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Proceedings Paper

Lateral ventricle morphology analysis via mean latitude axis
Author(s): Beatriz Paniagua; Amanda Lyall; Jean-Baptiste Berger; Clement Vachet; Robert M. Hamer; Sandra Woolson; Weili Lin; John Gilmore; Martin Styner
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Paper Abstract

Statistical shape analysis has emerged as an insightful method for evaluating brain structures in neuroimaging studies, however most shape frameworks are surface based and thus directly depend on the quality of surface alignment. In contrast, medial descriptions employ thickness information as alignment-independent shape metric. We propose a joint framework that computes local medial thickness information via a mean latitude axis from the well-known spherical harmonic (SPHARM-PDM) shape framework. In this work, we applied SPHARM derived medial representations to the morphological analysis of lateral ventricles in neonates. Mild ventriculomegaly (MVM) subjects are compared to healthy controls to highlight the potential of the methodology. Lateral ventricles were obtained from MRI scans of neonates (9-144 days of age) from 30 MVM subjects as well as age- and sex-matched normal controls (60 total). SPHARM-PDM shape analysis was extended to compute a mean latitude axis directly from the spherical parameterization. Local thickness and area was straightforwardly determined. MVM and healthy controls were compared using local MANOVA and compared with the traditional SPHARM-PDM analysis. Both surface and mean latitude axis findings differentiate successfully MVM and healthy lateral ventricle morphology. Lateral ventricles in MVM neonates show enlarged shapes in tail and head. Mean latitude axis is able to find significant differences all along the lateral ventricle shape, demonstrating that local thickness analysis provides significant insight over traditional SPHARM-PDM. This study is the first to precisely quantify 3D lateral ventricle morphology in MVM neonates using shape analysis.

Paper Details

Date Published: 29 March 2013
PDF: 7 pages
Proc. SPIE 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, 86720M (29 March 2013); doi: 10.1117/12.2006846
Show Author Affiliations
Beatriz Paniagua, The Univ. of North Carolina at Chapel Hill (United States)
Amanda Lyall, The Univ. of North Carolina at Chapel Hill (United States)
Jean-Baptiste Berger, The Univ. of North Carolina at Chapel Hill (United States)
Clement Vachet, The Univ. of Utah (United States)
Robert M. Hamer, The Univ. of North Carolina at Chapel Hill (United States)
Sandra Woolson, The Univ. of North Carolina at Chapel Hill (United States)
Weili Lin, The Univ. of North Carolina School of Medicine (United States)
John Gilmore, The Univ. of North Carolina at Chapel Hill (United States)
Martin Styner, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 8672:
Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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