Brain partial volume correction with point spreading function reconstruction in high-resolution digital PET: comparison with an MR-based method in FDG imaging
Objective In quantitative positron emission tomography (PET) of the brain, partial volume effect due mainly to the finite spatial resolution of the PET scanner (> 3 mm full width at half maximum [FWHM]) is a primary source of error in the measurement of tracer uptake, especially in small structur...
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| Veröffentlicht in: | Annals of nuclear medicine 2022-08, Vol.36 (8), p.717-727 |
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| creator | Ibaraki, Masanobu Matsubara, Keisuke Shinohara, Yuki Shidahara, Miho Sato, Kaoru Yamamoto, Hiroyuki Kinoshita, Toshibumi |
| description | Objective
In quantitative positron emission tomography (PET) of the brain, partial volume effect due mainly to the finite spatial resolution of the PET scanner (> 3 mm full width at half maximum [FWHM]) is a primary source of error in the measurement of tracer uptake, especially in small structures such as the cerebral cortex (typically |
| doi_str_mv | 10.1007/s12149-022-01753-5 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9304042</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2670063706</sourcerecordid><originalsourceid>FETCH-LOGICAL-c498t-b1c89f96dffc19c953a736b1d46cb66a01b6f238a35065fb8b0630a146bed4893</originalsourceid><addsrcrecordid>eNp9kU1vFSEUhonR2OvVP-DCkLhxg_I1DLgw0X5pUqMxdU2YGWaGZgZuganpn_G3yu209WPhghA4L897Di8Azwl-TTCu3yRCCVcIU4owqSuGqgdgQ6TgSHDGHoINVoSjmsj6ADxJ6QJjKitJH4MDVgkiJJYb8PNDNM7DnYnZmQlehWmZLWxDjLbNLnj4w-UR7oLzGaZdtKZzfoD94tdqUQWfclzWYyGNbhhRtKmAbq46N7hcyF-Pz98W7lycXLrjGg8_f0ONSbaDs81j6PaIk6NT6GYzFKen4FFvpmSf3e5b8P3k-PzwIzr7cvrp8P0ZarmSGTWklapXouv7lqhWVczUTDSk46JthDCYNKKnTBpWYVH1jWywYNgQLhrbcanYFrxbubulmW3XWp-jmfQulj7itQ7G6b8r3o16CFdaMcwxpwXw6hYQw-ViU9azS62dJuNtWJKmosbFsy5rC17-I70IS_RlvKJStGaMljC3gK6qNoaUou3vmyFY7-PXa_y6xK9v4tf7Ry_-HOP-yV3eRcBWQcmyfK-Nv73_g_0FL_S-ng</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2692733275</pqid></control><display><type>article</type><title>Brain partial volume correction with point spreading function reconstruction in high-resolution digital PET: comparison with an MR-based method in FDG imaging</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Ibaraki, Masanobu ; Matsubara, Keisuke ; Shinohara, Yuki ; Shidahara, Miho ; Sato, Kaoru ; Yamamoto, Hiroyuki ; Kinoshita, Toshibumi</creator><creatorcontrib>Ibaraki, Masanobu ; Matsubara, Keisuke ; Shinohara, Yuki ; Shidahara, Miho ; Sato, Kaoru ; Yamamoto, Hiroyuki ; Kinoshita, Toshibumi</creatorcontrib><description>Objective
In quantitative positron emission tomography (PET) of the brain, partial volume effect due mainly to the finite spatial resolution of the PET scanner (> 3 mm full width at half maximum [FWHM]) is a primary source of error in the measurement of tracer uptake, especially in small structures such as the cerebral cortex (typically < 3 mm thickness). The aim of this study was to evaluate the partial volume correction (PVC) performance of point spread function-incorporated reconstruction (PSF reconstruction) in combination with the latest digital PET scanner. This evaluation was performed through direct comparisons with magnetic resonance imaging (MR)-based PVC (used as a reference method) in a human brain study.
Methods
Ten healthy subjects underwent brain
18
F-FDG PET (30-min acquisition) on a digital PET/CT system (Siemens Biograph Vision, 3.5-mm FWHM scanner resolution at the center of the field of view) and anatomical T1-weighted MR imaging for MR-based PVC. PSF reconstruction was applied with a wide range of iterations (4 to 256; 5 subsets). FDG uptake in the cerebral cortex was evaluated using the standardized uptake value ratio (SUVR) and compared between PSF reconstruction and MR-based PVC.
Results
Cortical structures were visualized by PSF reconstruction with several tens of iterations and were anatomically well matched with the MR-derived cortical segments. Higher numbers of iterations resulted in higher cortical SUVRs, which approached those of MR-based PVC (1.76), although even with the maximum number of iterations they were still smaller by 16% (1.47), corresponding to approximately 1.5-mm FWHM of the effective spatial resolution.
Conclusion
With the latest digital PET scanner, PSF reconstruction can be used as a PVC technique in brain PET, albeit with suboptimal resolution recovery. A relative advantage of PSF reconstruction is that it can be applied not only to cerebral cortical regions, but also to various small structures such as small brain nuclei that are hardly visualized on anatomical T1-weighted imaging, and thus hardly recovered by MR-based PVC.</description><identifier>ISSN: 0914-7187</identifier><identifier>EISSN: 1864-6433</identifier><identifier>DOI: 10.1007/s12149-022-01753-5</identifier><identifier>PMID: 35616808</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Algorithms ; Brain ; Brain - diagnostic imaging ; Cerebral cortex ; Computed tomography ; Digital imaging ; Error analysis ; Field of view ; Fluorodeoxyglucose F18 ; Humans ; Image Processing, Computer-Assisted - methods ; Imaging ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Medical imaging ; Medicine ; Medicine & Public Health ; Neuroimaging ; Nuclear Medicine ; Original ; Original Article ; Phantoms, Imaging ; Point spread functions ; Positron emission ; Positron emission tomography ; Positron Emission Tomography Computed Tomography ; Positron-Emission Tomography - methods ; Radiology ; Reconstruction ; Scanners ; Spatial discrimination ; Spatial resolution ; Tomography</subject><ispartof>Annals of nuclear medicine, 2022-08, Vol.36 (8), p.717-727</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c498t-b1c89f96dffc19c953a736b1d46cb66a01b6f238a35065fb8b0630a146bed4893</citedby><cites>FETCH-LOGICAL-c498t-b1c89f96dffc19c953a736b1d46cb66a01b6f238a35065fb8b0630a146bed4893</cites><orcidid>0000-0002-4280-6470</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12149-022-01753-5$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12149-022-01753-5$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35616808$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ibaraki, Masanobu</creatorcontrib><creatorcontrib>Matsubara, Keisuke</creatorcontrib><creatorcontrib>Shinohara, Yuki</creatorcontrib><creatorcontrib>Shidahara, Miho</creatorcontrib><creatorcontrib>Sato, Kaoru</creatorcontrib><creatorcontrib>Yamamoto, Hiroyuki</creatorcontrib><creatorcontrib>Kinoshita, Toshibumi</creatorcontrib><title>Brain partial volume correction with point spreading function reconstruction in high-resolution digital PET: comparison with an MR-based method in FDG imaging</title><title>Annals of nuclear medicine</title><addtitle>Ann Nucl Med</addtitle><addtitle>Ann Nucl Med</addtitle><description>Objective
In quantitative positron emission tomography (PET) of the brain, partial volume effect due mainly to the finite spatial resolution of the PET scanner (> 3 mm full width at half maximum [FWHM]) is a primary source of error in the measurement of tracer uptake, especially in small structures such as the cerebral cortex (typically < 3 mm thickness). The aim of this study was to evaluate the partial volume correction (PVC) performance of point spread function-incorporated reconstruction (PSF reconstruction) in combination with the latest digital PET scanner. This evaluation was performed through direct comparisons with magnetic resonance imaging (MR)-based PVC (used as a reference method) in a human brain study.
Methods
Ten healthy subjects underwent brain
18
F-FDG PET (30-min acquisition) on a digital PET/CT system (Siemens Biograph Vision, 3.5-mm FWHM scanner resolution at the center of the field of view) and anatomical T1-weighted MR imaging for MR-based PVC. PSF reconstruction was applied with a wide range of iterations (4 to 256; 5 subsets). FDG uptake in the cerebral cortex was evaluated using the standardized uptake value ratio (SUVR) and compared between PSF reconstruction and MR-based PVC.
Results
Cortical structures were visualized by PSF reconstruction with several tens of iterations and were anatomically well matched with the MR-derived cortical segments. Higher numbers of iterations resulted in higher cortical SUVRs, which approached those of MR-based PVC (1.76), although even with the maximum number of iterations they were still smaller by 16% (1.47), corresponding to approximately 1.5-mm FWHM of the effective spatial resolution.
Conclusion
With the latest digital PET scanner, PSF reconstruction can be used as a PVC technique in brain PET, albeit with suboptimal resolution recovery. A relative advantage of PSF reconstruction is that it can be applied not only to cerebral cortical regions, but also to various small structures such as small brain nuclei that are hardly visualized on anatomical T1-weighted imaging, and thus hardly recovered by MR-based PVC.</description><subject>Algorithms</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Cerebral cortex</subject><subject>Computed tomography</subject><subject>Digital imaging</subject><subject>Error analysis</subject><subject>Field of view</subject><subject>Fluorodeoxyglucose F18</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neuroimaging</subject><subject>Nuclear Medicine</subject><subject>Original</subject><subject>Original Article</subject><subject>Phantoms, Imaging</subject><subject>Point spread functions</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Positron Emission Tomography Computed Tomography</subject><subject>Positron-Emission Tomography - methods</subject><subject>Radiology</subject><subject>Reconstruction</subject><subject>Scanners</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Tomography</subject><issn>0914-7187</issn><issn>1864-6433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9kU1vFSEUhonR2OvVP-DCkLhxg_I1DLgw0X5pUqMxdU2YGWaGZgZuganpn_G3yu209WPhghA4L897Di8Azwl-TTCu3yRCCVcIU4owqSuGqgdgQ6TgSHDGHoINVoSjmsj6ADxJ6QJjKitJH4MDVgkiJJYb8PNDNM7DnYnZmQlehWmZLWxDjLbNLnj4w-UR7oLzGaZdtKZzfoD94tdqUQWfclzWYyGNbhhRtKmAbq46N7hcyF-Pz98W7lycXLrjGg8_f0ONSbaDs81j6PaIk6NT6GYzFKen4FFvpmSf3e5b8P3k-PzwIzr7cvrp8P0ZarmSGTWklapXouv7lqhWVczUTDSk46JthDCYNKKnTBpWYVH1jWywYNgQLhrbcanYFrxbubulmW3XWp-jmfQulj7itQ7G6b8r3o16CFdaMcwxpwXw6hYQw-ViU9azS62dJuNtWJKmosbFsy5rC17-I70IS_RlvKJStGaMljC3gK6qNoaUou3vmyFY7-PXa_y6xK9v4tf7Ry_-HOP-yV3eRcBWQcmyfK-Nv73_g_0FL_S-ng</recordid><startdate>20220801</startdate><enddate>20220801</enddate><creator>Ibaraki, Masanobu</creator><creator>Matsubara, Keisuke</creator><creator>Shinohara, Yuki</creator><creator>Shidahara, Miho</creator><creator>Sato, Kaoru</creator><creator>Yamamoto, Hiroyuki</creator><creator>Kinoshita, Toshibumi</creator><general>Springer Nature Singapore</general><general>Springer Nature B.V</general><scope>C6C</scope><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>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4280-6470</orcidid></search><sort><creationdate>20220801</creationdate><title>Brain partial volume correction with point spreading function reconstruction in high-resolution digital PET: comparison with an MR-based method in FDG imaging</title><author>Ibaraki, Masanobu ; Matsubara, Keisuke ; Shinohara, Yuki ; Shidahara, Miho ; Sato, Kaoru ; Yamamoto, Hiroyuki ; Kinoshita, Toshibumi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c498t-b1c89f96dffc19c953a736b1d46cb66a01b6f238a35065fb8b0630a146bed4893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Brain</topic><topic>Brain - diagnostic imaging</topic><topic>Cerebral cortex</topic><topic>Computed tomography</topic><topic>Digital imaging</topic><topic>Error analysis</topic><topic>Field of view</topic><topic>Fluorodeoxyglucose F18</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neuroimaging</topic><topic>Nuclear Medicine</topic><topic>Original</topic><topic>Original Article</topic><topic>Phantoms, Imaging</topic><topic>Point spread functions</topic><topic>Positron emission</topic><topic>Positron emission tomography</topic><topic>Positron Emission Tomography Computed Tomography</topic><topic>Positron-Emission Tomography - methods</topic><topic>Radiology</topic><topic>Reconstruction</topic><topic>Scanners</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ibaraki, Masanobu</creatorcontrib><creatorcontrib>Matsubara, Keisuke</creatorcontrib><creatorcontrib>Shinohara, Yuki</creatorcontrib><creatorcontrib>Shidahara, Miho</creatorcontrib><creatorcontrib>Sato, Kaoru</creatorcontrib><creatorcontrib>Yamamoto, Hiroyuki</creatorcontrib><creatorcontrib>Kinoshita, Toshibumi</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Annals of nuclear medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ibaraki, Masanobu</au><au>Matsubara, Keisuke</au><au>Shinohara, Yuki</au><au>Shidahara, Miho</au><au>Sato, Kaoru</au><au>Yamamoto, Hiroyuki</au><au>Kinoshita, Toshibumi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain partial volume correction with point spreading function reconstruction in high-resolution digital PET: comparison with an MR-based method in FDG imaging</atitle><jtitle>Annals of nuclear medicine</jtitle><stitle>Ann Nucl Med</stitle><addtitle>Ann Nucl Med</addtitle><date>2022-08-01</date><risdate>2022</risdate><volume>36</volume><issue>8</issue><spage>717</spage><epage>727</epage><pages>717-727</pages><issn>0914-7187</issn><eissn>1864-6433</eissn><abstract>Objective
In quantitative positron emission tomography (PET) of the brain, partial volume effect due mainly to the finite spatial resolution of the PET scanner (> 3 mm full width at half maximum [FWHM]) is a primary source of error in the measurement of tracer uptake, especially in small structures such as the cerebral cortex (typically < 3 mm thickness). The aim of this study was to evaluate the partial volume correction (PVC) performance of point spread function-incorporated reconstruction (PSF reconstruction) in combination with the latest digital PET scanner. This evaluation was performed through direct comparisons with magnetic resonance imaging (MR)-based PVC (used as a reference method) in a human brain study.
Methods
Ten healthy subjects underwent brain
18
F-FDG PET (30-min acquisition) on a digital PET/CT system (Siemens Biograph Vision, 3.5-mm FWHM scanner resolution at the center of the field of view) and anatomical T1-weighted MR imaging for MR-based PVC. PSF reconstruction was applied with a wide range of iterations (4 to 256; 5 subsets). FDG uptake in the cerebral cortex was evaluated using the standardized uptake value ratio (SUVR) and compared between PSF reconstruction and MR-based PVC.
Results
Cortical structures were visualized by PSF reconstruction with several tens of iterations and were anatomically well matched with the MR-derived cortical segments. Higher numbers of iterations resulted in higher cortical SUVRs, which approached those of MR-based PVC (1.76), although even with the maximum number of iterations they were still smaller by 16% (1.47), corresponding to approximately 1.5-mm FWHM of the effective spatial resolution.
Conclusion
With the latest digital PET scanner, PSF reconstruction can be used as a PVC technique in brain PET, albeit with suboptimal resolution recovery. A relative advantage of PSF reconstruction is that it can be applied not only to cerebral cortical regions, but also to various small structures such as small brain nuclei that are hardly visualized on anatomical T1-weighted imaging, and thus hardly recovered by MR-based PVC.</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><pmid>35616808</pmid><doi>10.1007/s12149-022-01753-5</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-4280-6470</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Brain Brain - diagnostic imaging Cerebral cortex Computed tomography Digital imaging Error analysis Field of view Fluorodeoxyglucose F18 Humans Image Processing, Computer-Assisted - methods Imaging Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Medicine Medicine & Public Health Neuroimaging Nuclear Medicine Original Original Article Phantoms, Imaging Point spread functions Positron emission Positron emission tomography Positron Emission Tomography Computed Tomography Positron-Emission Tomography - methods Radiology Reconstruction Scanners Spatial discrimination Spatial resolution Tomography |
| title | Brain partial volume correction with point spreading function reconstruction in high-resolution digital PET: comparison with an MR-based method in FDG imaging |
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