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Comparison of arterial spin labeling registration strategies in the multi-center GENetic frontotemporal dementia initiative (GENFI)

Authors :
Pietro Tiraboschi
Gemma Lombardi
Martin Rossor
Carmela Tartaglia
Cristina Polito
James Rowe
Rick Van Minkelen
Francesca Bendetta Pizzini
Robert Jr Laforce
Daniela Galimberti
Giovanni B. Frisoni
Jonathan Rohrer
Giorgio Giulio Fumagalli
Sebastien Ourselin
Carolina Maruta
Enrico De Vita
Elizabeth Finger
Miguel Castelo-Branco
Roberta Ghidoni
Matthias Van Osch
Sandro Sorbi
Alessandro Padovani
David Cash
Luisa Benussi
Caroline Graff
Henk Mutsaerts
Enrico Premi
David Thomas
Jan Petr
Bradley MacIntosh
SARA PRIONI
Marina Grisoli
Fabrizio Tagliavini
Martina Bocchetta
Andrea Arighi
Jason Warren
Benedetta NACMIAS
Lieke Meeter
Source :
Journal of Magnetic Resonance Imaging. 47:131-140
Publication Year :
2017
Publisher :
Wiley, 2017.

Abstract

Purpose: To compare registration strategies to align arterial spin labeling (ASL) with 3D T1-weighted (T1w) images, with the goal of reducing the between-subject variability of cerebral blood flow (CBF) images. Materials and Methods: Multi-center 3T ASL data were collected at eight sites with four different sequences in the multi-center GENetic Frontotemporal dementia Initiative (GENFI) study. In a total of 48 healthy controls, we compared the following image registration options: (I) which images to use for registration (perfusion-weighted images [PWI] to the segmented gray matter (GM) probability map (pGM) (CBF-pGM) or M0 to T1w (M0-T1w); (II) which transformation to use (rigid-body or non-rigid); and (III) whether to mask or not (no masking, M0-based FMRIB software library Brain Extraction Tool [BET] masking). In addition to visual comparison, we quantified image similarity using the Pearson correlation coefficient (CC), and used the Mann-Whitney U rank sum test. Results: CBF-pGM outperformed M0-T1w (CC improvement 47.2% ± 22.0%; P < 0.001), and the non-rigid transformation outperformed rigid-body (20.6% ± 5.3%; P < 0.001). Masking only improved the M0-T1w rigid-body registration (14.5% ± 15.5%; P = 0.007). Conclusion: The choice of image registration strategy impacts ASL group analyses. The non-rigid transformation is promising but requires validation. CBF-pGM rigid-body registration without masking can be used as a default strategy. In patients with expansive perfusion deficits, M0-T1w may outperform CBF-pGM in sequences with high effective spatial resolution. BET-masking only improves M0-T1w registration when the M0 image has sufficient contrast. Level of Evidence: 1. Technical Efficacy: Stage 1. J. Magn. Reson. Imaging 2018;47:131–140.

Details

ISSN :
10531807
Volume :
47
Database :
OpenAIRE
Journal :
Journal of Magnetic Resonance Imaging
Accession number :
edsair.doi...........31da8aae3dbe8dacfea83d58da912e4b