An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformation
Abstract Objectives To develop a quantitative analysis method for right diaphragm deformation. This method is based on optical flow and applied to diaphragm ultrasound imaging. Methods This study enrolls six healthy subjects and eight patients under mechanical ventilation. Dynamic images with 3–5 br...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-08-01
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| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-023-01066-7 |
| _version_ | 1797451056998776832 |
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| author | Qi Zhang Dawei Yang Yu Zhu Yatong Liu Xiong Ye |
| author_facet | Qi Zhang Dawei Yang Yu Zhu Yatong Liu Xiong Ye |
| author_sort | Qi Zhang |
| collection | DOAJ |
| description | Abstract Objectives To develop a quantitative analysis method for right diaphragm deformation. This method is based on optical flow and applied to diaphragm ultrasound imaging. Methods This study enrolls six healthy subjects and eight patients under mechanical ventilation. Dynamic images with 3–5 breathing cycles were acquired from three directions of right diaphragm by a portable ultrasound system. Filtering and density clustering algorithms are used for denoising Digital Imaging and Communications in Medicine (DICOM) data. An optical flow based method is applied to track movements of the right diaphragm. An improved drift correction algorithm is used to optimize the results. The method can automatically analyze the respiratory cycle, inter-frame/cumulative vertical and horizontal displacements, and strain of the input right diaphragm ultrasound image. Results The optical-flow-based diaphragm ultrasound image motion tracking algorithm can accurately track the right diaphragm during respiratory motion. There are significant differences in horizontal and vertical displacements in each section (p-values < 0.05 for all). Significant differences are found between healthy subjects and mechanical ventilation patients for both horizontal and vertical displacements in Section III (p-values < 0.05 for both). There is no significant difference in global strain in each section between healthy subjects and mechanical ventilation patients (p-values > 0.05 for all). Conclusions The developed method can quantitatively evaluate the inter-frame/cumulative displacement of the diaphragm in both horizontal and vertical directions, as well as the global strain in three different imaging planes. The above indicators can be used to evaluate diaphragmatic dynamics. |
| first_indexed | 2024-03-09T14:49:26Z |
| format | Article |
| id | doaj.art-8784283bf73147e289d261eae475916f |
| institution | Directory Open Access Journal |
| issn | 1471-2342 |
| language | English |
| last_indexed | 2024-03-09T14:49:26Z |
| publishDate | 2023-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Imaging |
| spelling | doaj.art-8784283bf73147e289d261eae475916f2023-11-26T14:35:10ZengBMCBMC Medical Imaging1471-23422023-08-012311910.1186/s12880-023-01066-7An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformationQi Zhang0Dawei Yang1Yu Zhu2Yatong Liu3Xiong Ye4School of Information Science and Engineering, East China University of Science and TechnologyDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan UniversitySchool of Information Science and Engineering, East China University of Science and TechnologySchool of Information Science and Engineering, East China University of Science and TechnologySchool of Clinical Medicine, Shanghai University of Medicine & Health SciencesAbstract Objectives To develop a quantitative analysis method for right diaphragm deformation. This method is based on optical flow and applied to diaphragm ultrasound imaging. Methods This study enrolls six healthy subjects and eight patients under mechanical ventilation. Dynamic images with 3–5 breathing cycles were acquired from three directions of right diaphragm by a portable ultrasound system. Filtering and density clustering algorithms are used for denoising Digital Imaging and Communications in Medicine (DICOM) data. An optical flow based method is applied to track movements of the right diaphragm. An improved drift correction algorithm is used to optimize the results. The method can automatically analyze the respiratory cycle, inter-frame/cumulative vertical and horizontal displacements, and strain of the input right diaphragm ultrasound image. Results The optical-flow-based diaphragm ultrasound image motion tracking algorithm can accurately track the right diaphragm during respiratory motion. There are significant differences in horizontal and vertical displacements in each section (p-values < 0.05 for all). Significant differences are found between healthy subjects and mechanical ventilation patients for both horizontal and vertical displacements in Section III (p-values < 0.05 for both). There is no significant difference in global strain in each section between healthy subjects and mechanical ventilation patients (p-values > 0.05 for all). Conclusions The developed method can quantitatively evaluate the inter-frame/cumulative displacement of the diaphragm in both horizontal and vertical directions, as well as the global strain in three different imaging planes. The above indicators can be used to evaluate diaphragmatic dynamics.https://doi.org/10.1186/s12880-023-01066-7DiaphragmOptical flowUltrasoundStrainDeformation |
| spellingShingle | Qi Zhang Dawei Yang Yu Zhu Yatong Liu Xiong Ye An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformation BMC Medical Imaging Diaphragm Optical flow Ultrasound Strain Deformation |
| title | An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformation |
| title_full | An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformation |
| title_fullStr | An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformation |
| title_full_unstemmed | An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformation |
| title_short | An optimized optical-flow-based method for quantitative tracking of ultrasound-guided right diaphragm deformation |
| title_sort | optimized optical flow based method for quantitative tracking of ultrasound guided right diaphragm deformation |
| topic | Diaphragm Optical flow Ultrasound Strain Deformation |
| url | https://doi.org/10.1186/s12880-023-01066-7 |
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