Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI
Open Access
- 25 September 2021
- journal article
- retracted article
- Published by Hindawi Limited in Journal of Healthcare Engineering
- Vol. 2021, 1-10
- https://doi.org/10.1155/2021/3937222
Abstract
Since the hippocampus is of small size, low contrast, and irregular shape, a novel hippocampus segmentation method based on subspace patch-sparsity clustering in brain MRI is proposed to improve the segmentation accuracy, which requires that the representation coefficients in different subspaces should be as sparse as possible, while the representation coefficients in the same subspace should be as average as possible. By restraining the coefficient matrix with the patch-sparse constraint, the coefficient matrix contains a patch-sparse structure, which is helpful to the hippocampus segmentation. The experimental results show that our proposed method is effective in the noisy brain MRI data, which can well deal with hippocampus segmentation problem.Keywords
Funding Information
- Health and Family Planning Commission of Changshu (csws201820)
This publication has 26 references indexed in Scilit:
- A generative probability model of joint label fusion for multi-atlas based brain segmentationMedical Image Analysis, 2013
- Fully-automated approach to hippocampus segmentation using a graph-cuts algorithm combined with atlas-based segmentation and morphological openingMagnetic Resonance Imaging, 2013
- Novel Fast Marching for Automated Segmentation of the Hippocampus (FMASH): Method and validation on clinical dataNeuroImage, 2011
- Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentationNeuroImage, 2011
- Nearly automatic segmentation of hippocampal subfields in in vivo focal T2-weighted MRINeuroImage, 2010
- Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: Method and validationNeuroImage, 2009
- Appearance and incomplete label matching for diffeomorphic template based hippocampus segmentationHippocampus, 2009
- Parametric surface modeling and registration for comparison of manual and automated segmentation of the hippocampusHippocampus, 2009
- Hippocampus segmentation in MR images using atlas registration, voxel classification, and graph cutsNeuroImage, 2008
- Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairmentNeuroImage, 2005