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  Estimating the bias associated with image registration in MRI

Metere, R., Bazin, P.-L., & Möller, H. E. (2017). Estimating the bias associated with image registration in MRI. Poster presented at ISMRM 25th Annual Meeting & Exhibition, Honolulu, HI.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-BCD5-8 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-C10D-4
Genre: Poster

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 Creators:
Metere, Riccardo1, Author              
Bazin, Pierre-Louis2, Author              
Möller, Harald E.1, Author              
Affiliations:
1Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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 Abstract: The most promising techniques for understanding the biophysical basis of the MRI signals rely on combining multi-modal quantitative maps as a source of spatially-resolved information. If the MRI maps are not obtained from simultaneous acquisitions, they need to be co-registered in order to ensure a consistent localization of the signal sources for pixel-by-pixel fitting. However, the effects of the co-registration step are notoriously difficult to quantify. Here, we present a method for investigating the bias associated with co-registration for different quantitative MRI acquisitions, and outline the relevance of these biases for multi-parameter analysis.

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 Dates: 2017-04-24
 Publication Status: Not specified
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Title: ISMRM 25th Annual Meeting & Exhibition
Place of Event: Honolulu, HI
Start-/End Date: 2017-04-22 - 2017-04-27

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Title: Proceedings of the International Society for Magnetic Resonance in Medicine (2017)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 1281 Start / End Page: - Identifier: -