Calculating internal dose by convolution from SPECT/MR fusion images
A new computer program was developed to calculate the absorbed dose. The program is based on the use of the convolution method and abdominal SPECT/MR fusion images. The applicability of the method was demonstrated by using data from (111)In-labeled thrombocyte and 99mTc-labeled colloid studies of th...
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Veröffentlicht in: | Annals of nuclear medicine 1998-02, Vol.12 (1), p.1-5 |
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description | A new computer program was developed to calculate the absorbed dose. The program is based on the use of the convolution method and abdominal SPECT/MR fusion images. The applicability of the method was demonstrated by using data from (111)In-labeled thrombocyte and 99mTc-labeled colloid studies of three healthy volunteers. Dose distributions in the volunteers and the average absorbed doses in liver and spleen were calculated. The average doses for 99mTc-labeled colloid study were 0.07 +/- 0.02 (liver) and 0.046 +/- 0.005 mGy/MBq (spleen). The results are in good agreement with a Monte Carlo (MC) based method (0.074 for liver and 0.077 mGy/MBq for spleen) used by the International Commission on Radiological Protection (ICRP). For (111)In-labeled thrombocyte study the doses were 0.33 +/- 0.05 (liver) and 8.9 +/- 1.2 mGy/MBq (spleen) versus 0.730 and 7.50, respectively. The differences in dose estimates in the (111)In-labeled thrombocyte study are mainly due to the approximation used in activity quantitation. Convolution of the activity distribution with a point dose kernel is an effective method for calculating absorbed dose distribution in a homogeneous media. Activity distribution must be aligned to anatomical data in order to utilize the calculated dose distribution. The program developed is applicable to and practical for clinical use provided that the input data needed are available. |
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The program is based on the use of the convolution method and abdominal SPECT/MR fusion images. The applicability of the method was demonstrated by using data from (111)In-labeled thrombocyte and 99mTc-labeled colloid studies of three healthy volunteers. Dose distributions in the volunteers and the average absorbed doses in liver and spleen were calculated. The average doses for 99mTc-labeled colloid study were 0.07 +/- 0.02 (liver) and 0.046 +/- 0.005 mGy/MBq (spleen). The results are in good agreement with a Monte Carlo (MC) based method (0.074 for liver and 0.077 mGy/MBq for spleen) used by the International Commission on Radiological Protection (ICRP). For (111)In-labeled thrombocyte study the doses were 0.33 +/- 0.05 (liver) and 8.9 +/- 1.2 mGy/MBq (spleen) versus 0.730 and 7.50, respectively. The differences in dose estimates in the (111)In-labeled thrombocyte study are mainly due to the approximation used in activity quantitation. Convolution of the activity distribution with a point dose kernel is an effective method for calculating absorbed dose distribution in a homogeneous media. Activity distribution must be aligned to anatomical data in order to utilize the calculated dose distribution. The program developed is applicable to and practical for clinical use provided that the input data needed are available.</description><identifier>ISSN: 0914-7187</identifier><identifier>EISSN: 1864-6433</identifier><identifier>DOI: 10.1007/BF03165409</identifier><identifier>PMID: 9559955</identifier><language>eng</language><publisher>Japan: Springer Nature B.V</publisher><subject>Humans ; Indium Radioisotopes - therapeutic use ; Liver - anatomy & histology ; Liver - diagnostic imaging ; Magnetic Resonance Imaging - statistics & numerical data ; Phantoms, Imaging ; Radiotherapy Planning, Computer-Assisted - methods ; Software ; Spleen ; Spleen - anatomy & histology ; Spleen - diagnostic imaging ; Studies ; Technetium - therapeutic use ; Tomography, Emission-Computed, Single-Photon - statistics & numerical data</subject><ispartof>Annals of nuclear medicine, 1998-02, Vol.12 (1), p.1-5</ispartof><rights>Springer-Verlag 1998</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c287t-7c7451068711c2740e152d5ce7bbf009b968d2d74affcf4688df62e7e85f4c2f3</citedby><cites>FETCH-LOGICAL-c287t-7c7451068711c2740e152d5ce7bbf009b968d2d74affcf4688df62e7e85f4c2f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9559955$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lampinen, J S</creatorcontrib><creatorcontrib>Pohjonen, H K</creatorcontrib><creatorcontrib>Savolainen, S E</creatorcontrib><title>Calculating internal dose by convolution from SPECT/MR fusion images</title><title>Annals of nuclear medicine</title><addtitle>Ann Nucl Med</addtitle><description>A new computer program was developed to calculate the absorbed dose. The program is based on the use of the convolution method and abdominal SPECT/MR fusion images. The applicability of the method was demonstrated by using data from (111)In-labeled thrombocyte and 99mTc-labeled colloid studies of three healthy volunteers. Dose distributions in the volunteers and the average absorbed doses in liver and spleen were calculated. The average doses for 99mTc-labeled colloid study were 0.07 +/- 0.02 (liver) and 0.046 +/- 0.005 mGy/MBq (spleen). The results are in good agreement with a Monte Carlo (MC) based method (0.074 for liver and 0.077 mGy/MBq for spleen) used by the International Commission on Radiological Protection (ICRP). For (111)In-labeled thrombocyte study the doses were 0.33 +/- 0.05 (liver) and 8.9 +/- 1.2 mGy/MBq (spleen) versus 0.730 and 7.50, respectively. The differences in dose estimates in the (111)In-labeled thrombocyte study are mainly due to the approximation used in activity quantitation. Convolution of the activity distribution with a point dose kernel is an effective method for calculating absorbed dose distribution in a homogeneous media. Activity distribution must be aligned to anatomical data in order to utilize the calculated dose distribution. The program developed is applicable to and practical for clinical use provided that the input data needed are available.</description><subject>Humans</subject><subject>Indium Radioisotopes - therapeutic use</subject><subject>Liver - anatomy & histology</subject><subject>Liver - diagnostic imaging</subject><subject>Magnetic Resonance Imaging - statistics & numerical data</subject><subject>Phantoms, Imaging</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Software</subject><subject>Spleen</subject><subject>Spleen - anatomy & histology</subject><subject>Spleen - diagnostic imaging</subject><subject>Studies</subject><subject>Technetium - therapeutic use</subject><subject>Tomography, Emission-Computed, Single-Photon - statistics & numerical data</subject><issn>0914-7187</issn><issn>1864-6433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqF0U1Lw0AQBuBFlFo_Lt6F4EFBiJ3d7OdRY6tCRdF6Dslmt6Sk2ZpNhP57E1sUPOhhGBge3sO8CJ1guMIAYnQzgQhzRkHtoCGWnIacRtEuGoLCNBRYin104P0CgEgmyQANFGOqmyG6jdNSt2XaFNU8KKrG1FVaBrnzJsjWgXbVhyvbpnBVYGu3DF6fx_Fs9PgS2Nb3x2KZzo0_Qns2Lb053u5D9DYZz-L7cPp09xBfT0NNpGhCoQVlGLgUGGsiKBjMSM60EVlmAVSmuMxJLmhqrbaUS5lbTowwklmqiY0O0cUmd1W799b4JlkWXpuyTCvjWp8oRplQBFQnz_-UQklQVPF_IcGYUPhKPPsFF67tn9UbBgwrRTt0uUG6dt7XxiaruntRvU4wJH1VyU9VHT7dJrbZ0uTfdNtN9AniHYuV</recordid><startdate>199802</startdate><enddate>199802</enddate><creator>Lampinen, J S</creator><creator>Pohjonen, H K</creator><creator>Savolainen, S E</creator><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>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</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>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>199802</creationdate><title>Calculating internal dose by convolution from SPECT/MR fusion images</title><author>Lampinen, J S ; Pohjonen, H K ; Savolainen, S E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c287t-7c7451068711c2740e152d5ce7bbf009b968d2d74affcf4688df62e7e85f4c2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Humans</topic><topic>Indium Radioisotopes - therapeutic use</topic><topic>Liver - anatomy & histology</topic><topic>Liver - diagnostic imaging</topic><topic>Magnetic Resonance Imaging - statistics & numerical data</topic><topic>Phantoms, Imaging</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Software</topic><topic>Spleen</topic><topic>Spleen - anatomy & histology</topic><topic>Spleen - diagnostic imaging</topic><topic>Studies</topic><topic>Technetium - therapeutic use</topic><topic>Tomography, Emission-Computed, Single-Photon - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lampinen, J S</creatorcontrib><creatorcontrib>Pohjonen, H K</creatorcontrib><creatorcontrib>Savolainen, S E</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>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</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>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>Research Library (Alumni Edition)</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>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</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>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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 Basic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Annals of nuclear medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lampinen, J S</au><au>Pohjonen, H K</au><au>Savolainen, S E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Calculating internal dose by convolution from SPECT/MR fusion images</atitle><jtitle>Annals of nuclear medicine</jtitle><addtitle>Ann Nucl Med</addtitle><date>1998-02</date><risdate>1998</risdate><volume>12</volume><issue>1</issue><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>0914-7187</issn><eissn>1864-6433</eissn><abstract>A new computer program was developed to calculate the absorbed dose. The program is based on the use of the convolution method and abdominal SPECT/MR fusion images. The applicability of the method was demonstrated by using data from (111)In-labeled thrombocyte and 99mTc-labeled colloid studies of three healthy volunteers. Dose distributions in the volunteers and the average absorbed doses in liver and spleen were calculated. The average doses for 99mTc-labeled colloid study were 0.07 +/- 0.02 (liver) and 0.046 +/- 0.005 mGy/MBq (spleen). The results are in good agreement with a Monte Carlo (MC) based method (0.074 for liver and 0.077 mGy/MBq for spleen) used by the International Commission on Radiological Protection (ICRP). For (111)In-labeled thrombocyte study the doses were 0.33 +/- 0.05 (liver) and 8.9 +/- 1.2 mGy/MBq (spleen) versus 0.730 and 7.50, respectively. The differences in dose estimates in the (111)In-labeled thrombocyte study are mainly due to the approximation used in activity quantitation. Convolution of the activity distribution with a point dose kernel is an effective method for calculating absorbed dose distribution in a homogeneous media. Activity distribution must be aligned to anatomical data in order to utilize the calculated dose distribution. The program developed is applicable to and practical for clinical use provided that the input data needed are available.</abstract><cop>Japan</cop><pub>Springer Nature B.V</pub><pmid>9559955</pmid><doi>10.1007/BF03165409</doi><tpages>5</tpages></addata></record> |
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subjects | Humans Indium Radioisotopes - therapeutic use Liver - anatomy & histology Liver - diagnostic imaging Magnetic Resonance Imaging - statistics & numerical data Phantoms, Imaging Radiotherapy Planning, Computer-Assisted - methods Software Spleen Spleen - anatomy & histology Spleen - diagnostic imaging Studies Technetium - therapeutic use Tomography, Emission-Computed, Single-Photon - statistics & numerical data |
title | Calculating internal dose by convolution from SPECT/MR fusion images |
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