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  2. Master Thesis / Tesis Master
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Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/457818
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dc.contributor.advisorAshrani Aizzuddin Abd. Rahni, Dr.
dc.contributor.authorMohammed Sameer Mahmmood (P71185)
dc.date.accessioned2023-09-12T09:13:51Z-
dc.date.available2023-09-12T09:13:51Z-
dc.date.issued2021-02-15
dc.identifier.otherukmvital:123010
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/457818-
dc.descriptionIn recent years there has been a significant research interest in developing new tools to monitor and track respiratory and body motion during diagnostic image acquisition and external beam radiotherapy. However, even though these tools can provide accurate measurement of the patient body motion or respiratory motion, most of these tools are either expensive (USD 10,000 −100,000), large, unreliable, or compromise patient throughput through set-up time. Therefore, the use of a non-contact method for motion tracking is highly attractive. Depth cameras can perform this measurement in 3D, which contributes to the recent specific interest in their use for this purpose. This work aims to evaluate the accuracy of the respiratory motion of two versions (version 1 and version 2) of a currently popular depth camera, the Microsoft KinectTM. The measurements acquired from several volunteers at different distances within the cameras' operational range. The depth camera measurements compared against an alternative respiratory measurement method i.e., a respiratory belt, during concurrent measurements using both methods (depth camera and belt). A correlation analysis performed to quantitatively compare the depth camera measurements against the respiratory belt measurements. The results show an acceptable amount of correlation with the respiratory belt, which decreases with increasing camera distance. Statistical analysis shows no significant difference between the two versions of the KinectTM in their correlation with the belt. Although the accuracy limits the use of the KinectTM in this application for distances more than 1 meter, the results show that it will still be applicable in set-ups where it is possible to position the KinectTM within 1 – 2 meter from the patient.,Master of Science
dc.language.isoeng
dc.publisherUKM, Bangi
dc.relationFaculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina
dc.rightsUKM
dc.subjectUniversiti Kebangsaan Malaysia -- Dissertations
dc.subjectDissertations, Academic -- Malaysia
dc.subjectRespiratory motion tracking
dc.subjectDiagnostic image
dc.titleEvaluating the accuracy of low cost depth cameras for 1D and 3D respiratory motion tracking
dc.typetheses
dc.format.pages71
dc.identifier.barcode005637(2021)(PL2)
Appears in Collections:Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

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