Automatic measurement of extra-axial CSF from infant MRI data

Arthur LeMaout; Han Bit Yoon; Sun Hyung Kim; Mahmoud Mostapha; Mark D. Shen; Juan Prieto; Martin Styner

doi:10.1117/12.2550006

28 February 2020 Automatic measurement of extra-axial CSF from infant MRI data

Arthur LeMaout, Han Bit Yoon, Sun Hyung Kim, Mahmoud Mostapha, Mark D. Shen, Juan Prieto, Martin Styner

Proceedings Volume 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging; 113171I (2020) https://doi.org/10.1117/12.2550006
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

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.

Conference Presentation

Citation Download Citation

Arthur LeMaout, Han Bit Yoon, Sun Hyung Kim, Mahmoud Mostapha, Mark D. Shen, Juan Prieto, and Martin Styner "Automatic measurement of extra-axial CSF from infant MRI data", Proc. SPIE 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 113171I (28 February 2020); https://doi.org/10.1117/12.2550006

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