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Proceedings Paper

Deformable model reconstruction of the subarachnoid space
Author(s): Jeffrey Glaister; Muhan Shao; Xiang Li; Aaron Carass; Snehashis Roy; Ari M. Blitz; Jerry L. Prince; Lotta M. Ellingsen
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Paper Abstract

The subarachnoid space is a layer in the meninges that surrounds the brain and is filled with trabeculae and cerebrospinal fluid. Quantifying the volume and thickness of the subarachnoid space is of interest in order to study the pathogenesis of neurodegenerative diseases and compare with healthy subjects. We present an automatic method to reconstruct the subarachnoid space with subvoxel accuracy using a nested deformable model. The method initializes the deformable model using the convex hull of the union of the outer surfaces of the cerebrum, cerebellum and brainstem. A region force is derived from the subject’s T1-weighted and T2-weighted MRI to drive the deformable model to the outer surface of the subarachnoid space. The proposed method is compared to a semi-automatic delineation from the subject’s T2-weighted MRI and an existing multi-atlas-based method. A small pilot study comparing the volume and thickness measurements in a set of age-matched subjects with normal pressure hydrocephalus and healthy controls is presented to show the efficacy of the proposed method.

Paper Details

Date Published: 2 March 2018
PDF: 7 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 1057431 (2 March 2018); doi: 10.1117/12.2293633
Show Author Affiliations
Jeffrey Glaister, Johns Hopkins Univ. (United States)
Muhan Shao, Johns Hopkins Univ. (United States)
Xiang Li, Johns Hopkins Univ. (United States)
Aaron Carass, Johns Hopkins Univ. (United States)
Snehashis Roy, Henry M. Jackson Foundation (United States)
Ari M. Blitz, Johns Hopkins Univ. (United States)
Jerry L. Prince, Johns Hopkins Univ. (United States)
Lotta M. Ellingsen, Johns Hopkins Univ. (United States)
Univ. of Iceland (Iceland)


Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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