Physical Performance of the new hybrid PET/CT Discovery-690

Purpose: The aim of this work was the assessment of the physical performance of the new hybrid PET/CT system: Discovery-690. Methods: The Discovery-690 combines a lutetium-yttrium-orthosilicate (LYSO) block detector designed PET tomograph with a 64-slice CT scanner. The system is further characteriz...

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Veröffentlicht in:Medical physics (Lancaster) 2011-10, Vol.38 (10), p.5394-5411
Hauptverfasser: Bettinardi, V., Presotto, L., Rapisarda, E., Picchio, M., Gianolli, L., Gilardi, M. C.
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container_issue 10
container_start_page 5394
container_title Medical physics (Lancaster)
container_volume 38
creator Bettinardi, V.
Presotto, L.
Rapisarda, E.
Picchio, M.
Gianolli, L.
Gilardi, M. C.
description Purpose: The aim of this work was the assessment of the physical performance of the new hybrid PET/CT system: Discovery-690. Methods: The Discovery-690 combines a lutetium-yttrium-orthosilicate (LYSO) block detector designed PET tomograph with a 64-slice CT scanner. The system is further characterized by a dedicated powerful computing platform implementing fully 3D-PET iterative reconstruction algorithms. These algorithms can account for time of flight (TOF) information and/or a 3D model of the PET point spread function (PSF). PET physical performance was measured following NEMA NU-2-2007 procedures. Furthermore, specific tests were used: (i) to measure the energy and timing resolution of the PET system and (ii) to evaluate image quality, by using phantoms representing different clinical conditions (e.g., brain and whole body). Data processing and reconstructions were performed as required by standard procedures. Further reconstructions were carried out to evaluate the performance of the new reconstruction algorithms. In particular, four algorithms were considered for the reconstruction of the PET data: (i) HD = standard configuration, without TOF and PSF, (ii) TOF = HD + TOF, (iii) PSF = HD + PSF, and (iv) TOFPSF = HD + TOF + PSF. Results: The transverse (axial) spatial resolution values were 4.70 (4.74) mm and 5.06 (5.55) mm at 1 cm and 10 cm off axis, respectively. Sensitivity (average between 0 and 10 cm) was 7.5 cps/kBq. The noise equivalent count rate (NECR) peak was 139.1 kcps at 29.0 kBq/ml. The scatter fraction at the NECR peak was 37%. The correction accuracy for the dead time losses and random event counts had a maximum absolute error below the NECR peak of 2.09%. The average energy and timing resolution were 12.4% and 544.3 ps, respectively. PET image quality was evaluated with the NEMA IEC Body phantom by using four reconstruction algorithms (HD, TOF, PSF, and TOFPSF), as previously described. The hot contrast (after 3 iterations and for a lesion/background activity ratio of 4:1) for the spheres of 10, 13, 17, and 22 mm was (HD) 29.8, 45.4, 55.4, and 68.1%; (TOF) 39.9, 53.5, 62.7, and 72.2%; (PSF) 28.3, 47.3, 60.4, and 71.8%; (TOFPSF) 43.8, 62.9, 70.6, and 76.4%. The cold contrast for the spheres of 28 and 37 mm was (HD) 62.4 and 65.2%; (TOF) 77.1 and 81.4%; (PSF) 62.0 and 65.2%; (TOFPSF) 77.3 and 81.6%. Similar hot and cold contrast trends were found during the analyses of other phantoms representing different clinical conditions (brain and w
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C.</creator><creatorcontrib>Bettinardi, V. ; Presotto, L. ; Rapisarda, E. ; Picchio, M. ; Gianolli, L. ; Gilardi, M. C.</creatorcontrib><description>Purpose: The aim of this work was the assessment of the physical performance of the new hybrid PET/CT system: Discovery-690. Methods: The Discovery-690 combines a lutetium-yttrium-orthosilicate (LYSO) block detector designed PET tomograph with a 64-slice CT scanner. The system is further characterized by a dedicated powerful computing platform implementing fully 3D-PET iterative reconstruction algorithms. These algorithms can account for time of flight (TOF) information and/or a 3D model of the PET point spread function (PSF). PET physical performance was measured following NEMA NU-2-2007 procedures. Furthermore, specific tests were used: (i) to measure the energy and timing resolution of the PET system and (ii) to evaluate image quality, by using phantoms representing different clinical conditions (e.g., brain and whole body). Data processing and reconstructions were performed as required by standard procedures. Further reconstructions were carried out to evaluate the performance of the new reconstruction algorithms. In particular, four algorithms were considered for the reconstruction of the PET data: (i) HD = standard configuration, without TOF and PSF, (ii) TOF = HD + TOF, (iii) PSF = HD + PSF, and (iv) TOFPSF = HD + TOF + PSF. Results: The transverse (axial) spatial resolution values were 4.70 (4.74) mm and 5.06 (5.55) mm at 1 cm and 10 cm off axis, respectively. Sensitivity (average between 0 and 10 cm) was 7.5 cps/kBq. The noise equivalent count rate (NECR) peak was 139.1 kcps at 29.0 kBq/ml. The scatter fraction at the NECR peak was 37%. The correction accuracy for the dead time losses and random event counts had a maximum absolute error below the NECR peak of 2.09%. The average energy and timing resolution were 12.4% and 544.3 ps, respectively. PET image quality was evaluated with the NEMA IEC Body phantom by using four reconstruction algorithms (HD, TOF, PSF, and TOFPSF), as previously described. The hot contrast (after 3 iterations and for a lesion/background activity ratio of 4:1) for the spheres of 10, 13, 17, and 22 mm was (HD) 29.8, 45.4, 55.4, and 68.1%; (TOF) 39.9, 53.5, 62.7, and 72.2%; (PSF) 28.3, 47.3, 60.4, and 71.8%; (TOFPSF) 43.8, 62.9, 70.6, and 76.4%. The cold contrast for the spheres of 28 and 37 mm was (HD) 62.4 and 65.2%; (TOF) 77.1 and 81.4%; (PSF) 62.0 and 65.2%; (TOFPSF) 77.3 and 81.6%. Similar hot and cold contrast trends were found during the analyses of other phantoms representing different clinical conditions (brain and whole body). Nevertheless, the authors observed a predominant role of either TOF or PSF, depending on the specific characteristics and dimensions of the phantoms. Conclusions: Discovery-690 shows very good PET physical performance for all the standard NEMA NU-2-2007 measurements. Furthermore, the new reconstruction algorithms available for PET data (TOF and PSF) allow further improvements of the D-690 image quality performance both qualitatively and quantitatively.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.3635220</identifier><identifier>PMID: 21992359</identifier><identifier>CODEN: MPHYA6</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>Algorithms ; Brain Neoplasms - diagnostic imaging ; Computed tomography ; Data analysis ; Discovery-690 ; Equipment Design ; Humans ; Image Processing, Computer-Assisted - methods ; image reconstruction ; Image scanners ; Imaging, Three-Dimensional ; iterative methods ; Lutetium - chemistry ; Medical image noise ; medical image processing ; Medical image quality ; Medical image reconstruction ; Medical imaging ; Models, Statistical ; NEMA NU-2-2007 performance ; Numerical approximation and analysis ; optical transfer function ; PET/CT ; phantoms ; Phantoms, Imaging ; positron emission tomography ; Positron emission tomography (PET) ; Positron-Emission Tomography - instrumentation ; Positron-Emission Tomography - methods ; PSF ; Reconstruction ; Reproducibility of Results ; Silicates - chemistry ; Spatial resolution ; TOF ; Tomography Scanners, X-Ray Computed ; Tomography, X-Ray Computed - methods ; Whole Body Imaging ; Yttrium - chemistry</subject><ispartof>Medical physics (Lancaster), 2011-10, Vol.38 (10), p.5394-5411</ispartof><rights>American Association of Physicists in Medicine</rights><rights>2011 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4430-544f99587f3272e25ef4adb17f6e4cf2f235c1223c0042beeb4e0599e6eff1853</citedby><cites>FETCH-LOGICAL-c4430-544f99587f3272e25ef4adb17f6e4cf2f235c1223c0042beeb4e0599e6eff1853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.3635220$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.3635220$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21992359$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bettinardi, V.</creatorcontrib><creatorcontrib>Presotto, L.</creatorcontrib><creatorcontrib>Rapisarda, E.</creatorcontrib><creatorcontrib>Picchio, M.</creatorcontrib><creatorcontrib>Gianolli, L.</creatorcontrib><creatorcontrib>Gilardi, M. C.</creatorcontrib><title>Physical Performance of the new hybrid PET/CT Discovery-690</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Purpose: The aim of this work was the assessment of the physical performance of the new hybrid PET/CT system: Discovery-690. Methods: The Discovery-690 combines a lutetium-yttrium-orthosilicate (LYSO) block detector designed PET tomograph with a 64-slice CT scanner. The system is further characterized by a dedicated powerful computing platform implementing fully 3D-PET iterative reconstruction algorithms. These algorithms can account for time of flight (TOF) information and/or a 3D model of the PET point spread function (PSF). PET physical performance was measured following NEMA NU-2-2007 procedures. Furthermore, specific tests were used: (i) to measure the energy and timing resolution of the PET system and (ii) to evaluate image quality, by using phantoms representing different clinical conditions (e.g., brain and whole body). Data processing and reconstructions were performed as required by standard procedures. Further reconstructions were carried out to evaluate the performance of the new reconstruction algorithms. In particular, four algorithms were considered for the reconstruction of the PET data: (i) HD = standard configuration, without TOF and PSF, (ii) TOF = HD + TOF, (iii) PSF = HD + PSF, and (iv) TOFPSF = HD + TOF + PSF. Results: The transverse (axial) spatial resolution values were 4.70 (4.74) mm and 5.06 (5.55) mm at 1 cm and 10 cm off axis, respectively. Sensitivity (average between 0 and 10 cm) was 7.5 cps/kBq. The noise equivalent count rate (NECR) peak was 139.1 kcps at 29.0 kBq/ml. The scatter fraction at the NECR peak was 37%. The correction accuracy for the dead time losses and random event counts had a maximum absolute error below the NECR peak of 2.09%. The average energy and timing resolution were 12.4% and 544.3 ps, respectively. PET image quality was evaluated with the NEMA IEC Body phantom by using four reconstruction algorithms (HD, TOF, PSF, and TOFPSF), as previously described. The hot contrast (after 3 iterations and for a lesion/background activity ratio of 4:1) for the spheres of 10, 13, 17, and 22 mm was (HD) 29.8, 45.4, 55.4, and 68.1%; (TOF) 39.9, 53.5, 62.7, and 72.2%; (PSF) 28.3, 47.3, 60.4, and 71.8%; (TOFPSF) 43.8, 62.9, 70.6, and 76.4%. The cold contrast for the spheres of 28 and 37 mm was (HD) 62.4 and 65.2%; (TOF) 77.1 and 81.4%; (PSF) 62.0 and 65.2%; (TOFPSF) 77.3 and 81.6%. Similar hot and cold contrast trends were found during the analyses of other phantoms representing different clinical conditions (brain and whole body). Nevertheless, the authors observed a predominant role of either TOF or PSF, depending on the specific characteristics and dimensions of the phantoms. Conclusions: Discovery-690 shows very good PET physical performance for all the standard NEMA NU-2-2007 measurements. Furthermore, the new reconstruction algorithms available for PET data (TOF and PSF) allow further improvements of the D-690 image quality performance both qualitatively and quantitatively.</description><subject>Algorithms</subject><subject>Brain Neoplasms - diagnostic imaging</subject><subject>Computed tomography</subject><subject>Data analysis</subject><subject>Discovery-690</subject><subject>Equipment Design</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>image reconstruction</subject><subject>Image scanners</subject><subject>Imaging, Three-Dimensional</subject><subject>iterative methods</subject><subject>Lutetium - chemistry</subject><subject>Medical image noise</subject><subject>medical image processing</subject><subject>Medical image quality</subject><subject>Medical image reconstruction</subject><subject>Medical imaging</subject><subject>Models, Statistical</subject><subject>NEMA NU-2-2007 performance</subject><subject>Numerical approximation and analysis</subject><subject>optical transfer function</subject><subject>PET/CT</subject><subject>phantoms</subject><subject>Phantoms, Imaging</subject><subject>positron emission tomography</subject><subject>Positron emission tomography (PET)</subject><subject>Positron-Emission Tomography - instrumentation</subject><subject>Positron-Emission Tomography - methods</subject><subject>PSF</subject><subject>Reconstruction</subject><subject>Reproducibility of Results</subject><subject>Silicates - chemistry</subject><subject>Spatial resolution</subject><subject>TOF</subject><subject>Tomography Scanners, X-Ray Computed</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Whole Body Imaging</subject><subject>Yttrium - chemistry</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kFtLwzAUgIMobk4f_APSN1HodnJrGwRB5rzAxD3M59CmJ6zSrTPZhf57K9tkIBMCefny5ZyPkEsKXUpp0qNdHnHJGByRNhMxDwUDdUzaAEqETIBskTPvPwGgweCUtBhVinGp2uRuNKl9YdIyGKGzlZumM4NBZYPFBIMZroNJnbkiD0aDca8_Dh4Lb6oVujqMFJyTE5uWHi-2d4d8PA3G_Zdw-P782n8YhkYIDqEUwiolk9hyFjNkEq1I84zGNkJhLLPNJIYyxg2AYBliJhCkUhihtTSRvEOuN965q76W6Bd62oyBZZnOsFp6nahEQsyb0yE3G9K4ynuHVs9dMU1drSnon1Sa6m2qhr3aWpfZFPNfctemAcINsC5KrA-b9NtoK7zf8N4Ui3RRVLPDb3bV9V71RnB7SLCq3N6H89z-B__d9Rtsz5-z</recordid><startdate>201110</startdate><enddate>201110</enddate><creator>Bettinardi, V.</creator><creator>Presotto, L.</creator><creator>Rapisarda, E.</creator><creator>Picchio, M.</creator><creator>Gianolli, L.</creator><creator>Gilardi, M. C.</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>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201110</creationdate><title>Physical Performance of the new hybrid PET/CT Discovery-690</title><author>Bettinardi, V. ; Presotto, L. ; Rapisarda, E. ; Picchio, M. ; Gianolli, L. ; Gilardi, M. C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4430-544f99587f3272e25ef4adb17f6e4cf2f235c1223c0042beeb4e0599e6eff1853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Algorithms</topic><topic>Brain Neoplasms - diagnostic imaging</topic><topic>Computed tomography</topic><topic>Data analysis</topic><topic>Discovery-690</topic><topic>Equipment Design</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>image reconstruction</topic><topic>Image scanners</topic><topic>Imaging, Three-Dimensional</topic><topic>iterative methods</topic><topic>Lutetium - chemistry</topic><topic>Medical image noise</topic><topic>medical image processing</topic><topic>Medical image quality</topic><topic>Medical image reconstruction</topic><topic>Medical imaging</topic><topic>Models, Statistical</topic><topic>NEMA NU-2-2007 performance</topic><topic>Numerical approximation and analysis</topic><topic>optical transfer function</topic><topic>PET/CT</topic><topic>phantoms</topic><topic>Phantoms, Imaging</topic><topic>positron emission tomography</topic><topic>Positron emission tomography (PET)</topic><topic>Positron-Emission Tomography - instrumentation</topic><topic>Positron-Emission Tomography - methods</topic><topic>PSF</topic><topic>Reconstruction</topic><topic>Reproducibility of Results</topic><topic>Silicates - chemistry</topic><topic>Spatial resolution</topic><topic>TOF</topic><topic>Tomography Scanners, X-Ray Computed</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Whole Body Imaging</topic><topic>Yttrium - chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bettinardi, V.</creatorcontrib><creatorcontrib>Presotto, L.</creatorcontrib><creatorcontrib>Rapisarda, E.</creatorcontrib><creatorcontrib>Picchio, M.</creatorcontrib><creatorcontrib>Gianolli, L.</creatorcontrib><creatorcontrib>Gilardi, M. C.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bettinardi, V.</au><au>Presotto, L.</au><au>Rapisarda, E.</au><au>Picchio, M.</au><au>Gianolli, L.</au><au>Gilardi, M. C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Physical Performance of the new hybrid PET/CT Discovery-690</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2011-10</date><risdate>2011</risdate><volume>38</volume><issue>10</issue><spage>5394</spage><epage>5411</epage><pages>5394-5411</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><coden>MPHYA6</coden><abstract>Purpose: The aim of this work was the assessment of the physical performance of the new hybrid PET/CT system: Discovery-690. Methods: The Discovery-690 combines a lutetium-yttrium-orthosilicate (LYSO) block detector designed PET tomograph with a 64-slice CT scanner. The system is further characterized by a dedicated powerful computing platform implementing fully 3D-PET iterative reconstruction algorithms. These algorithms can account for time of flight (TOF) information and/or a 3D model of the PET point spread function (PSF). PET physical performance was measured following NEMA NU-2-2007 procedures. Furthermore, specific tests were used: (i) to measure the energy and timing resolution of the PET system and (ii) to evaluate image quality, by using phantoms representing different clinical conditions (e.g., brain and whole body). Data processing and reconstructions were performed as required by standard procedures. Further reconstructions were carried out to evaluate the performance of the new reconstruction algorithms. In particular, four algorithms were considered for the reconstruction of the PET data: (i) HD = standard configuration, without TOF and PSF, (ii) TOF = HD + TOF, (iii) PSF = HD + PSF, and (iv) TOFPSF = HD + TOF + PSF. Results: The transverse (axial) spatial resolution values were 4.70 (4.74) mm and 5.06 (5.55) mm at 1 cm and 10 cm off axis, respectively. Sensitivity (average between 0 and 10 cm) was 7.5 cps/kBq. The noise equivalent count rate (NECR) peak was 139.1 kcps at 29.0 kBq/ml. The scatter fraction at the NECR peak was 37%. The correction accuracy for the dead time losses and random event counts had a maximum absolute error below the NECR peak of 2.09%. The average energy and timing resolution were 12.4% and 544.3 ps, respectively. PET image quality was evaluated with the NEMA IEC Body phantom by using four reconstruction algorithms (HD, TOF, PSF, and TOFPSF), as previously described. The hot contrast (after 3 iterations and for a lesion/background activity ratio of 4:1) for the spheres of 10, 13, 17, and 22 mm was (HD) 29.8, 45.4, 55.4, and 68.1%; (TOF) 39.9, 53.5, 62.7, and 72.2%; (PSF) 28.3, 47.3, 60.4, and 71.8%; (TOFPSF) 43.8, 62.9, 70.6, and 76.4%. The cold contrast for the spheres of 28 and 37 mm was (HD) 62.4 and 65.2%; (TOF) 77.1 and 81.4%; (PSF) 62.0 and 65.2%; (TOFPSF) 77.3 and 81.6%. Similar hot and cold contrast trends were found during the analyses of other phantoms representing different clinical conditions (brain and whole body). Nevertheless, the authors observed a predominant role of either TOF or PSF, depending on the specific characteristics and dimensions of the phantoms. Conclusions: Discovery-690 shows very good PET physical performance for all the standard NEMA NU-2-2007 measurements. Furthermore, the new reconstruction algorithms available for PET data (TOF and PSF) allow further improvements of the D-690 image quality performance both qualitatively and quantitatively.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>21992359</pmid><doi>10.1118/1.3635220</doi><tpages>18</tpages></addata></record>
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subjects Algorithms
Brain Neoplasms - diagnostic imaging
Computed tomography
Data analysis
Discovery-690
Equipment Design
Humans
Image Processing, Computer-Assisted - methods
image reconstruction
Image scanners
Imaging, Three-Dimensional
iterative methods
Lutetium - chemistry
Medical image noise
medical image processing
Medical image quality
Medical image reconstruction
Medical imaging
Models, Statistical
NEMA NU-2-2007 performance
Numerical approximation and analysis
optical transfer function
PET/CT
phantoms
Phantoms, Imaging
positron emission tomography
Positron emission tomography (PET)
Positron-Emission Tomography - instrumentation
Positron-Emission Tomography - methods
PSF
Reconstruction
Reproducibility of Results
Silicates - chemistry
Spatial resolution
TOF
Tomography Scanners, X-Ray Computed
Tomography, X-Ray Computed - methods
Whole Body Imaging
Yttrium - chemistry
title Physical Performance of the new hybrid PET/CT Discovery-690
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