Paper
14 September 1993 Computer-aided techniques for aligning interleaved sets of nonidentical medical images
Evan D. Morris, Gary James Muswick, Edward S. Ellert, Robert N. Steagall, Peter F. Goyer, William E. Semple
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Evan D. Morris, Gary James Muswick, Edward S. Ellert, Robert N. Steagall, Peter F. Goyer, and William E. Semple "Computer-aided techniques for aligning interleaved sets of nonidentical medical images", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154499
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Cited by 7 scholarly publications.
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KEYWORDS
Image segmentation

Magnetic resonance imaging

Brain

Image processing

Positron emission tomography

Head

Data acquisition

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