Real-Time Optical Motion Correction for Diffusion Tensor Imaging
Aksoy M, Forman C, Straka M, Skare S, Holdsworth S, Hornegger J, Bammer R (2011)
Publication Type: Journal article
Publication year: 2011
Journal
Publisher: Wiley-Blackwell
Book Volume: 66
Pages Range: 366-378
Journal Issue: 2
URI: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Aksoy11-ROM.pdf
DOI: 10.1002/mrm.22787
Abstract
Head motion is a fundamental problem in brain MRI. The problem is further compounded in diffusion tensor imaging because of long acquisition times, and the sensitivity of the tensor computation to even small misregistration. To combat motion artifacts in diffusion tensor imaging, a novel real-time prospective motion correction method was introduced using an in-bore monovision system. The system consists of a camera mounted on the head coil and a self-encoded checkerboard marker that is attached to the patient's forehead. Our experiments showed that optical prospective motion correction is more effective at removing motion artifacts compared to image-based retrospective motion correction. Statistical analysis revealed a significant improvement in similarity between diffusion data acquired at different time points when prospective correction was used compared to retrospective correction (P < 0.001). © 2011 Wiley-Liss, Inc.
Authors with CRIS profile
Christoph Forman
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Joachim Hornegger
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Involved external institutions
Sweden (SE)
United States (USA) (US)How to cite
APA:
Aksoy, M., Forman, C., Straka, M., Skare, S., Holdsworth, S., Hornegger, J., & Bammer, R. (2011). Real-Time Optical Motion Correction for Diffusion Tensor Imaging. Magnetic Resonance in Medicine, 66(2), 366-378. https://dx.doi.org/10.1002/mrm.22787
MLA:
Aksoy, Murat, et al. "Real-Time Optical Motion Correction for Diffusion Tensor Imaging." Magnetic Resonance in Medicine 66.2 (2011): 366-378.
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