Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging
Respiratory patient motion causes blurring of the PET images that may impact accurate quantification of perfusion and infarction extents in PET myocardial viability studies. In this study, we investigate the feasibility of correcting for respiratory motion directly in the PET-listmode data prior to...
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| Veröffentlicht in: | Journal of nuclear cardiology 2020-12, Vol.27 (6), p.2216-2230 |
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| creator | Lassen, Martin Lyngby Beyer, Thomas Berger, Alexander Beitzke, Dietrich Rasul, Sazan Büther, Florian Hacker, Marcus Cal-González, Jacobo |
| description | Respiratory patient motion causes blurring of the PET images that may impact accurate quantification of perfusion and infarction extents in PET myocardial viability studies. In this study, we investigate the feasibility of correcting for respiratory motion directly in the PET-listmode data prior to image reconstruction using a data-driven, projection-based, respiratory motion compensation (DPR-MoCo) technique.
The DPR-MoCo method was validated using simulations of a XCAT phantom (Biograph mMR PET/MR) as well as experimental phantom acquisitions (Biograph mCT PET/CT). Seven patient studies following a dual-tracer (18F-FDG/13N-NH3) imaging-protocol using a PET/MR-system were also evaluated. The performance of the DPR-MoCo method was compared against reconstructions of the acquired data (No-MoCo), a reference gate method (gated) and an image-based MoCo method using the standard reconstruction-transform-average (RTA-MoCo) approach. The target-to-background ratio (TBRLV) in the myocardium and the noise in the liver (CoVliver) were evaluated for all acquisitions. For all patients, the clinical effect of the DPR-MoCo was assessed based on the end-systolic (ESV), the end-diastolic volumes (EDV) and the left ventricular ejection fraction (EF) which were compared to functional values obtained from the cardiac MR.
The DPR-MoCo and the No-MoCo images presented with similar noise-properties (CoV) (P = .12), while the RTA-MoCo and reference-gate images showed increased noise levels (P = .05). TBRLV values increased for the motion limited reconstructions when compared to the No-MoCo reconstructions (P > .05). DPR-MoCo results showed higher correlation with the functional values obtained from the cardiac MR than the No-MoCo results, though non-significant (P > .05).
The projection-based DPR-MoCo method helps to improve PET image quality of the myocardium without the need for external devices for motion tracking. |
| doi_str_mv | 10.1007/s12350-019-01613-2 |
| format | Article |
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The DPR-MoCo method was validated using simulations of a XCAT phantom (Biograph mMR PET/MR) as well as experimental phantom acquisitions (Biograph mCT PET/CT). Seven patient studies following a dual-tracer (18F-FDG/13N-NH3) imaging-protocol using a PET/MR-system were also evaluated. The performance of the DPR-MoCo method was compared against reconstructions of the acquired data (No-MoCo), a reference gate method (gated) and an image-based MoCo method using the standard reconstruction-transform-average (RTA-MoCo) approach. The target-to-background ratio (TBRLV) in the myocardium and the noise in the liver (CoVliver) were evaluated for all acquisitions. For all patients, the clinical effect of the DPR-MoCo was assessed based on the end-systolic (ESV), the end-diastolic volumes (EDV) and the left ventricular ejection fraction (EF) which were compared to functional values obtained from the cardiac MR.
The DPR-MoCo and the No-MoCo images presented with similar noise-properties (CoV) (P = .12), while the RTA-MoCo and reference-gate images showed increased noise levels (P = .05). TBRLV values increased for the motion limited reconstructions when compared to the No-MoCo reconstructions (P > .05). DPR-MoCo results showed higher correlation with the functional values obtained from the cardiac MR than the No-MoCo results, though non-significant (P > .05).
The projection-based DPR-MoCo method helps to improve PET image quality of the myocardium without the need for external devices for motion tracking.</description><identifier>ISSN: 1071-3581</identifier><identifier>EISSN: 1532-6551</identifier><identifier>DOI: 10.1007/s12350-019-01613-2</identifier><identifier>PMID: 30761482</identifier><language>eng</language><publisher>Cham: Elsevier Inc</publisher><subject>Aged ; Aged, 80 and over ; cardiac PET ; Cardiology ; Computer Simulation ; Diastole ; Ejection fraction ; Electrocardiography ; Female ; Fluorodeoxyglucose F18 ; Heart - diagnostic imaging ; Humans ; Image Processing, Computer-Assisted - methods ; Imaging ; listmode ; Magnetic Resonance Imaging ; Male ; Medicine ; Medicine & Public Health ; motion correction ; Movement ; Myocardium - pathology ; Noise ; Nuclear Medicine ; Original Article ; Phantoms, Imaging ; Positron Emission Tomography Computed Tomography ; Radiology ; Reproducibility of Results ; Respiration ; Respiratory gating ; Stroke Volume ; Systole ; Ventricular Function, Left</subject><ispartof>Journal of nuclear cardiology, 2020-12, Vol.27 (6), p.2216-2230</ispartof><rights>2020 American Society of Nuclear Cardiology. Published by ELSEVIER INC. All rights reserved.</rights><rights>American Society of Nuclear Cardiology 2019</rights><rights>Journal of Nuclear Cardiology is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-1d4603dd68236824def8e9fdc551bea480781f434f051f3fe1e61266644d2e8e3</citedby><cites>FETCH-LOGICAL-c494t-1d4603dd68236824def8e9fdc551bea480781f434f051f3fe1e61266644d2e8e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12350-019-01613-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12350-019-01613-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30761482$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lassen, Martin Lyngby</creatorcontrib><creatorcontrib>Beyer, Thomas</creatorcontrib><creatorcontrib>Berger, Alexander</creatorcontrib><creatorcontrib>Beitzke, Dietrich</creatorcontrib><creatorcontrib>Rasul, Sazan</creatorcontrib><creatorcontrib>Büther, Florian</creatorcontrib><creatorcontrib>Hacker, Marcus</creatorcontrib><creatorcontrib>Cal-González, Jacobo</creatorcontrib><title>Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging</title><title>Journal of nuclear cardiology</title><addtitle>J. Nucl. Cardiol</addtitle><addtitle>J Nucl Cardiol</addtitle><description>Respiratory patient motion causes blurring of the PET images that may impact accurate quantification of perfusion and infarction extents in PET myocardial viability studies. In this study, we investigate the feasibility of correcting for respiratory motion directly in the PET-listmode data prior to image reconstruction using a data-driven, projection-based, respiratory motion compensation (DPR-MoCo) technique.
The DPR-MoCo method was validated using simulations of a XCAT phantom (Biograph mMR PET/MR) as well as experimental phantom acquisitions (Biograph mCT PET/CT). Seven patient studies following a dual-tracer (18F-FDG/13N-NH3) imaging-protocol using a PET/MR-system were also evaluated. The performance of the DPR-MoCo method was compared against reconstructions of the acquired data (No-MoCo), a reference gate method (gated) and an image-based MoCo method using the standard reconstruction-transform-average (RTA-MoCo) approach. The target-to-background ratio (TBRLV) in the myocardium and the noise in the liver (CoVliver) were evaluated for all acquisitions. For all patients, the clinical effect of the DPR-MoCo was assessed based on the end-systolic (ESV), the end-diastolic volumes (EDV) and the left ventricular ejection fraction (EF) which were compared to functional values obtained from the cardiac MR.
The DPR-MoCo and the No-MoCo images presented with similar noise-properties (CoV) (P = .12), while the RTA-MoCo and reference-gate images showed increased noise levels (P = .05). TBRLV values increased for the motion limited reconstructions when compared to the No-MoCo reconstructions (P > .05). DPR-MoCo results showed higher correlation with the functional values obtained from the cardiac MR than the No-MoCo results, though non-significant (P > .05).
The projection-based DPR-MoCo method helps to improve PET image quality of the myocardium without the need for external devices for motion tracking.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>cardiac PET</subject><subject>Cardiology</subject><subject>Computer Simulation</subject><subject>Diastole</subject><subject>Ejection fraction</subject><subject>Electrocardiography</subject><subject>Female</subject><subject>Fluorodeoxyglucose F18</subject><subject>Heart - diagnostic imaging</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>listmode</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>motion correction</subject><subject>Movement</subject><subject>Myocardium - pathology</subject><subject>Noise</subject><subject>Nuclear Medicine</subject><subject>Original Article</subject><subject>Phantoms, Imaging</subject><subject>Positron Emission Tomography Computed Tomography</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Respiration</subject><subject>Respiratory gating</subject><subject>Stroke Volume</subject><subject>Systole</subject><subject>Ventricular Function, Left</subject><issn>1071-3581</issn><issn>1532-6551</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UU1vEzEQXSEQLYU_wAFZ4sIBU4_t9e5KXKpQPqSiViicLcceR46ydrA3lfrv62QLSD30MPKM571nz7ymeQvsEzDWnRfgomWUwVBDgaD8WXMKreBUtS08rznrgIq2h5PmVSkbxtgghuFlcyJYp0D2_LRJX8xkqMvhFuNHsstpg3YKKdKVKehIxrIL2Uwp35ExHRrEpnGHsZhjkTy5uVwSV0WIT5lYk10w9nB5vlgSE90x_fmLhNGsQ1y_bl54sy345uE8a35_vVwuvtOr628_FhdX1MpBThScVEw4p3ouakiHvsfBO1sHW6GRPet68FJIz1rwwiOgAq6UktJx7FGcNR9m3TrSnz2WSY-hWNxuTcS0L5pzPgDrBecV-v4RdJP2OdbfaQ7dAF0HPasoPqNsTqVk9HqX60z5TgPTBzv0bIeuduijHfog_e5Ber8a0f2j_N1_BYgZUGorrjH_f_tJ2c8zC-sGb0NlFRswWnQhV_u0S-Ep-j3bmKbT</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Lassen, Martin Lyngby</creator><creator>Beyer, Thomas</creator><creator>Berger, Alexander</creator><creator>Beitzke, Dietrich</creator><creator>Rasul, Sazan</creator><creator>Büther, Florian</creator><creator>Hacker, Marcus</creator><creator>Cal-González, Jacobo</creator><general>Elsevier Inc</general><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20201201</creationdate><title>Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging</title><author>Lassen, Martin Lyngby ; Beyer, Thomas ; Berger, Alexander ; Beitzke, Dietrich ; Rasul, Sazan ; Büther, Florian ; Hacker, Marcus ; Cal-González, Jacobo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c494t-1d4603dd68236824def8e9fdc551bea480781f434f051f3fe1e61266644d2e8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>cardiac PET</topic><topic>Cardiology</topic><topic>Computer Simulation</topic><topic>Diastole</topic><topic>Ejection fraction</topic><topic>Electrocardiography</topic><topic>Female</topic><topic>Fluorodeoxyglucose F18</topic><topic>Heart - diagnostic imaging</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>listmode</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>motion correction</topic><topic>Movement</topic><topic>Myocardium - pathology</topic><topic>Noise</topic><topic>Nuclear Medicine</topic><topic>Original Article</topic><topic>Phantoms, Imaging</topic><topic>Positron Emission Tomography Computed Tomography</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Respiration</topic><topic>Respiratory gating</topic><topic>Stroke Volume</topic><topic>Systole</topic><topic>Ventricular Function, Left</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lassen, Martin Lyngby</creatorcontrib><creatorcontrib>Beyer, Thomas</creatorcontrib><creatorcontrib>Berger, Alexander</creatorcontrib><creatorcontrib>Beitzke, Dietrich</creatorcontrib><creatorcontrib>Rasul, Sazan</creatorcontrib><creatorcontrib>Büther, Florian</creatorcontrib><creatorcontrib>Hacker, Marcus</creatorcontrib><creatorcontrib>Cal-González, Jacobo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of nuclear cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lassen, Martin Lyngby</au><au>Beyer, Thomas</au><au>Berger, Alexander</au><au>Beitzke, Dietrich</au><au>Rasul, Sazan</au><au>Büther, Florian</au><au>Hacker, Marcus</au><au>Cal-González, Jacobo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging</atitle><jtitle>Journal of nuclear cardiology</jtitle><stitle>J. Nucl. Cardiol</stitle><addtitle>J Nucl Cardiol</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>27</volume><issue>6</issue><spage>2216</spage><epage>2230</epage><pages>2216-2230</pages><issn>1071-3581</issn><eissn>1532-6551</eissn><abstract>Respiratory patient motion causes blurring of the PET images that may impact accurate quantification of perfusion and infarction extents in PET myocardial viability studies. In this study, we investigate the feasibility of correcting for respiratory motion directly in the PET-listmode data prior to image reconstruction using a data-driven, projection-based, respiratory motion compensation (DPR-MoCo) technique.
The DPR-MoCo method was validated using simulations of a XCAT phantom (Biograph mMR PET/MR) as well as experimental phantom acquisitions (Biograph mCT PET/CT). Seven patient studies following a dual-tracer (18F-FDG/13N-NH3) imaging-protocol using a PET/MR-system were also evaluated. The performance of the DPR-MoCo method was compared against reconstructions of the acquired data (No-MoCo), a reference gate method (gated) and an image-based MoCo method using the standard reconstruction-transform-average (RTA-MoCo) approach. The target-to-background ratio (TBRLV) in the myocardium and the noise in the liver (CoVliver) were evaluated for all acquisitions. For all patients, the clinical effect of the DPR-MoCo was assessed based on the end-systolic (ESV), the end-diastolic volumes (EDV) and the left ventricular ejection fraction (EF) which were compared to functional values obtained from the cardiac MR.
The DPR-MoCo and the No-MoCo images presented with similar noise-properties (CoV) (P = .12), while the RTA-MoCo and reference-gate images showed increased noise levels (P = .05). TBRLV values increased for the motion limited reconstructions when compared to the No-MoCo reconstructions (P > .05). DPR-MoCo results showed higher correlation with the functional values obtained from the cardiac MR than the No-MoCo results, though non-significant (P > .05).
The projection-based DPR-MoCo method helps to improve PET image quality of the myocardium without the need for external devices for motion tracking.</abstract><cop>Cham</cop><pub>Elsevier Inc</pub><pmid>30761482</pmid><doi>10.1007/s12350-019-01613-2</doi><tpages>15</tpages></addata></record> |
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| subjects | Aged Aged, 80 and over cardiac PET Cardiology Computer Simulation Diastole Ejection fraction Electrocardiography Female Fluorodeoxyglucose F18 Heart - diagnostic imaging Humans Image Processing, Computer-Assisted - methods Imaging listmode Magnetic Resonance Imaging Male Medicine Medicine & Public Health motion correction Movement Myocardium - pathology Noise Nuclear Medicine Original Article Phantoms, Imaging Positron Emission Tomography Computed Tomography Radiology Reproducibility of Results Respiration Respiratory gating Stroke Volume Systole Ventricular Function, Left |
| title | Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging |
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