Goyer, Case Western Reserve Univ. Medical School (United States)
William E. Semple, Case Western Reserve Univ. Medical School (United States)

Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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