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Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI
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 sho...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487389/ https://www.ncbi.nlm.nih.gov/pubmed/34608408 http://dx.doi.org/10.1155/2021/3937222 |
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author | Ren, Xiaogang Wu, Yue Cao, Zhiying |
author_facet | Ren, Xiaogang Wu, Yue Cao, Zhiying |
author_sort | Ren, Xiaogang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8487389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-84873892021-10-03 Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI Ren, Xiaogang Wu, Yue Cao, Zhiying J Healthc Eng Research Article 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. Hindawi 2021-09-25 /pmc/articles/PMC8487389/ /pubmed/34608408 http://dx.doi.org/10.1155/2021/3937222 Text en Copyright © 2021 Xiaogang Ren et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ren, Xiaogang Wu, Yue Cao, Zhiying Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI |
title | Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI |
title_full | Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI |
title_fullStr | Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI |
title_full_unstemmed | Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI |
title_short | Hippocampus Segmentation Method Based on Subspace Patch-Sparsity Clustering in Noisy Brain MRI |
title_sort | hippocampus segmentation method based on subspace patch-sparsity clustering in noisy brain mri |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487389/ https://www.ncbi.nlm.nih.gov/pubmed/34608408 http://dx.doi.org/10.1155/2021/3937222 |
work_keys_str_mv | AT renxiaogang hippocampussegmentationmethodbasedonsubspacepatchsparsityclusteringinnoisybrainmri AT wuyue hippocampussegmentationmethodbasedonsubspacepatchsparsityclusteringinnoisybrainmri AT caozhiying hippocampussegmentationmethodbasedonsubspacepatchsparsityclusteringinnoisybrainmri |