Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection
Hyperspectral imaging (HSI) is an optical remote sensing technology that has the advantages of high spatial and spectral resolution. Aside from its use in geographical research, HSI has been widely used in medical diagnosis. Systemic sclerosis (SSc) is a multiorgan autoimmune disease that leads to s...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9439474/ |
| _version_ | 1818409291980210176 |
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| author | Hsian-Min Chen Kuo-Lung Lai Hsin-Hua Chen Jun-Peng Chen Chiu-Chin Sung Yi-Ming Chen |
| author_facet | Hsian-Min Chen Kuo-Lung Lai Hsin-Hua Chen Jun-Peng Chen Chiu-Chin Sung Yi-Ming Chen |
| author_sort | Hsian-Min Chen |
| collection | DOAJ |
| description | Hyperspectral imaging (HSI) is an optical remote sensing technology that has the advantages of high spatial and spectral resolution. Aside from its use in geographical research, HSI has been widely used in medical diagnosis. Systemic sclerosis (SSc) is a multiorgan autoimmune disease that leads to skin tightness, thickness, and fibrosis. Internal organ involvement and mortality in this progressive disease are strongly correlated with the extent and severity of abnormal skin thickness. Our prior study demonstrated that HSI can outperform conventional assessment tools as a diagnostic modality to evaluate the severity of skin sclerosis in SSc patients. However, the analysis algorithm has its limitations. This study aimed to investigate a novel soft abundance score for HSI. We also explored the influence of band selection on the HSI analysis of SSc patients. In total, we enrolled 30 SSc patients (male: 10; female: 20, median age±range, 49.9±17.0 years) and 24 healthy controls (male: 12; female: 12, median age±range, 37.0±11.0 years). We found that most of the spectral bands generated by different band selection methods were similar. Moreover, in the task of distinguishing SSc patients from healthy controls, the soft abundance scores calculated from these bands exhibited greater discriminative power than a spectral angle mapper (SAM), skin scores determined by clinical assessments, or skin thickness determined through ultrasonography. Our results suggest that the spectral bands selected in this study should be taken into consideration to guide future hardware improvement. The analytic algorithm can also be applied as a new clinical method. |
| first_indexed | 2024-12-14T09:57:18Z |
| format | Article |
| id | doaj.art-0cf3ab99ea994367895eebffb4248d3b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T09:57:18Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0cf3ab99ea994367895eebffb4248d3b2022-12-21T23:07:20ZengIEEEIEEE Access2169-35362021-01-019802758028710.1109/ACCESS.2021.30829189439474Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band SelectionHsian-Min Chen0https://orcid.org/0000-0002-8409-3237Kuo-Lung Lai1Hsin-Hua Chen2Jun-Peng Chen3Chiu-Chin Sung4Yi-Ming Chen5https://orcid.org/0000-0001-7593-3065Department of Medical Research, Division of Translational Medicine, Taichung Veterans General Hospital, Taichung, TaiwanDivision of Allergy, Immunology and Rheumatology, Taichung Veterans General Hospital, Taichung, TaiwanDepartment of Medical Research, Division of Translational Medicine, Taichung Veterans General Hospital, Taichung, TaiwanDepartment of Medical Research, Division of Translational Medicine, Taichung Veterans General Hospital, Taichung, TaiwanDepartment of Medical Research, Division of Translational Medicine, Taichung Veterans General Hospital, Taichung, TaiwanDepartment of Medical Research, Division of Translational Medicine, Taichung Veterans General Hospital, Taichung, TaiwanHyperspectral imaging (HSI) is an optical remote sensing technology that has the advantages of high spatial and spectral resolution. Aside from its use in geographical research, HSI has been widely used in medical diagnosis. Systemic sclerosis (SSc) is a multiorgan autoimmune disease that leads to skin tightness, thickness, and fibrosis. Internal organ involvement and mortality in this progressive disease are strongly correlated with the extent and severity of abnormal skin thickness. Our prior study demonstrated that HSI can outperform conventional assessment tools as a diagnostic modality to evaluate the severity of skin sclerosis in SSc patients. However, the analysis algorithm has its limitations. This study aimed to investigate a novel soft abundance score for HSI. We also explored the influence of band selection on the HSI analysis of SSc patients. In total, we enrolled 30 SSc patients (male: 10; female: 20, median age±range, 49.9±17.0 years) and 24 healthy controls (male: 12; female: 12, median age±range, 37.0±11.0 years). We found that most of the spectral bands generated by different band selection methods were similar. Moreover, in the task of distinguishing SSc patients from healthy controls, the soft abundance scores calculated from these bands exhibited greater discriminative power than a spectral angle mapper (SAM), skin scores determined by clinical assessments, or skin thickness determined through ultrasonography. Our results suggest that the spectral bands selected in this study should be taken into consideration to guide future hardware improvement. The analytic algorithm can also be applied as a new clinical method.https://ieeexplore.ieee.org/document/9439474/Hyperspectral imaging soft abundance score (HSISAS)band selection (BS)systemic sclerosis (SSc)skin thickness |
| spellingShingle | Hsian-Min Chen Kuo-Lung Lai Hsin-Hua Chen Jun-Peng Chen Chiu-Chin Sung Yi-Ming Chen Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection IEEE Access Hyperspectral imaging soft abundance score (HSISAS) band selection (BS) systemic sclerosis (SSc) skin thickness |
| title | Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection |
| title_full | Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection |
| title_fullStr | Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection |
| title_full_unstemmed | Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection |
| title_short | Hyperspectral Imaging Assessment of Systemic Sclerosis Using the Soft Abundance Score and Band Selection |
| title_sort | hyperspectral imaging assessment of systemic sclerosis using the soft abundance score and band selection |
| topic | Hyperspectral imaging soft abundance score (HSISAS) band selection (BS) systemic sclerosis (SSc) skin thickness |
| url | https://ieeexplore.ieee.org/document/9439474/ |
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