Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas

Muhan Shao*, Aaron Carass, Xiang Li, Blake E. Dewey, Ari M. Blitz, Jerry L. Prince, Lotta M. Ellingsen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Normal pressure hydrocephalus (NPH) is a brain disorder caused by disruption of the flow of cerebrospinal fluid (CSF). The dementia-like symptoms of NPH are often mistakenly attributed to Alzheimer's disease. However, if correctly diagnosed, NPH patients can potentially be treated and their symptoms reversed through surgery. Observing the dilated ventricles through magnetic resonance imaging (MRI) is one element in diagnosing NPH. Diagnostic accuracy therefore benefits from accurate, automatic parcellation of the ventricular system into its sub-compartments. We present an improvement to a whole brain segmentation approach designed for subjects with enlarged and deformed ventricles. Our method incorporates an adaptive ventricle atlas from an NPH-atlas-based segmentation as a prior and uses a more robust relaxation scheme for the multi-atlas label fusion approach that accurately labels the four sub-compartments of the ventricular system. We validated our method on NPH patients, demonstrating improvement over state-of-the-art segmentation techniques.

Original languageEnglish
Title of host publicationMedical Imaging 2018
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
EditorsBarjor Gimi, Andrzej Krol
PublisherSPIE
ISBN (Electronic)9781510616455
DOIs
Publication statusPublished - 2018
EventMedical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging - Houston, United States
Duration: 11 Feb 201813 Feb 2018

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10578
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
Country/TerritoryUnited States
CityHouston
Period11/02/1813/02/18

Bibliographical note

Funding Information:
This work was supported by the NIH/NINDS under grant R21-NS096497, the National Multiple Sclerosis Society grant RG-1507-05243, the Department of Defense in the Center for Neuroscience and Regenerative Medicine, and the Icelandic Centre for Research (RANNIS) under grant 173942051.

Publisher Copyright:
© 2018 SPIE.

Other keywords

  • enlarged brain ventricles
  • hydrocephalus
  • MRI
  • segmentation

Fingerprint

Dive into the research topics of 'Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas'. Together they form a unique fingerprint.

Cite this