Quantitative Ultrasound Texture Analysis to Assess the Spastic Muscles in Stroke Patients
This study aimed to investigate the feasibility of sonoelastography for determining echotexture in post-stroke patients. Moreover, the relationships of muscle echotexture features, muscle stiffness, and functional performance in spastic muscle were explored. The study population comprised 22 males w...
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MDPI AG
2020-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/1/11 |
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| author | Peng-Ta Liu Ta-Sen Wei Congo Tak-Shing Ching |
| author_facet | Peng-Ta Liu Ta-Sen Wei Congo Tak-Shing Ching |
| author_sort | Peng-Ta Liu |
| collection | DOAJ |
| description | This study aimed to investigate the feasibility of sonoelastography for determining echotexture in post-stroke patients. Moreover, the relationships of muscle echotexture features, muscle stiffness, and functional performance in spastic muscle were explored. The study population comprised 22 males with stroke. The echotexture features (entropy and energy) of the biceps brachii muscles (BBM) in both arms were extracted by local binary pattern (LBP) from ultrasound images, whereas the stiffness of BBM was assessed by shear wave velocity (SWV) in the transverse and longitudinal planes. The Fugl–Meyer assessment (FMA) was used to assess the functional performance of the upper arm. The results showed that echotexture was more inhomogeneous in the paretic BBM than in the non-paretic BBM. SWV was significantly faster in paretic BBM than in non-paretic BBM. Both echotexture features were significantly correlated with SWV in the longitudinal plane. The feature of energy was significantly negatively correlated with FMA in the longitudinal plane and was significantly positively correlated with the duration from stroke onset in the transverse plane. The echotexture extracted by LBP may be a promising approach for quantitative assessment of the spastic BBM in post-stroke patients. |
| first_indexed | 2024-03-10T13:51:00Z |
| format | Article |
| id | doaj.art-28974a4876d84812b9ec26353fef5f88 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T13:51:00Z |
| publishDate | 2020-12-01 |
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| spelling | doaj.art-28974a4876d84812b9ec26353fef5f882023-11-21T02:07:33ZengMDPI AGApplied Sciences2076-34172020-12-011111110.3390/app11010011Quantitative Ultrasound Texture Analysis to Assess the Spastic Muscles in Stroke PatientsPeng-Ta Liu0Ta-Sen Wei1Congo Tak-Shing Ching2Graduate Institute of Biomedical Engineering, National Chung Hsing University, Taichung 402, TaiwanFall Prevention Center and Department of Physical Medicine & Rehabilitation, Changhua Christian Hospital, Changhua 500, TaiwanGraduate Institute of Biomedical Engineering, National Chung Hsing University, Taichung 402, TaiwanThis study aimed to investigate the feasibility of sonoelastography for determining echotexture in post-stroke patients. Moreover, the relationships of muscle echotexture features, muscle stiffness, and functional performance in spastic muscle were explored. The study population comprised 22 males with stroke. The echotexture features (entropy and energy) of the biceps brachii muscles (BBM) in both arms were extracted by local binary pattern (LBP) from ultrasound images, whereas the stiffness of BBM was assessed by shear wave velocity (SWV) in the transverse and longitudinal planes. The Fugl–Meyer assessment (FMA) was used to assess the functional performance of the upper arm. The results showed that echotexture was more inhomogeneous in the paretic BBM than in the non-paretic BBM. SWV was significantly faster in paretic BBM than in non-paretic BBM. Both echotexture features were significantly correlated with SWV in the longitudinal plane. The feature of energy was significantly negatively correlated with FMA in the longitudinal plane and was significantly positively correlated with the duration from stroke onset in the transverse plane. The echotexture extracted by LBP may be a promising approach for quantitative assessment of the spastic BBM in post-stroke patients.https://www.mdpi.com/2076-3417/11/1/11echotexturelocal binary pattern (LBP)shear wave velocityspasticitystroke |
| spellingShingle | Peng-Ta Liu Ta-Sen Wei Congo Tak-Shing Ching Quantitative Ultrasound Texture Analysis to Assess the Spastic Muscles in Stroke Patients Applied Sciences echotexture local binary pattern (LBP) shear wave velocity spasticity stroke |
| title | Quantitative Ultrasound Texture Analysis to Assess the Spastic Muscles in Stroke Patients |
| title_full | Quantitative Ultrasound Texture Analysis to Assess the Spastic Muscles in Stroke Patients |
| title_fullStr | Quantitative Ultrasound Texture Analysis to Assess the Spastic Muscles in Stroke Patients |
| title_full_unstemmed | Quantitative Ultrasound Texture Analysis to Assess the Spastic Muscles in Stroke Patients |
| title_short | Quantitative Ultrasound Texture Analysis to Assess the Spastic Muscles in Stroke Patients |
| title_sort | quantitative ultrasound texture analysis to assess the spastic muscles in stroke patients |
| topic | echotexture local binary pattern (LBP) shear wave velocity spasticity stroke |
| url | https://www.mdpi.com/2076-3417/11/1/11 |
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