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Patch Based Tech Med Imaging (2017). 2017 Sep;10530:20-28. doi: 10.1007/978-3-319-67434-6_3. Epub 2017 Aug 31.

Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients.

Author information

1
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
2
Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA.
3
Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, MD 21287, USA.
4
CNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA.
5
Department of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland.

Abstract

Numerous brain disorders are associated with ventriculomegaly; normal pressure hydrocephalus (NPH) is one example. NPH presents with dementia-like symptoms and is often misdiagnosed as Alzheimer's due to its chronic nature and nonspecific presenting symptoms. However, unlike other forms of dementia NPH can be treated surgically with an over 80% success rate on appropriately selected patients. Accurate assessment of the ventricles, in particular its sub-compartments, is required to diagnose the condition. Existing segmentation algorithms fail to accurately identify the ventricles in patients with such extreme pathology. We present an improvement to a whole brain segmentation approach that accurately identifies the ventricles and parcellates them into four sub-compartments. Our work is a combination of patch-based tissue segmentation and multi-atlas registration-based labeling. We include a validation on NPH patients, demonstrating superior performance against state-of-the-art methods.

KEYWORDS:

Brain; Enlarged ventricles; Hydrocephalus; MRI

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