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Abstract #1597

Deformable Registration of In Vivo Human Spine Magnetic Resonance Imaging Using Scale Invariant Feature Transform (SIFT) Algorithm

Dong-Hoon Lee1,2, Do-Wan Lee3,4,5, Yong Hyun Chung2, and Bong-Soo Han2

1Brain and Mind Centre, University of Sydney, Sydney, Australia, 2Department of Radiological Science, Yonsei University, Wonju, Korea, Republic of, 3Ewha Brain Institute, Ewha Womans University, Seoul, Korea, Republic of, 4Department of Biomedical Engineering, The Catholic University of Korea College of Medicine, Seoul, Korea, Republic of, 5Research Institute of Biomedical Engineering, The Catholic University of Korea, Seoul, Korea, Republic of

Deformable registration process for in vivo human spine MR images can provide the crucial information to investigate the diagnostic performance and treatment effects of pathologies. Here, based on the scale invariant feature transform (SIFT) algorithm, we attempted to evaluate the deformable registration process for spine images, and compared with commercially mounted algorithm in MRI system. The results qualitatively and quantitatively showed fine results, and clearly showed the reproducibility of the use of SIFT algorithm compared with commercially mounted stitching algorithm on MRI system. Our approach can be helpful for the extension of other medical imaging modalities for image deformable registration.

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