Photorealistic three-dimensional visualization of fusion datasets: cinematic rendering of PET/CT
Purpose Cinematic rendering (CR) is a method of photorealistic 3D visualization of volumetric imaging data. We applied this technique to fusion PET/CT data. Methods Two recent PET/CT cases were selected, one each of prostate-specific membrane antigen (PSMA)-targeted 18 F-DCFPyL, and somatostatin-rec...
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| Veröffentlicht in: | Abdominal imaging 2022-11, Vol.47 (11), p.3916-3920 |
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| container_title | Abdominal imaging |
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| creator | Rowe, Steven P. Pomper, Martin G. Leal, Jeffrey P. Schneider, Robert Krüger, Sebastian Chu, Linda C. Fishman, Elliot K. |
| description | Purpose
Cinematic rendering (CR) is a method of photorealistic 3D visualization of volumetric imaging data. We applied this technique to fusion PET/CT data.
Methods
Two recent PET/CT cases were selected, one each of prostate-specific membrane antigen (PSMA)-targeted
18
F-DCFPyL, and somatostatin-receptor-targeted
68
Ga-DOTATATE. Targeted radiotracers were selected in order to provide high-contrast images for this proof-of-principle study. Cinematic rendering was performed with an enhanced algorithm that incorporated internal lighting within the PET-avid organs and lesions to allow for a distinct visual signature.
Results
The use of internal lighting for PET data provided CR of fused PET/CT scans. The interpreting radiologist must make judicious use of presets and cut planes in order to ensure important findings are not missed.
Conclusions
CR of PET/CT data provides a photorealistic means of visualizing complex fusion imaging datasets. Such visualizations may aid anatomic understanding for surgical or procedural applications, may improve teaching of trainees, and may allow improved communication with patients. |
| doi_str_mv | 10.1007/s00261-022-03614-1 |
| format | Article |
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Cinematic rendering (CR) is a method of photorealistic 3D visualization of volumetric imaging data. We applied this technique to fusion PET/CT data.
Methods
Two recent PET/CT cases were selected, one each of prostate-specific membrane antigen (PSMA)-targeted
18
F-DCFPyL, and somatostatin-receptor-targeted
68
Ga-DOTATATE. Targeted radiotracers were selected in order to provide high-contrast images for this proof-of-principle study. Cinematic rendering was performed with an enhanced algorithm that incorporated internal lighting within the PET-avid organs and lesions to allow for a distinct visual signature.
Results
The use of internal lighting for PET data provided CR of fused PET/CT scans. The interpreting radiologist must make judicious use of presets and cut planes in order to ensure important findings are not missed.
Conclusions
CR of PET/CT data provides a photorealistic means of visualizing complex fusion imaging datasets. Such visualizations may aid anatomic understanding for surgical or procedural applications, may improve teaching of trainees, and may allow improved communication with patients.</description><identifier>ISSN: 2366-0058</identifier><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-022-03614-1</identifier><identifier>PMID: 35916942</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>3-D graphics ; Algorithms ; Antigens ; Computed tomography ; Datasets ; Gastroenterology ; Hepatology ; Humans ; Image contrast ; Image enhancement ; Imaging ; Imaging, Three-Dimensional - methods ; Light ; Lighting ; Male ; Medical imaging ; Medicine ; Medicine & Public Health ; Positron emission ; Positron Emission Tomography Computed Tomography ; Positron-Emission Tomography ; Prostate ; Radioactive tracers ; Radiographic Image Interpretation, Computer-Assisted - methods ; Radiology ; Radionuclide Imaging ; Rendering ; Software ; Somatostatin ; Technical ; Tomography ; Tomography, X-Ray Computed - methods ; Visualization</subject><ispartof>Abdominal imaging, 2022-11, Vol.47 (11), p.3916-3920</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c305t-f09706a400853b217f6d9f2431e84b8b3b301143b97489f0e349847bbc2e8e3a3</citedby><cites>FETCH-LOGICAL-c305t-f09706a400853b217f6d9f2431e84b8b3b301143b97489f0e349847bbc2e8e3a3</cites><orcidid>0000-0003-2897-4694</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/s00261-022-03614-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-022-03614-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35916942$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rowe, Steven P.</creatorcontrib><creatorcontrib>Pomper, Martin G.</creatorcontrib><creatorcontrib>Leal, Jeffrey P.</creatorcontrib><creatorcontrib>Schneider, Robert</creatorcontrib><creatorcontrib>Krüger, Sebastian</creatorcontrib><creatorcontrib>Chu, Linda C.</creatorcontrib><creatorcontrib>Fishman, Elliot K.</creatorcontrib><title>Photorealistic three-dimensional visualization of fusion datasets: cinematic rendering of PET/CT</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Purpose
Cinematic rendering (CR) is a method of photorealistic 3D visualization of volumetric imaging data. We applied this technique to fusion PET/CT data.
Methods
Two recent PET/CT cases were selected, one each of prostate-specific membrane antigen (PSMA)-targeted
18
F-DCFPyL, and somatostatin-receptor-targeted
68
Ga-DOTATATE. Targeted radiotracers were selected in order to provide high-contrast images for this proof-of-principle study. Cinematic rendering was performed with an enhanced algorithm that incorporated internal lighting within the PET-avid organs and lesions to allow for a distinct visual signature.
Results
The use of internal lighting for PET data provided CR of fused PET/CT scans. The interpreting radiologist must make judicious use of presets and cut planes in order to ensure important findings are not missed.
Conclusions
CR of PET/CT data provides a photorealistic means of visualizing complex fusion imaging datasets. Such visualizations may aid anatomic understanding for surgical or procedural applications, may improve teaching of trainees, and may allow improved communication with patients.</description><subject>3-D graphics</subject><subject>Algorithms</subject><subject>Antigens</subject><subject>Computed tomography</subject><subject>Datasets</subject><subject>Gastroenterology</subject><subject>Hepatology</subject><subject>Humans</subject><subject>Image contrast</subject><subject>Image enhancement</subject><subject>Imaging</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Light</subject><subject>Lighting</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Positron emission</subject><subject>Positron Emission Tomography Computed Tomography</subject><subject>Positron-Emission Tomography</subject><subject>Prostate</subject><subject>Radioactive tracers</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Radiology</subject><subject>Radionuclide Imaging</subject><subject>Rendering</subject><subject>Software</subject><subject>Somatostatin</subject><subject>Technical</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Visualization</subject><issn>2366-0058</issn><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kctO5DAQRS3ECBDDD7BAkdiwCVTZjhOzQ63mISHBomftcZIKGOXR2AkS8_Xj0DCDWLAql-rULflexg4RThEgPwsAXGEKnKcgFMoUt9geF0qlAFmx_em9yw5CeAIAVBkiz3bYrsg0Ki35Hvt9_ziMgyfbujC6KhkfPVFau4764IbetsmLC1Oc_rFj7JOhSZppniS1HW2gMZwnleups_O2p74m7_qHmbtfrs4Wq5_sR2PbQAfvdZ_9ulyuFtfp7d3VzeLiNq0EZGPagM5BWQlQZKLkmDeq1g2XAqmQZVGKUgCiFKXOZaEbICF1IfOyrDgVJKzYZycb3bUfnicKo-lcqKhtbU_DFAxXOo-OoMaIHn9Bn4bJx79GKudSYq6kihTfUJUfQvDUmLV3nfWvBsHMEZhNBCZGYN4iMLP00bv0VHZU_1v5MDwCYgOE9ewT-f-3v5H9C1BHj_8</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Rowe, Steven P.</creator><creator>Pomper, Martin G.</creator><creator>Leal, Jeffrey P.</creator><creator>Schneider, Robert</creator><creator>Krüger, Sebastian</creator><creator>Chu, Linda C.</creator><creator>Fishman, Elliot K.</creator><general>Springer US</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2897-4694</orcidid></search><sort><creationdate>20221101</creationdate><title>Photorealistic three-dimensional visualization of fusion datasets: cinematic rendering of PET/CT</title><author>Rowe, Steven P. ; Pomper, Martin G. ; Leal, Jeffrey P. ; Schneider, Robert ; Krüger, Sebastian ; Chu, Linda C. ; Fishman, Elliot K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c305t-f09706a400853b217f6d9f2431e84b8b3b301143b97489f0e349847bbc2e8e3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>3-D graphics</topic><topic>Algorithms</topic><topic>Antigens</topic><topic>Computed tomography</topic><topic>Datasets</topic><topic>Gastroenterology</topic><topic>Hepatology</topic><topic>Humans</topic><topic>Image contrast</topic><topic>Image enhancement</topic><topic>Imaging</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Light</topic><topic>Lighting</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Positron emission</topic><topic>Positron Emission Tomography Computed Tomography</topic><topic>Positron-Emission Tomography</topic><topic>Prostate</topic><topic>Radioactive tracers</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Radiology</topic><topic>Radionuclide Imaging</topic><topic>Rendering</topic><topic>Software</topic><topic>Somatostatin</topic><topic>Technical</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rowe, Steven P.</creatorcontrib><creatorcontrib>Pomper, Martin G.</creatorcontrib><creatorcontrib>Leal, Jeffrey P.</creatorcontrib><creatorcontrib>Schneider, Robert</creatorcontrib><creatorcontrib>Krüger, Sebastian</creatorcontrib><creatorcontrib>Chu, Linda C.</creatorcontrib><creatorcontrib>Fishman, Elliot K.</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 Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rowe, Steven P.</au><au>Pomper, Martin G.</au><au>Leal, Jeffrey P.</au><au>Schneider, Robert</au><au>Krüger, Sebastian</au><au>Chu, Linda C.</au><au>Fishman, Elliot K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Photorealistic three-dimensional visualization of fusion datasets: cinematic rendering of PET/CT</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>47</volume><issue>11</issue><spage>3916</spage><epage>3920</epage><pages>3916-3920</pages><issn>2366-0058</issn><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>Purpose
Cinematic rendering (CR) is a method of photorealistic 3D visualization of volumetric imaging data. We applied this technique to fusion PET/CT data.
Methods
Two recent PET/CT cases were selected, one each of prostate-specific membrane antigen (PSMA)-targeted
18
F-DCFPyL, and somatostatin-receptor-targeted
68
Ga-DOTATATE. Targeted radiotracers were selected in order to provide high-contrast images for this proof-of-principle study. Cinematic rendering was performed with an enhanced algorithm that incorporated internal lighting within the PET-avid organs and lesions to allow for a distinct visual signature.
Results
The use of internal lighting for PET data provided CR of fused PET/CT scans. The interpreting radiologist must make judicious use of presets and cut planes in order to ensure important findings are not missed.
Conclusions
CR of PET/CT data provides a photorealistic means of visualizing complex fusion imaging datasets. Such visualizations may aid anatomic understanding for surgical or procedural applications, may improve teaching of trainees, and may allow improved communication with patients.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>35916942</pmid><doi>10.1007/s00261-022-03614-1</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0003-2897-4694</orcidid></addata></record> |
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| ispartof | Abdominal imaging, 2022-11, Vol.47 (11), p.3916-3920 |
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| subjects | 3-D graphics Algorithms Antigens Computed tomography Datasets Gastroenterology Hepatology Humans Image contrast Image enhancement Imaging Imaging, Three-Dimensional - methods Light Lighting Male Medical imaging Medicine Medicine & Public Health Positron emission Positron Emission Tomography Computed Tomography Positron-Emission Tomography Prostate Radioactive tracers Radiographic Image Interpretation, Computer-Assisted - methods Radiology Radionuclide Imaging Rendering Software Somatostatin Technical Tomography Tomography, X-Ray Computed - methods Visualization |
| title | Photorealistic three-dimensional visualization of fusion datasets: cinematic rendering of PET/CT |
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