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dc.contributor.authorDashtbani Moghari, Mahdieh
dc.contributor.authorNoonan, Philip
dc.contributor.authorHenry, David
dc.contributor.authorFulton, Roger R.
dc.contributor.authorYoung, Noel
dc.contributor.authorKyme, Andre
dc.date.accessioned2021-01-07T05:12:59Z
dc.date.available2021-01-07T05:12:59Z
dc.date.issued2019en_AU
dc.identifier.urihttps://hdl.handle.net/2123/24251
dc.description.abstractA combination of non-contrast CT (NCCT) and CT Perfusion (CTP) imaging is the most common regime for evaluation of acute ischemic stroke patients. CTP-based image analysis is known to be compromised by patient head motion. However, there is currently no technique to compensate for intra-frame head motion during CTP acquisition. In this work, we investigated the feasibility of using the small form factor Intel RealSense D415 stereo depth camera to obtain accurate head pose estimates for intra-frame motion correction in CTP. First, we quantitatively evaluated head movement in a cohort of 72 acute stroke cases. Then we characterized the performance of the Intel D415 against ground-truth robotic motion and the clinically validated OptiTrack marker-based motion tracking system. The results showed that head motion during CTP imaging of acute stroke of patients is extremely common, with around 50% of patients moving > 5 mm and 1 deg and around 20% moving 10-100 mm and rotating 3-20 deg. The pose accuracy of the Intel for controlled robotic motion was approximately 5 mm and 2 deg. For translations and rotations, respectively. For human head motion using the OptiTrack as ground truth, the accuracy was approximately 4 mm (except for lateral motion) and 1.25 deg, respectively. Although poorer than what is needed clinically, there is a lot of potential to optimize performance and potentially achieve an accuracy consistently around 1 mm and 1 deg.en_AU
dc.language.isoenen_AU
dc.publisherIEEEen_AU
dc.relation.ispartof2019 IEEE Nuclear Science Symposium and Medical Imaging Conferenceen_AU
dc.rightsCopyright All Rights Reserveden_AU
dc.titleCharacterization of the Intel RealSense D415 Stereo Depth Camera for Motion-Corrected CT Imagingen_AU
dc.typeConference paperen_AU
dc.subject.asrc0299 Other Physical Sciencesen_AU
dc.subject.asrc0801 Artificial Intelligence and Image Processingen_AU
dc.subject.asrc0903 Biomedical Engineeringen_AU
dc.identifier.doi10.1109/NSS/MIC42101.2019.9059935
dc.relation.arcDE160100745
dc.rights.other© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
usyd.facultySeS faculties schools::Faculty of Engineering::School of Biomedical Engineeringen_AU
usyd.departmentBiomedical Engineeringen_AU
workflow.metadata.onlyNoen_AU


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