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
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8789)

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.

Keywords

Standard Deviation Lateral Ventricle Feature Descriptor Temporal Horn Statistical Shape Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jaeil Kim
    • 1
  • Hojin Ryoo
    • 1
  • Maria del C. Valdés Hernández
    • 2
  • Natalie A. Royle
    • 2
  • Jinah Park
    • 1
  1. 1.Department of Computer ScienceKorea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea
  2. 2.Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK

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