Four-dimensional (4D) PET/CT imaging of the thorax
We have reported in our previous studies on the methodology, and feasibility of 4D-PET (Gated PET) acquisition, to reduce respiratory motion artifact in PET imaging of the thorax. In this study, we expand our investigation to address the problem of respiration motion in PET/CT imaging. The respirato...
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creator | Nehmeh, S. A. Erdi, Y. E. Pan, T. Pevsner, A. Rosenzweig, K. E. Yorke, E. Mageras, G. S. Schoder, H. Vernon, Phil Squire, O. Mostafavi, H. Larson, S. M. Humm, J. L. |
description | We have reported in our previous studies on the methodology, and feasibility of 4D-PET (Gated PET) acquisition, to reduce respiratory motion artifact in PET imaging of the thorax. In this study, we expand our investigation to address the problem of respiration motion in PET/CT imaging. The respiratory motion of four lung cancer patients were monitored by tracking external markers placed on the thorax. A 4D-CT acquisition was performed using a “step-and-shoot” technique, in which computed tomography (CT) projection data were acquired over a complete respiratory cycle at each couch position. The period of each CT acquisition segment was time stamped with an “x-ray ON” signal, which was recorded by the tracking system. 4D-CT data were then sorted into 10 groups, according to their corresponding phase of the breathing cycle. 4D-PET data were acquired in the gated mode, where each breathing cycle was divided into ten 0.5 s bins. For both CT and PET acquisitions, patients received audio prompting to regularize breathing. The 4D-CT and 4D-PET data were then correlated according to respiratory phase. The effect of 4D acquisition on improving the co-registration of PET and CT images, reducing motion smearing, and consequently increase the quantitation of the SUV, were investigated. Also, quantitation of the tumor motions in PET, and CT, were studied and compared. 4D-PET with matching phase 4D-CTAC showed an improved accuracy in PET-CT image co-registration of up to 41%, compared to measurements from 4D-PET with clinical-CTAC. Gating PET data in correlation with respiratory motion reduced motion-induced smearing, thereby decreasing the observed tumor volume, by as much as 43%. 4D-PET lesions volumes showed a maximum deviation of 19% between clinical CT and phase- matched 4D-CT attenuation corrected PET images. In CT, 4D acquisition resulted in increasing the tumor volume in two patients by up to 79%, and decreasing it in the other two by up to 35%. Consequently, these corrections have yielded an increase in the measured SUV by up to 16% over the clinical measured SUV, and 36% over SUV’s measured in 4D-PET with clinical-CT Attenuation Correction (CTAC) SUV’s. Quantitation of the maximum tumor motion amplitude, using 4D-PET and 4D-CT, showed up to 30% discrepancy between the two modalities. We have shown that 4D PET/CT is clinically a feasible method, to correct for respiratory motion artifacts in PET/CT imaging of the thorax. 4D PET/CT acquisition can reduce smearing |
doi_str_mv | 10.1118/1.1809778 |
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A. ; Erdi, Y. E. ; Pan, T. ; Pevsner, A. ; Rosenzweig, K. E. ; Yorke, E. ; Mageras, G. S. ; Schoder, H. ; Vernon, Phil ; Squire, O. ; Mostafavi, H. ; Larson, S. M. ; Humm, J. L.</creator><creatorcontrib>Nehmeh, S. A. ; Erdi, Y. E. ; Pan, T. ; Pevsner, A. ; Rosenzweig, K. E. ; Yorke, E. ; Mageras, G. S. ; Schoder, H. ; Vernon, Phil ; Squire, O. ; Mostafavi, H. ; Larson, S. M. ; Humm, J. L.</creatorcontrib><description>We have reported in our previous studies on the methodology, and feasibility of 4D-PET (Gated PET) acquisition, to reduce respiratory motion artifact in PET imaging of the thorax. In this study, we expand our investigation to address the problem of respiration motion in PET/CT imaging. The respiratory motion of four lung cancer patients were monitored by tracking external markers placed on the thorax. A 4D-CT acquisition was performed using a “step-and-shoot” technique, in which computed tomography (CT) projection data were acquired over a complete respiratory cycle at each couch position. The period of each CT acquisition segment was time stamped with an “x-ray ON” signal, which was recorded by the tracking system. 4D-CT data were then sorted into 10 groups, according to their corresponding phase of the breathing cycle. 4D-PET data were acquired in the gated mode, where each breathing cycle was divided into ten 0.5 s bins. For both CT and PET acquisitions, patients received audio prompting to regularize breathing. The 4D-CT and 4D-PET data were then correlated according to respiratory phase. The effect of 4D acquisition on improving the co-registration of PET and CT images, reducing motion smearing, and consequently increase the quantitation of the SUV, were investigated. Also, quantitation of the tumor motions in PET, and CT, were studied and compared. 4D-PET with matching phase 4D-CTAC showed an improved accuracy in PET-CT image co-registration of up to 41%, compared to measurements from 4D-PET with clinical-CTAC. Gating PET data in correlation with respiratory motion reduced motion-induced smearing, thereby decreasing the observed tumor volume, by as much as 43%. 4D-PET lesions volumes showed a maximum deviation of 19% between clinical CT and phase- matched 4D-CT attenuation corrected PET images. In CT, 4D acquisition resulted in increasing the tumor volume in two patients by up to 79%, and decreasing it in the other two by up to 35%. Consequently, these corrections have yielded an increase in the measured SUV by up to 16% over the clinical measured SUV, and 36% over SUV’s measured in 4D-PET with clinical-CT Attenuation Correction (CTAC) SUV’s. Quantitation of the maximum tumor motion amplitude, using 4D-PET and 4D-CT, showed up to 30% discrepancy between the two modalities. We have shown that 4D PET/CT is clinically a feasible method, to correct for respiratory motion artifacts in PET/CT imaging of the thorax. 4D PET/CT acquisition can reduce smearing, improve the accuracy in PET-CT co-registration, and increase the measured SUV. This should result in an improved tumor assessment for patients with lung malignancies.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.1809778</identifier><identifier>PMID: 15651600</identifier><identifier>CODEN: MPHYA6</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>ACCURACY ; Aged ; Aged, 80 and over ; Algorithms ; ATTENUATION ; cancer ; CHEST ; Computed radiography ; Computed tomography ; computerised tomography ; COMPUTERIZED TOMOGRAPHY ; DATA ACQUISITION ; Diseases ; Hemodynamics ; Humans ; Image analysis ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; image matching ; IMAGE PROCESSING ; image registration ; Image scanners ; Imaging, Three-Dimensional - methods ; lung ; Lung Neoplasms - diagnosis ; LUNGS ; Medical image artifacts ; medical image processing ; Medical image reconstruction ; Medical imaging ; Middle Aged ; Movement ; NEOPLASMS ; PATIENTS ; Pattern Recognition, Automated - methods ; Pneumodyamics, respiration ; pneumodynamics ; POSITRON COMPUTED TOMOGRAPHY ; positron emission tomography ; Positron-Emission Tomography - methods ; Radiation therapy ; Radiography, Thoracic - methods ; RADIOLOGY AND NUCLEAR MEDICINE ; Reproducibility of Results ; RESPIRATION ; Sensitivity and Specificity ; Subtraction Technique ; Thorax - diagnostic imaging ; Tomography, X-Ray Computed - methods ; tumours</subject><ispartof>Medical physics (Lancaster), 2004-12, Vol.31 (12), p.3179-3186</ispartof><rights>American Association of Physicists in Medicine</rights><rights>2004 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4518-7adfdc3f1a56572a8a46cf2fb5868c38442e2458028c1c23f7080e7fe8e56fe53</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.1809778$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.1809778$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,777,781,882,1412,27905,27906,45555,45556</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15651600$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/20634510$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Nehmeh, S. A.</creatorcontrib><creatorcontrib>Erdi, Y. E.</creatorcontrib><creatorcontrib>Pan, T.</creatorcontrib><creatorcontrib>Pevsner, A.</creatorcontrib><creatorcontrib>Rosenzweig, K. E.</creatorcontrib><creatorcontrib>Yorke, E.</creatorcontrib><creatorcontrib>Mageras, G. S.</creatorcontrib><creatorcontrib>Schoder, H.</creatorcontrib><creatorcontrib>Vernon, Phil</creatorcontrib><creatorcontrib>Squire, O.</creatorcontrib><creatorcontrib>Mostafavi, H.</creatorcontrib><creatorcontrib>Larson, S. M.</creatorcontrib><creatorcontrib>Humm, J. L.</creatorcontrib><title>Four-dimensional (4D) PET/CT imaging of the thorax</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>We have reported in our previous studies on the methodology, and feasibility of 4D-PET (Gated PET) acquisition, to reduce respiratory motion artifact in PET imaging of the thorax. In this study, we expand our investigation to address the problem of respiration motion in PET/CT imaging. The respiratory motion of four lung cancer patients were monitored by tracking external markers placed on the thorax. A 4D-CT acquisition was performed using a “step-and-shoot” technique, in which computed tomography (CT) projection data were acquired over a complete respiratory cycle at each couch position. The period of each CT acquisition segment was time stamped with an “x-ray ON” signal, which was recorded by the tracking system. 4D-CT data were then sorted into 10 groups, according to their corresponding phase of the breathing cycle. 4D-PET data were acquired in the gated mode, where each breathing cycle was divided into ten 0.5 s bins. For both CT and PET acquisitions, patients received audio prompting to regularize breathing. The 4D-CT and 4D-PET data were then correlated according to respiratory phase. The effect of 4D acquisition on improving the co-registration of PET and CT images, reducing motion smearing, and consequently increase the quantitation of the SUV, were investigated. Also, quantitation of the tumor motions in PET, and CT, were studied and compared. 4D-PET with matching phase 4D-CTAC showed an improved accuracy in PET-CT image co-registration of up to 41%, compared to measurements from 4D-PET with clinical-CTAC. Gating PET data in correlation with respiratory motion reduced motion-induced smearing, thereby decreasing the observed tumor volume, by as much as 43%. 4D-PET lesions volumes showed a maximum deviation of 19% between clinical CT and phase- matched 4D-CT attenuation corrected PET images. In CT, 4D acquisition resulted in increasing the tumor volume in two patients by up to 79%, and decreasing it in the other two by up to 35%. Consequently, these corrections have yielded an increase in the measured SUV by up to 16% over the clinical measured SUV, and 36% over SUV’s measured in 4D-PET with clinical-CT Attenuation Correction (CTAC) SUV’s. Quantitation of the maximum tumor motion amplitude, using 4D-PET and 4D-CT, showed up to 30% discrepancy between the two modalities. We have shown that 4D PET/CT is clinically a feasible method, to correct for respiratory motion artifacts in PET/CT imaging of the thorax. 4D PET/CT acquisition can reduce smearing, improve the accuracy in PET-CT co-registration, and increase the measured SUV. This should result in an improved tumor assessment for patients with lung malignancies.</description><subject>ACCURACY</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>ATTENUATION</subject><subject>cancer</subject><subject>CHEST</subject><subject>Computed radiography</subject><subject>Computed tomography</subject><subject>computerised tomography</subject><subject>COMPUTERIZED TOMOGRAPHY</subject><subject>DATA ACQUISITION</subject><subject>Diseases</subject><subject>Hemodynamics</subject><subject>Humans</subject><subject>Image analysis</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>image matching</subject><subject>IMAGE PROCESSING</subject><subject>image registration</subject><subject>Image scanners</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>lung</subject><subject>Lung Neoplasms - diagnosis</subject><subject>LUNGS</subject><subject>Medical image artifacts</subject><subject>medical image processing</subject><subject>Medical image reconstruction</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Movement</subject><subject>NEOPLASMS</subject><subject>PATIENTS</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Pneumodyamics, respiration</subject><subject>pneumodynamics</subject><subject>POSITRON COMPUTED TOMOGRAPHY</subject><subject>positron emission tomography</subject><subject>Positron-Emission Tomography - methods</subject><subject>Radiation therapy</subject><subject>Radiography, Thoracic - methods</subject><subject>RADIOLOGY AND NUCLEAR MEDICINE</subject><subject>Reproducibility of Results</subject><subject>RESPIRATION</subject><subject>Sensitivity and Specificity</subject><subject>Subtraction Technique</subject><subject>Thorax - diagnostic imaging</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>tumours</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE9LAzEQxYMotv45-AVkQRAVtp1kk016lNqqULGHeg5pNmlXtpu62VX77U3Zil70MMxhfjNv3kPoDEMPYyz6uIcFDDgXe6hLKE9iSmCwj7oAAxoTCqyDjrx_BYA0YXCIOpilDKcAXUTGrqniLF-Z0ueuVEV0Re-uo-lo1h_OonylFnm5iJyN6qUJ5Sr1eYIOrCq8Od31Y_QyHs2GD_Hk-f5xeDuJNWVYxFxlNtOJxSqIcaKEoqm2xM6ZSIVOBKXEEMoEEKGxJonlIMBwa4RhqTUsOUYX7V3n61x6nddGL7UrS6NrSYKVIAOBumypdeXeGuNrucq9NkWhSuMaL1NOIGjhAJ7vwGa-MplcV8FdtZHfWQQgboGPvDCbnznIbcgSy13I8mm6bYG_afnta6oO6f298x_87qpfx9eZTb4AsBaFcg</recordid><startdate>200412</startdate><enddate>200412</enddate><creator>Nehmeh, S. A.</creator><creator>Erdi, Y. E.</creator><creator>Pan, T.</creator><creator>Pevsner, A.</creator><creator>Rosenzweig, K. E.</creator><creator>Yorke, E.</creator><creator>Mageras, G. S.</creator><creator>Schoder, H.</creator><creator>Vernon, Phil</creator><creator>Squire, O.</creator><creator>Mostafavi, H.</creator><creator>Larson, S. M.</creator><creator>Humm, J. L.</creator><general>American Association of Physicists in Medicine</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>OTOTI</scope></search><sort><creationdate>200412</creationdate><title>Four-dimensional (4D) PET/CT imaging of the thorax</title><author>Nehmeh, S. A. ; Erdi, Y. E. ; Pan, T. ; Pevsner, A. ; Rosenzweig, K. E. ; Yorke, E. ; Mageras, G. S. ; Schoder, H. ; Vernon, Phil ; Squire, O. ; Mostafavi, H. ; Larson, S. M. ; Humm, J. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4518-7adfdc3f1a56572a8a46cf2fb5868c38442e2458028c1c23f7080e7fe8e56fe53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>ACCURACY</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>ATTENUATION</topic><topic>cancer</topic><topic>CHEST</topic><topic>Computed radiography</topic><topic>Computed tomography</topic><topic>computerised tomography</topic><topic>COMPUTERIZED TOMOGRAPHY</topic><topic>DATA ACQUISITION</topic><topic>Diseases</topic><topic>Hemodynamics</topic><topic>Humans</topic><topic>Image analysis</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>image matching</topic><topic>IMAGE PROCESSING</topic><topic>image registration</topic><topic>Image scanners</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>lung</topic><topic>Lung Neoplasms - diagnosis</topic><topic>LUNGS</topic><topic>Medical image artifacts</topic><topic>medical image processing</topic><topic>Medical image reconstruction</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Movement</topic><topic>NEOPLASMS</topic><topic>PATIENTS</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Pneumodyamics, respiration</topic><topic>pneumodynamics</topic><topic>POSITRON COMPUTED TOMOGRAPHY</topic><topic>positron emission tomography</topic><topic>Positron-Emission Tomography - methods</topic><topic>Radiation therapy</topic><topic>Radiography, Thoracic - methods</topic><topic>RADIOLOGY AND NUCLEAR MEDICINE</topic><topic>Reproducibility of Results</topic><topic>RESPIRATION</topic><topic>Sensitivity and Specificity</topic><topic>Subtraction Technique</topic><topic>Thorax - diagnostic imaging</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>tumours</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nehmeh, S. A.</creatorcontrib><creatorcontrib>Erdi, Y. E.</creatorcontrib><creatorcontrib>Pan, T.</creatorcontrib><creatorcontrib>Pevsner, A.</creatorcontrib><creatorcontrib>Rosenzweig, K. E.</creatorcontrib><creatorcontrib>Yorke, E.</creatorcontrib><creatorcontrib>Mageras, G. S.</creatorcontrib><creatorcontrib>Schoder, H.</creatorcontrib><creatorcontrib>Vernon, Phil</creatorcontrib><creatorcontrib>Squire, O.</creatorcontrib><creatorcontrib>Mostafavi, H.</creatorcontrib><creatorcontrib>Larson, S. M.</creatorcontrib><creatorcontrib>Humm, J. L.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nehmeh, S. A.</au><au>Erdi, Y. E.</au><au>Pan, T.</au><au>Pevsner, A.</au><au>Rosenzweig, K. E.</au><au>Yorke, E.</au><au>Mageras, G. S.</au><au>Schoder, H.</au><au>Vernon, Phil</au><au>Squire, O.</au><au>Mostafavi, H.</au><au>Larson, S. M.</au><au>Humm, J. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Four-dimensional (4D) PET/CT imaging of the thorax</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2004-12</date><risdate>2004</risdate><volume>31</volume><issue>12</issue><spage>3179</spage><epage>3186</epage><pages>3179-3186</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><coden>MPHYA6</coden><abstract>We have reported in our previous studies on the methodology, and feasibility of 4D-PET (Gated PET) acquisition, to reduce respiratory motion artifact in PET imaging of the thorax. In this study, we expand our investigation to address the problem of respiration motion in PET/CT imaging. The respiratory motion of four lung cancer patients were monitored by tracking external markers placed on the thorax. A 4D-CT acquisition was performed using a “step-and-shoot” technique, in which computed tomography (CT) projection data were acquired over a complete respiratory cycle at each couch position. The period of each CT acquisition segment was time stamped with an “x-ray ON” signal, which was recorded by the tracking system. 4D-CT data were then sorted into 10 groups, according to their corresponding phase of the breathing cycle. 4D-PET data were acquired in the gated mode, where each breathing cycle was divided into ten 0.5 s bins. For both CT and PET acquisitions, patients received audio prompting to regularize breathing. The 4D-CT and 4D-PET data were then correlated according to respiratory phase. The effect of 4D acquisition on improving the co-registration of PET and CT images, reducing motion smearing, and consequently increase the quantitation of the SUV, were investigated. Also, quantitation of the tumor motions in PET, and CT, were studied and compared. 4D-PET with matching phase 4D-CTAC showed an improved accuracy in PET-CT image co-registration of up to 41%, compared to measurements from 4D-PET with clinical-CTAC. Gating PET data in correlation with respiratory motion reduced motion-induced smearing, thereby decreasing the observed tumor volume, by as much as 43%. 4D-PET lesions volumes showed a maximum deviation of 19% between clinical CT and phase- matched 4D-CT attenuation corrected PET images. In CT, 4D acquisition resulted in increasing the tumor volume in two patients by up to 79%, and decreasing it in the other two by up to 35%. Consequently, these corrections have yielded an increase in the measured SUV by up to 16% over the clinical measured SUV, and 36% over SUV’s measured in 4D-PET with clinical-CT Attenuation Correction (CTAC) SUV’s. Quantitation of the maximum tumor motion amplitude, using 4D-PET and 4D-CT, showed up to 30% discrepancy between the two modalities. We have shown that 4D PET/CT is clinically a feasible method, to correct for respiratory motion artifacts in PET/CT imaging of the thorax. 4D PET/CT acquisition can reduce smearing, improve the accuracy in PET-CT co-registration, and increase the measured SUV. This should result in an improved tumor assessment for patients with lung malignancies.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>15651600</pmid><doi>10.1118/1.1809778</doi><tpages>8</tpages></addata></record> |
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subjects | ACCURACY Aged Aged, 80 and over Algorithms ATTENUATION cancer CHEST Computed radiography Computed tomography computerised tomography COMPUTERIZED TOMOGRAPHY DATA ACQUISITION Diseases Hemodynamics Humans Image analysis Image Enhancement - methods Image Interpretation, Computer-Assisted - methods image matching IMAGE PROCESSING image registration Image scanners Imaging, Three-Dimensional - methods lung Lung Neoplasms - diagnosis LUNGS Medical image artifacts medical image processing Medical image reconstruction Medical imaging Middle Aged Movement NEOPLASMS PATIENTS Pattern Recognition, Automated - methods Pneumodyamics, respiration pneumodynamics POSITRON COMPUTED TOMOGRAPHY positron emission tomography Positron-Emission Tomography - methods Radiation therapy Radiography, Thoracic - methods RADIOLOGY AND NUCLEAR MEDICINE Reproducibility of Results RESPIRATION Sensitivity and Specificity Subtraction Technique Thorax - diagnostic imaging Tomography, X-Ray Computed - methods tumours |
title | Four-dimensional (4D) PET/CT imaging of the thorax |
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