Evaluation of principal component analysis based data driven respiratory gating for positron emission tomography
Respiratory motion can degrade PET image quality and lead to inaccurate quantification of lesion uptake. Such motion can be mitigated via respiratory gating. Our objective was to evaluate a data driven gating (DDG) technique that is being developed commercially for clinical PET/CT.A data driven resp...
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| Format: | Journal article |
| Language: | English |
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British Institute of Radiology
2018
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| _version_ | 1797105753732939776 |
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| author | Walker, MD Bradley, KM McGowan, DR |
| author_facet | Walker, MD Bradley, KM McGowan, DR |
| author_sort | Walker, MD |
| collection | OXFORD |
| description | Respiratory motion can degrade PET image quality and lead to inaccurate quantification of lesion uptake. Such motion can be mitigated via respiratory gating. Our objective was to evaluate a data driven gating (DDG) technique that is being developed commercially for clinical PET/CT.A data driven respiratory gating algorithm based on principal component analysis (PCA) was applied to phantom and FDG patient data. An anthropomorphic phantom and a NEMA IEC Body phantom were filled with 18F, placed on a respiratory motion platform, and imaged using a PET/CT scanner. Motion waveforms were measured using an infra-red camera (the Real-time Position Management™ system (RPM)) and also extracted from the PET data using the DDG algorithm. The waveforms were compared via calculation of Pearson's correlation coefficients. PET data were reconstructed using quiescent period gating (QPG) and compared via measurement of recovery percentage and background variability.Data driven gating had similar performance to the external gating system, with correlation coefficients in excess of 0.97. Phantom and patient images were visually clearer with improved contrast when QPG was applied as compared to no motion compensation. Recovery coefficients in the phantoms were not significantly different between DDG- and RPM-based QPG, but were significantly higher than those found for no motion compensation (p<0.05).A PCA-based DDG algorithm was evaluated and found to provide a reliable respiratory gating signal in anthropomorphic phantom studies and in example patients. Advances in knowledge: The prototype commercial DDG algorithm may enable reliable respiratory gating in routine clinical PET-CT. |
| first_indexed | 2024-03-07T06:51:52Z |
| format | Journal article |
| id | oxford-uuid:fcd48c72-dcf4-4053-bf1a-43617f75284e |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:51:52Z |
| publishDate | 2018 |
| publisher | British Institute of Radiology |
| record_format | dspace |
| spelling | oxford-uuid:fcd48c72-dcf4-4053-bf1a-43617f75284e2022-03-27T13:24:03ZEvaluation of principal component analysis based data driven respiratory gating for positron emission tomographyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:fcd48c72-dcf4-4053-bf1a-43617f75284eEnglishSymplectic Elements at OxfordBritish Institute of Radiology2018Walker, MDBradley, KMMcGowan, DRRespiratory motion can degrade PET image quality and lead to inaccurate quantification of lesion uptake. Such motion can be mitigated via respiratory gating. Our objective was to evaluate a data driven gating (DDG) technique that is being developed commercially for clinical PET/CT.A data driven respiratory gating algorithm based on principal component analysis (PCA) was applied to phantom and FDG patient data. An anthropomorphic phantom and a NEMA IEC Body phantom were filled with 18F, placed on a respiratory motion platform, and imaged using a PET/CT scanner. Motion waveforms were measured using an infra-red camera (the Real-time Position Management™ system (RPM)) and also extracted from the PET data using the DDG algorithm. The waveforms were compared via calculation of Pearson's correlation coefficients. PET data were reconstructed using quiescent period gating (QPG) and compared via measurement of recovery percentage and background variability.Data driven gating had similar performance to the external gating system, with correlation coefficients in excess of 0.97. Phantom and patient images were visually clearer with improved contrast when QPG was applied as compared to no motion compensation. Recovery coefficients in the phantoms were not significantly different between DDG- and RPM-based QPG, but were significantly higher than those found for no motion compensation (p<0.05).A PCA-based DDG algorithm was evaluated and found to provide a reliable respiratory gating signal in anthropomorphic phantom studies and in example patients. Advances in knowledge: The prototype commercial DDG algorithm may enable reliable respiratory gating in routine clinical PET-CT. |
| spellingShingle | Walker, MD Bradley, KM McGowan, DR Evaluation of principal component analysis based data driven respiratory gating for positron emission tomography |
| title | Evaluation of principal component analysis based data driven respiratory gating for positron emission tomography |
| title_full | Evaluation of principal component analysis based data driven respiratory gating for positron emission tomography |
| title_fullStr | Evaluation of principal component analysis based data driven respiratory gating for positron emission tomography |
| title_full_unstemmed | Evaluation of principal component analysis based data driven respiratory gating for positron emission tomography |
| title_short | Evaluation of principal component analysis based data driven respiratory gating for positron emission tomography |
| title_sort | evaluation of principal component analysis based data driven respiratory gating for positron emission tomography |
| work_keys_str_mv | AT walkermd evaluationofprincipalcomponentanalysisbaseddatadrivenrespiratorygatingforpositronemissiontomography AT bradleykm evaluationofprincipalcomponentanalysisbaseddatadrivenrespiratorygatingforpositronemissiontomography AT mcgowandr evaluationofprincipalcomponentanalysisbaseddatadrivenrespiratorygatingforpositronemissiontomography |