loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Sandeep S. Kaushik and Jayanthi Sivaswamy

Affiliation: IIIT-Hyderabad, India

Keyword(s): Hippocampus, MRI segmentation, Water flow, Deep brain structure, Surface evolution, Region growing, 3D segmentation, Hippocampal volumetry.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: The most widely followed procedure for diagnosis and prognosis of dementia is structural neuroimaging of hippocampus by means of MR. Hippocampus segmentation is of wide interest as it enables quantitative assessment of the structure. In this paper, we propose an algorithm for hippocampus segmentation that is unsupervised and image driven. It is based on a hybrid approach which combines a coarse segmentation and surface evolution. A coarse solution is derived using region growing which is further refined using a modified version of the physics based water flow model (Liu and Nixon, 2007). The proposed method has been tested on a publicly available dataset. The performance of this method is assessed using Dice coefficient against the ground truth provided for 25 volume images. It is consistent across volumes and the average Dice values are comparable to a multi-atlas based method reported on a subset of the same dataset.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.238.228.191

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
S. Kaushik, S. and Sivaswamy, J. (2011). UNSUPERVISED 3D SEGMENTATION OF HIPPOCAMPUS IN BRAIN MR IMAGES. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS; ISBN 978-989-8425-35-5; ISSN 2184-4305, SciTePress, pages 182-187. DOI: 10.5220/0003145401820187

@conference{biosignals11,
author={Sandeep {S. Kaushik}. and Jayanthi Sivaswamy.},
title={UNSUPERVISED 3D SEGMENTATION OF HIPPOCAMPUS IN BRAIN MR IMAGES},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS},
year={2011},
pages={182-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003145401820187},
isbn={978-989-8425-35-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2011) - BIOSIGNALS
TI - UNSUPERVISED 3D SEGMENTATION OF HIPPOCAMPUS IN BRAIN MR IMAGES
SN - 978-989-8425-35-5
IS - 2184-4305
AU - S. Kaushik, S.
AU - Sivaswamy, J.
PY - 2011
SP - 182
EP - 187
DO - 10.5220/0003145401820187
PB - SciTePress