Evaluation of four-dimensional cone beam computed tomography ventilation images acquired with two different linear accelerators at various gantry speeds using a deformable lung phantom |
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| Institution: | 1. Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan;2. Department of Radiotherapy, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan;3. Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan;4. Department of Radiation Oncology, Yamagata University Faculty of Medicine, Yamagata, Japan;5. Department of Radiation Oncology, Iwate Medical University School of Medicine, Iwate, Japan;6. Department of Radiology, Japanese Red Cross Ishinomaki Hospital, Ishinomaki, Japan;7. Radiation Technology, Tohoku University Hospital, Sendai, Japan;8. Department of Radiological Technology, School of Health Sciences, Faculty of Medicine, Tohoku University, Sendai, Japan;1. School of Science, RMIT University, Melbourne, Australia;2. The European Synchrotron Radiation Facility, ID17 Biomedical Beamline, Grenoble, France;3. Inserm UA7 STROBE, Grenoble Alps University, Grenoble, France;4. Swansea University Medical School, Singleton Park, Swansea, United Kingdom;5. Radiation Oncology, Alfred Hospital, Melbourne, Australia;6. School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia;7. Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Australia;8. Australian Nuclear Science and Technology Organisation (ANSTO), Australian Synchrotron, Clayton, Australia;9. Department of Obstetrics and Gynaecology, University of Melbourne, Royal Women’s Hospital, Melbourne, Australia;10. Australian Radiation Protection and Nuclear Safety Agency (ARPANSA), Melbourne, Australia;11. Radiation Analytics, Brisbane, Australia;1. University of Colorado School of Medicine, Department of Radiation Oncology, Aurora, United States;2. St. Jude Children’s Research Hospital, Department of Radiation Oncology, Memphis, United States;3. Memorial Hospital, Department of Radiation Oncology, Colorado Springs, United States;4. Beaumont Health System, Department of Radiation Oncology, Royal Oak, United States;5. Emory University, Department of Radiation Oncology, Atlanta, United States;1. Radiation Physics Section, Biomedical Physics Department, King Faisal Specialist Hospital & Research Centre, Riyadh, Kingdom of Saudi Arabia;2. Cyclotron and Radiopharmaceuticals Department, King Faisal Specialist Hospital & Research Centre, Riyadh, Kingdom of Saudi Arabia;3. Radiation Biology Section, Biomedical Physics Department, King Faisal Specialist Hospital & Research Centre, Riyadh, Kingdom of Saudi Arabia;4. Oncology Centre, King Faisal Specialist Hospital & Research Centre, Riyadh, Kingdom of Saudi Arabia;5. Medical Physics Unit, McGill University, Montréal, Québec, Canada;6. Department of Oncology, Faculty of Medicine, McGill University, Montréal, Québec, Canada;7. Department of Radiation Oncology, Jewish General Hospital, Montréal, Québec, Canada;1. Department of Radiation Oncology, University of California Davis, Sacramento, California;2. Department of Digital Imaging, Philips Research, Hamburg, Germany;3. Philips Healthcare, Best, The Netherlands;4. Philips Healthcare, Fitchburg, Wisconsin;6. Radiation Physics Laboratory, Sydney Medical School, University of Sydney, New South Wales, Australia |
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| Abstract: | We evaluated four-dimensional cone beam computed tomography (4D-CBCT) ventilation images (VICBCT) acquired with two different linear accelerator systems at various gantry speeds using a deformable lung phantom.The 4D-CT and 4D-CBCT scans were performed using a computed tomography (CT) scanner, an X-ray volume imaging system (Elekta XVI) mounted in Versa HD, and an On-Board Imager (OBI) system mounted in TrueBeam. Intensity-based deformable image registration (DIR) was performed between peak-exhale and peak-inhale images. VICBCT- and 4D-CT-based ventilation images (VICT) were derived by DIR using two metrics: one based on the Jacobian determinant and one on changes in the Hounsfield unit (HU). Three different DIR regularization values (λ) were used for VICBCT. Correlations between the VICBCT and VICT values were evaluated using voxel-wise Spearman’s rank correlation coefficient (r).In case of both metrics, the Jacobian-based VICBCT with a gantry speed of 0.6 deg/sec in Versa HD showed the highest correlation for all the gantry speeds (e.g., λ = 0.05 and r = 0.68). Thus, the r value of the Jacobian-based VICBCT was greater or equal to that of the HU-based VICBCT. In addition, the ventilation accuracy of VICBCT increased at low gantry speeds.Thus, the image quality of VICBCT was affected by the change in gantry speed in both the imaging systems. Additionally, DIR regularization considerably influenced VICBCT in both the imaging systems. Our results have the potential to assist in designing CBCT protocols, incorporating VICBCT imaging into the functional avoidance planning process. |
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| Keywords: | CT ventilation 4D-CBCT 4D-CT Lung Defomrable image registration |
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