Brain ventricular morphology analysis using a set of ventricular-specific feature descriptors

Jaeil Kim, Hojin Ryoo, Maria del C. Valdés Hernández, Natalie A. Royle, Jinah Park

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

1 Scopus citations

Abstract

Morphological changes of the brain lateral ventricles are known to be a marker of brain atrophy. Anatomically, each lateral ventricle has three horns, which extend into the different parts (i.e. frontal, occipital and temporal lobes) of the brain; their deformations can be associated with morphological alterations of the surrounding structures and they are revealed as complex patterns of their shape variations across subjects. In this paper, we propose a novel approach for the ventricular morphometry using structural feature descriptors, defined on the 3D shape model of the lateral ventricles, to characterize its shape, namely width, length and bending of individual horns and relative orientations between horns. We also demonstrate the descriptive ability of our feature-based morphometry through statistical analyses on a clinical dataset from a study of aging.

Original languageEnglish
Title of host publicationBiomedical Simulation - 6th International Symposium, ISBMS 2014, Proceedings
EditorsFernando Bello, Stéphane Cotin, Stéphane Cotin
PublisherSpringer Verlag
Pages141-149
Number of pages9
ISBN (Electronic)9783319120560
DOIs
StatePublished - 2014
Event6th International Symposium on Biomedical Simulation, ISBMS 2014 - Strasbourg, France
Duration: 16 Oct 201417 Oct 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8789
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Biomedical Simulation, ISBMS 2014
Country/TerritoryFrance
CityStrasbourg
Period16/10/1417/10/14

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