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For sequential studies of patients with brain tumors, the authors have designed an automated registration procedure for intra- and interexamination alignment of magnetic resonance images. This was evaluated with artificially misregistered data and data from repeat studies of six healthy volunteers and six brain tumor patients. In a subset of cases, a manual procedure based on matching of neuroanatomic landmarks was also applied for comparison. The results showed that the technique is robust and reproducible, giving an accuracy in the range of 1-2 mm, which corresponded to the spatial resolution of the images. Subject motion between imaging sequences within the same study was negligible, although adjustments (one to two section thicknesses) were required in the z direction to correlate multisection and volume images and to allow accurate image segmentation. For alignment between sequential volunteer and patient examinations, translations of up to 22 mm and rotations in the x, y, and z axes of up to 9 degrees were required. This alignment procedure may be valuable in numerous aspects of treatment planning and patient follow-up.
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Sarah J. Nelson
University of California, San Francisco
Allen B. Nalbandian
University of California, San Francisco
Evelyn Proctor
National Humanities Center
Journal of Magnetic Resonance Imaging
University of California, San Francisco
Resonance Research (United States)
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Nelson et al. (Tue,) studied this question.
synapsesocial.com/papers/6a19848ff3c200df10587cda — DOI: https://doi.org/10.1002/jmri.1880040621