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2018 | OriginalPaper | Buchkapitel

Voxel-Wise Analysis of Paediatric Liver MRI

verfasst von : Ged Ridgway, Kamil Janowski, Andrea Dennis, Velicia Bachtiar, John McGonigle, Chris Everitt, Angela Darekar, David Breen, Dan Green, Stefan Neubauer, Rajarshi Banerjee, Piotr Socha, Sir Michael Brady

Erschienen in: Medical Image Understanding and Analysis

Verlag: Springer International Publishing

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Abstract

Paediatric liver disease is a growing problem, which would benefit from non-invasive techniques for early detection and treatment monitoring. Multiparametric quantitative MRI has shown promise for measuring liver steatosis, inflammation and fibrosis in adults, but is likely to need modification for children. The Kids4LIFe project (NCT03198104) aims to adapt and validate LiverMultiScan\(^\mathrm{TM}\) from Perspectum Diagnostics for paediatric applications, characterising healthy liver development and a range of diseases. The analysis of LiverMultiScan\(^\mathrm{TM}\) images usually focuses on a few regions of interest, or on distributional features of the segmented liver parenchyma. The present work is an initial investigation into the use of voxel-wise statistical analysis in atlas space, following nonlinear image registration, with the aim of localising effects (developmental or disease-related), as commonly done in neuroimaging. Preliminary results show statistically significant effects that warrant further characterisation, and suggest atlas-based analysis is a useful complement to current approaches.

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Fußnoten
2
SPM12 revision 7219, http://​www.​fil.​ion.​ucl.​ac.​uk/​spm, under MATLAB R2017a.
 
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Metadaten
Titel
Voxel-Wise Analysis of Paediatric Liver MRI
verfasst von
Ged Ridgway
Kamil Janowski
Andrea Dennis
Velicia Bachtiar
John McGonigle
Chris Everitt
Angela Darekar
David Breen
Dan Green
Stefan Neubauer
Rajarshi Banerjee
Piotr Socha
Sir Michael Brady
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-95921-4_7