Using Perfusion Contrast for Spatial Normalization of ASL MRI Images in a Pediatric Craniosynostosis Population

Spatial normalization is an important step for group image processing and evaluation of mean brain perfusion in anatomical regions using arterial spin labeling (ASL) MRI and is typically performed via high-resolution structural brain scans. However, structural segmentation and/or spatial normalizati...

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Main Authors: Catherine A. de Planque, Henk J. M. M. Mutsaerts, Vera C. Keil, Nicole S. Erler, Marjolein H. G. Dremmen, Irene M. J. Mathijssen, Jan Petr
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Neuroscience
Subjects:
ASL
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.698007/full
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spelling doaj-adb9cf3feedb4c5cae52bf0c8af5ea842021-07-19T08:17:37ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2021-07-011510.3389/fnins.2021.698007698007Using Perfusion Contrast for Spatial Normalization of ASL MRI Images in a Pediatric Craniosynostosis PopulationCatherine A. de Planque0Henk J. M. M. Mutsaerts1Vera C. Keil2Nicole S. Erler3Nicole S. Erler4Marjolein H. G. Dremmen5Irene M. J. Mathijssen6Jan Petr7Jan Petr8Department of Plastic and Reconstructive Surgery and Hand Surgery, University Medical Center Rotterdam, Rotterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, NetherlandsDepartment of Biostatistics, University Medical Center Rotterdam, Rotterdam, NetherlandsDepartment of Epidemiology, Erasmus Medical Center, Rotterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Rotterdam, NetherlandsDepartment of Plastic and Reconstructive Surgery and Hand Surgery, University Medical Center Rotterdam, Rotterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, NetherlandsHelmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, GermanySpatial normalization is an important step for group image processing and evaluation of mean brain perfusion in anatomical regions using arterial spin labeling (ASL) MRI and is typically performed via high-resolution structural brain scans. However, structural segmentation and/or spatial normalization to standard space is complicated when gray-white matter contrast in structural images is low due to ongoing myelination in newborns and infants. This problem is of particularly clinical relevance for imaging infants with inborn or acquired disorders that impair normal brain development. We investigated whether the ASL MRI perfusion contrast is a viable alternative for spatial normalization, using a pseudo-continuous ASL acquired using a 1.5 T MRI unit (GE Healthcare). Four approaches have been compared: (1) using the structural image contrast, or perfusion contrast with (2) rigid, (3) affine, and (4) nonlinear transformations – in 16 healthy controls [median age 0.83 years, inter-quartile range (IQR) ± 0.56] and 36 trigonocephaly patients (median age 0.50 years, IQR ± 0.30) – a non-syndromic type of craniosynostosis. Performance was compared quantitatively using the real-valued Tanimoto coefficient (TC), visually by three blinded readers, and eventually by the impact on regional cerebral blood flow (CBF) values. For both patients and controls, nonlinear registration using perfusion contrast showed the highest TC, at 17.51 (CI 6.66–49.38) times more likely to have a higher rating and 17.45–18.88 ml/100 g/min higher CBF compared with the standard normalization. Using perfusion-based contrast improved spatial normalization compared with the use of structural images, significantly affected the regional CBF, and may open up new possibilities for future large pediatric ASL brain studies.https://www.frontiersin.org/articles/10.3389/fnins.2021.698007/fullASLsegmentationregistrationspatial normalizationpediatriccraniosynostosis
collection DOAJ
language English
format Article
sources DOAJ
author Catherine A. de Planque
Henk J. M. M. Mutsaerts
Vera C. Keil
Nicole S. Erler
Nicole S. Erler
Marjolein H. G. Dremmen
Irene M. J. Mathijssen
Jan Petr
Jan Petr
spellingShingle Catherine A. de Planque
Henk J. M. M. Mutsaerts
Vera C. Keil
Nicole S. Erler
Nicole S. Erler
Marjolein H. G. Dremmen
Irene M. J. Mathijssen
Jan Petr
Jan Petr
Using Perfusion Contrast for Spatial Normalization of ASL MRI Images in a Pediatric Craniosynostosis Population
Frontiers in Neuroscience
ASL
segmentation
registration
spatial normalization
pediatric
craniosynostosis
author_facet Catherine A. de Planque
Henk J. M. M. Mutsaerts
Vera C. Keil
Nicole S. Erler
Nicole S. Erler
Marjolein H. G. Dremmen
Irene M. J. Mathijssen
Jan Petr
Jan Petr
author_sort Catherine A. de Planque
title Using Perfusion Contrast for Spatial Normalization of ASL MRI Images in a Pediatric Craniosynostosis Population
title_short Using Perfusion Contrast for Spatial Normalization of ASL MRI Images in a Pediatric Craniosynostosis Population
title_full Using Perfusion Contrast for Spatial Normalization of ASL MRI Images in a Pediatric Craniosynostosis Population
title_fullStr Using Perfusion Contrast for Spatial Normalization of ASL MRI Images in a Pediatric Craniosynostosis Population
title_full_unstemmed Using Perfusion Contrast for Spatial Normalization of ASL MRI Images in a Pediatric Craniosynostosis Population
title_sort using perfusion contrast for spatial normalization of asl mri images in a pediatric craniosynostosis population
publisher Frontiers Media S.A.
series Frontiers in Neuroscience
issn 1662-453X
publishDate 2021-07-01
description Spatial normalization is an important step for group image processing and evaluation of mean brain perfusion in anatomical regions using arterial spin labeling (ASL) MRI and is typically performed via high-resolution structural brain scans. However, structural segmentation and/or spatial normalization to standard space is complicated when gray-white matter contrast in structural images is low due to ongoing myelination in newborns and infants. This problem is of particularly clinical relevance for imaging infants with inborn or acquired disorders that impair normal brain development. We investigated whether the ASL MRI perfusion contrast is a viable alternative for spatial normalization, using a pseudo-continuous ASL acquired using a 1.5 T MRI unit (GE Healthcare). Four approaches have been compared: (1) using the structural image contrast, or perfusion contrast with (2) rigid, (3) affine, and (4) nonlinear transformations – in 16 healthy controls [median age 0.83 years, inter-quartile range (IQR) ± 0.56] and 36 trigonocephaly patients (median age 0.50 years, IQR ± 0.30) – a non-syndromic type of craniosynostosis. Performance was compared quantitatively using the real-valued Tanimoto coefficient (TC), visually by three blinded readers, and eventually by the impact on regional cerebral blood flow (CBF) values. For both patients and controls, nonlinear registration using perfusion contrast showed the highest TC, at 17.51 (CI 6.66–49.38) times more likely to have a higher rating and 17.45–18.88 ml/100 g/min higher CBF compared with the standard normalization. Using perfusion-based contrast improved spatial normalization compared with the use of structural images, significantly affected the regional CBF, and may open up new possibilities for future large pediatric ASL brain studies.
topic ASL
segmentation
registration
spatial normalization
pediatric
craniosynostosis
url https://www.frontiersin.org/articles/10.3389/fnins.2021.698007/full
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