Automatic Measurement of Extra-Axial CSF from Infant MRI Data.
Journal
Proceedings of SPIE--the International Society for Optical Engineering
ISSN: 0277-786X
Titre abrégé: Proc SPIE Int Soc Opt Eng
Pays: United States
ID NLM: 101524122
Informations de publication
Date de publication:
Feb 2020
Feb 2020
Historique:
entrez:
31
7
2020
pubmed:
31
7
2020
medline:
31
7
2020
Statut:
ppublish
Résumé
The quantification of cerebrospinal fluid (CSF) in the human brain has shown to play an important role in early postnatal brain development. Extra-axial fluid (EA-CSF), which is characterized by CSF in the subarachnoid space, is a promising marker for the early detection of children at risk for neurodevelopmental disorders, such as Autism Spectrum Disorder (ASD). Yet, non-ventricular CSF quantification, in particular extra-axial CSF quantification, is not supported in the major neuro-imaging software solutions, such as FreeSurfer. Most current structural image analysis packages mask out the extra-axial CSF space in one of the first pre-processing steps. A quantitative protocol was previously developed by our group to objectively measure the volume of total EA-CSF volume using a pipeline workflow implemented in a series of python scripts. While this solution worked for our specific lab, a graphical user interface-based tool is necessary to facilitate the computation of extra-axial CSF volume across a wide array of neuroimaging studies and research labs. This paper presents the development of a novel open-source, cross-platform, user-friendly software tool, called Auto-EACSF, for the automatic computation of such extra-axial CSF volume. Auto-EACSF allows neuroimaging labs to quantify extra-axial CSF in their neuroimaging studies in order to investigate its role in normal and atypical brain development.
Identifiants
pubmed: 32728309
doi: 10.1117/12.2550006
pmc: PMC7388182
mid: NIHMS1607136
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NICHD NIH HHS
ID : U54 HD079124
Pays : United States
Organisme : NICHD NIH HHS
ID : K12 HD001441
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD055741
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB021391
Pays : United States
Organisme : NICHD NIH HHS
ID : P50 HD103573
Pays : United States
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