Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker
Alzheimer’s disease (AD) represents the prevalent type of dementia in the elderly, and is characterized by the presence of neurofibrillary tangles and amyloid plaques that eventually leads to the loss of neurons, resulting in atrophy in specific brain areas. Although the process of degeneration can...
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| Format: | Article |
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MDPI AG
2018-05-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/6/1752 |
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| author | César A. Ortiz Toro Consuelo Gonzalo-Martín Angel García-Pedrero Ernestina Menasalvas Ruiz |
| author_facet | César A. Ortiz Toro Consuelo Gonzalo-Martín Angel García-Pedrero Ernestina Menasalvas Ruiz |
| author_sort | César A. Ortiz Toro |
| collection | DOAJ |
| description | Alzheimer’s disease (AD) represents the prevalent type of dementia in the elderly, and is characterized by the presence of neurofibrillary tangles and amyloid plaques that eventually leads to the loss of neurons, resulting in atrophy in specific brain areas. Although the process of degeneration can be visualized through various modalities of medical imaging and has proved to be a valuable biomarker, the accurate diagnosis of Alzheimer’s disease remains a challenge, especially in its early stages. In this paper, we propose a novel classification method for Alzheimer’s disease/cognitive normal discrimination in structural magnetic resonance images (MRI), based on the extension of the concept of histons to volumetric images. The proposed method exploits the relationship between grey matter, white matter and cerebrospinal fluid degeneration by means of a segmentation using supervoxels. The calculated histons are then processed for a reduction in dimensionality using principal components analysis (PCA) and the resulting vector is used to train an support vector machine (SVM) classifier. Experimental results using the OASIS-1 database have proven to be a significant improvement compared to a baseline classification made using the pipeline provided by Clinica software. |
| first_indexed | 2024-04-11T13:57:10Z |
| format | Article |
| id | doaj.art-832dee8b1d7a4cb7bca291342287490f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:57:10Z |
| publishDate | 2018-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-832dee8b1d7a4cb7bca291342287490f2022-12-22T04:20:13ZengMDPI AGSensors1424-82202018-05-01186175210.3390/s18061752s18061752Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging BiomarkerCésar A. Ortiz Toro0Consuelo Gonzalo-Martín1Angel García-Pedrero2Ernestina Menasalvas Ruiz3Centro de Tecnología Biomédica, Campus de Montegancedo, Universidad Politécnica de Madrid, 28233 Pozuelo de Alarcón, SpainCentro de Tecnología Biomédica, Campus de Montegancedo, Universidad Politécnica de Madrid, 28233 Pozuelo de Alarcón, SpainCentro de Tecnología Biomédica, Campus de Montegancedo, Universidad Politécnica de Madrid, 28233 Pozuelo de Alarcón, SpainCentro de Tecnología Biomédica, Campus de Montegancedo, Universidad Politécnica de Madrid, 28233 Pozuelo de Alarcón, SpainAlzheimer’s disease (AD) represents the prevalent type of dementia in the elderly, and is characterized by the presence of neurofibrillary tangles and amyloid plaques that eventually leads to the loss of neurons, resulting in atrophy in specific brain areas. Although the process of degeneration can be visualized through various modalities of medical imaging and has proved to be a valuable biomarker, the accurate diagnosis of Alzheimer’s disease remains a challenge, especially in its early stages. In this paper, we propose a novel classification method for Alzheimer’s disease/cognitive normal discrimination in structural magnetic resonance images (MRI), based on the extension of the concept of histons to volumetric images. The proposed method exploits the relationship between grey matter, white matter and cerebrospinal fluid degeneration by means of a segmentation using supervoxels. The calculated histons are then processed for a reduction in dimensionality using principal components analysis (PCA) and the resulting vector is used to train an support vector machine (SVM) classifier. Experimental results using the OASIS-1 database have proven to be a significant improvement compared to a baseline classification made using the pipeline provided by Clinica software.http://www.mdpi.com/1424-8220/18/6/1752Alzheimer’s diseasehistonsuperpixelssupervoxelsMRIPCASVMclassification |
| spellingShingle | César A. Ortiz Toro Consuelo Gonzalo-Martín Angel García-Pedrero Ernestina Menasalvas Ruiz Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker Sensors Alzheimer’s disease histon superpixels supervoxels MRI PCA SVM classification |
| title | Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker |
| title_full | Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker |
| title_fullStr | Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker |
| title_full_unstemmed | Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker |
| title_short | Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker |
| title_sort | supervoxels based histon as a new alzheimer s disease imaging biomarker |
| topic | Alzheimer’s disease histon superpixels supervoxels MRI PCA SVM classification |
| url | http://www.mdpi.com/1424-8220/18/6/1752 |
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