Extraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative Study
Background: Since tumors located in thorax region of body mainly move due to respiration, in the modern radiotherapy, there have been many attempts such as; external markers, strain gage and spirometer represent for monitoring patients’ breathing signal. With the advent of fluoroscopy technique,...
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| Format: | Article |
| Language: | English |
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Shiraz University of Medical Sciences
2016-12-01
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| Series: | Journal of Biomedical Physics and Engineering |
| Subjects: | |
| Online Access: | http://www.jbpe.org/Journal_OJS/JBPE/index.php/jbpe/article/view/375/228 |
| _version_ | 1811253796006789120 |
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| author | Samadi Miandoab P. Esmaili Torshabi A. Nankali S. |
| author_facet | Samadi Miandoab P. Esmaili Torshabi A. Nankali S. |
| author_sort | Samadi Miandoab P. |
| collection | DOAJ |
| description | Background: Since tumors located in thorax region of body mainly move due to
respiration, in the modern radiotherapy, there have been many attempts such as; external
markers, strain gage and spirometer represent for monitoring patients’ breathing
signal. With the advent of fluoroscopy technique, indirect methods were proposed as
an alternative approach to extract patients’ breathing signals.
Materials and Methods: The purpose of this study is to extract respiratory
signals using two available methods based on clustering and intensity strategies on
medical image dataset of XCAT phantom.
Results: For testing and evaluation methods, correlation coefficient, standard division,
amplitude ratio and different phases are utilized. Phantom study showed excellent
match between correlation coefficient, standard division, amplitude ratio and
different phase. Both techniques segmenting medical images are robust due to their
inherent mathematical properties. Using clustering strategy, lung region borders are remarkably
extracted regarding intensity-based method. This may also affect the amount
of amplitude signal.
Conclusion: To evaluate the performance of these methods, results are compared
with slice body volume (SBV) method. Moreover, all methods have shown the same
correlation coefficient of 99%, but at different amplitude ratio and different phase. In
SBV method, standard division and different phase are better than clustering and intensity
methods with SDR=4.71 mm, and SDL=4.12 mm and average different phase
1.47 %, but amplitude ration of clustering method is significantly more remarkable
than SBV and intensity methods. |
| first_indexed | 2024-04-12T16:56:42Z |
| format | Article |
| id | doaj.art-646ddfef19e145f683aed41c4250dda6 |
| institution | Directory Open Access Journal |
| issn | 2251-7200 2251-7200 |
| language | English |
| last_indexed | 2024-04-12T16:56:42Z |
| publishDate | 2016-12-01 |
| publisher | Shiraz University of Medical Sciences |
| record_format | Article |
| series | Journal of Biomedical Physics and Engineering |
| spelling | doaj.art-646ddfef19e145f683aed41c4250dda62022-12-22T03:24:12ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002251-72002016-12-0164253264Extraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative StudySamadi Miandoab P.0 Esmaili Torshabi A.1Nankali S.2Medical Radiation Group, Department of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, IranMedical Radiation Group, Department of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, IranMedical Radiation Group, Department of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, IranBackground: Since tumors located in thorax region of body mainly move due to respiration, in the modern radiotherapy, there have been many attempts such as; external markers, strain gage and spirometer represent for monitoring patients’ breathing signal. With the advent of fluoroscopy technique, indirect methods were proposed as an alternative approach to extract patients’ breathing signals. Materials and Methods: The purpose of this study is to extract respiratory signals using two available methods based on clustering and intensity strategies on medical image dataset of XCAT phantom. Results: For testing and evaluation methods, correlation coefficient, standard division, amplitude ratio and different phases are utilized. Phantom study showed excellent match between correlation coefficient, standard division, amplitude ratio and different phase. Both techniques segmenting medical images are robust due to their inherent mathematical properties. Using clustering strategy, lung region borders are remarkably extracted regarding intensity-based method. This may also affect the amount of amplitude signal. Conclusion: To evaluate the performance of these methods, results are compared with slice body volume (SBV) method. Moreover, all methods have shown the same correlation coefficient of 99%, but at different amplitude ratio and different phase. In SBV method, standard division and different phase are better than clustering and intensity methods with SDR=4.71 mm, and SDL=4.12 mm and average different phase 1.47 %, but amplitude ration of clustering method is significantly more remarkable than SBV and intensity methods.http://www.jbpe.org/Journal_OJS/JBPE/index.php/jbpe/article/view/375/228Surrogate Breathing SignalMotion ManagementClustering MethodIntensity MethodSlice Body VolumeExternal Beam Radiotherapy |
| spellingShingle | Samadi Miandoab P. Esmaili Torshabi A. Nankali S. Extraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative Study Journal of Biomedical Physics and Engineering Surrogate Breathing Signal Motion Management Clustering Method Intensity Method Slice Body Volume External Beam Radiotherapy |
| title | Extraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative Study |
| title_full | Extraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative Study |
| title_fullStr | Extraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative Study |
| title_full_unstemmed | Extraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative Study |
| title_short | Extraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative Study |
| title_sort | extraction of respiratory signal based on image clustering and intensity parameters at radiotherapy with external beam a comparative study |
| topic | Surrogate Breathing Signal Motion Management Clustering Method Intensity Method Slice Body Volume External Beam Radiotherapy |
| url | http://www.jbpe.org/Journal_OJS/JBPE/index.php/jbpe/article/view/375/228 |
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