Computed Tomography as a Source of Electron Density Information for Radiation Treatment Planning
Purpose: To evaluate the performance of computed tomography (CT) systems of various designs as a source of electron density (ρ el ) data for treatment planning of radiation therapy. Material and Methods: Dependence of CT numbers on relative electron density of tissue-equivalent materials (HU-ρ el re...
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creator | Skrzyński, Witold Zielińska-Dąbrowska, Sylwia Wachowicz, Marta Ślusarczyk-Kacprzyk, Wioletta Kukołowicz, Paweł F. Bulski, Wojciech |
description | Purpose:
To evaluate the performance of computed tomography (CT) systems of various designs as a source of electron density (ρ
el
) data for treatment planning of radiation therapy.
Material and Methods:
Dependence of CT numbers on relative electron density of tissue-equivalent materials (HU-ρ
el
relationship) was measured for several general-purpose CT systems (single-slice, multislice, wide-bore multislice), for radiotherapy simulators with a single-slice CT and kV CBCT (cone-beam CT) options, as well as for linear accelerators with kV and MV CBCT systems. Electron density phantoms of four sizes were used. Measurement data were compared with the standard HU-ρel relationships predefined in two commercial treatment-planning systems (TPS).
Results:
The HU-ρ
el
relationships obtained with all of the general-purpose CT scanners operating at voltages close to 120 kV were very similar to each other and close to those predefined in TPS. Some dependency of HU values on tube voltage was observed for bone- equivalent materials. For a given tube voltage, differences in results obtained for different phantoms were larger than those obtained for different CT scanners. For radiotherapy simulators and for kV CBCT systems, the information on ρel was much less precise because of poor uniformity of images. For MV CBCT, the results were significantly different than for kV systems due to the differing energy spectrum of the beam.
Conclusion:
The HU-ρ
el
relationships predefined in TPS can be used for general-purpose CT systems operating at voltages close to 120 kV. For nontypical imaging systems (e.g., CBCT), the relationship can be significantly different and, therefore, it should always be measured and carefully analyzed before using CT data for treatment planning. |
doi_str_mv | 10.1007/s00066-010-2086-5 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_733303542</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>733303542</sourcerecordid><originalsourceid>FETCH-LOGICAL-c370t-386aeb8d311d213b6000daa978ea0f29b7be72bf0dc87cbe08f5d463b17b68253</originalsourceid><addsrcrecordid>eNp1kE1P3DAQhi1EVRboD-gFWVx6Sjv-SOwcq4UCEhKoXaTeXDuZbIM29tZODvvv8Sp8SJU4eWw_8847LyGfGXxlAOpbAoCqKoBBwUFXRXlAFkyKuoC6_n1IFsBUXShW6iNynNIjAKtkLT-SIw6y1LJkC_JnGYbtNGJLV2EI62i3f3fUJmrprzDFBmno6OUGmzEGTy_Qp37c0RvfhTjYsc9vuaI_bdvPt1VEOw7oR3q_sd73fn1KPnR2k_DT83lCHn5crpbXxe3d1c3y-23RCAVjIXRl0elWMNZyJlyVV2utrZVGCx2vnXKouOugbbRqHILuylZWwjHlKs1LcUK-zLrbGP5NmEYz9KnBTbaBYUpGCSFAlJJn8vw_8jGv6rM5U4IEKTRXGWIz1MSQUsTObGM_2LgzDMw-fDOHb3L4Zh--2Vs4exae3IDta8dL2hngM5Dyl19jfJv8vuoTcziPZg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>504043827</pqid></control><display><type>article</type><title>Computed Tomography as a Source of Electron Density Information for Radiation Treatment Planning</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Skrzyński, Witold ; Zielińska-Dąbrowska, Sylwia ; Wachowicz, Marta ; Ślusarczyk-Kacprzyk, Wioletta ; Kukołowicz, Paweł F. ; Bulski, Wojciech</creator><creatorcontrib>Skrzyński, Witold ; Zielińska-Dąbrowska, Sylwia ; Wachowicz, Marta ; Ślusarczyk-Kacprzyk, Wioletta ; Kukołowicz, Paweł F. ; Bulski, Wojciech</creatorcontrib><description>Purpose:
To evaluate the performance of computed tomography (CT) systems of various designs as a source of electron density (ρ
el
) data for treatment planning of radiation therapy.
Material and Methods:
Dependence of CT numbers on relative electron density of tissue-equivalent materials (HU-ρ
el
relationship) was measured for several general-purpose CT systems (single-slice, multislice, wide-bore multislice), for radiotherapy simulators with a single-slice CT and kV CBCT (cone-beam CT) options, as well as for linear accelerators with kV and MV CBCT systems. Electron density phantoms of four sizes were used. Measurement data were compared with the standard HU-ρel relationships predefined in two commercial treatment-planning systems (TPS).
Results:
The HU-ρ
el
relationships obtained with all of the general-purpose CT scanners operating at voltages close to 120 kV were very similar to each other and close to those predefined in TPS. Some dependency of HU values on tube voltage was observed for bone- equivalent materials. For a given tube voltage, differences in results obtained for different phantoms were larger than those obtained for different CT scanners. For radiotherapy simulators and for kV CBCT systems, the information on ρel was much less precise because of poor uniformity of images. For MV CBCT, the results were significantly different than for kV systems due to the differing energy spectrum of the beam.
Conclusion:
The HU-ρ
el
relationships predefined in TPS can be used for general-purpose CT systems operating at voltages close to 120 kV. For nontypical imaging systems (e.g., CBCT), the relationship can be significantly different and, therefore, it should always be measured and carefully analyzed before using CT data for treatment planning.</description><identifier>ISSN: 0179-7158</identifier><identifier>EISSN: 1439-099X</identifier><identifier>DOI: 10.1007/s00066-010-2086-5</identifier><identifier>PMID: 20458451</identifier><language>eng</language><publisher>Munchen: Urban and Vogel</publisher><subject>Cone-Beam Computed Tomography - instrumentation ; Cone-Beam Computed Tomography - methods ; Electrons ; Humans ; Image Processing, Computer-Assisted - instrumentation ; Image Processing, Computer-Assisted - methods ; Medicine ; Medicine & Public Health ; Oncology ; Original Article ; Particle Accelerators ; Phantoms, Imaging ; Radiotherapy ; Radiotherapy Planning, Computer-Assisted - instrumentation ; Radiotherapy Planning, Computer-Assisted - methods ; Tomography, X-Ray Computed - instrumentation ; Tomography, X-Ray Computed - methods</subject><ispartof>Strahlentherapie und Onkologie, 2010-06, Vol.186 (6), p.327-333</ispartof><rights>Urban & Vogel, Muenchen 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c370t-386aeb8d311d213b6000daa978ea0f29b7be72bf0dc87cbe08f5d463b17b68253</citedby><cites>FETCH-LOGICAL-c370t-386aeb8d311d213b6000daa978ea0f29b7be72bf0dc87cbe08f5d463b17b68253</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/s00066-010-2086-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00066-010-2086-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27911,27912,41475,42544,51306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20458451$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Skrzyński, Witold</creatorcontrib><creatorcontrib>Zielińska-Dąbrowska, Sylwia</creatorcontrib><creatorcontrib>Wachowicz, Marta</creatorcontrib><creatorcontrib>Ślusarczyk-Kacprzyk, Wioletta</creatorcontrib><creatorcontrib>Kukołowicz, Paweł F.</creatorcontrib><creatorcontrib>Bulski, Wojciech</creatorcontrib><title>Computed Tomography as a Source of Electron Density Information for Radiation Treatment Planning</title><title>Strahlentherapie und Onkologie</title><addtitle>Strahlenther Onkol</addtitle><addtitle>Strahlenther Onkol</addtitle><description>Purpose:
To evaluate the performance of computed tomography (CT) systems of various designs as a source of electron density (ρ
el
) data for treatment planning of radiation therapy.
Material and Methods:
Dependence of CT numbers on relative electron density of tissue-equivalent materials (HU-ρ
el
relationship) was measured for several general-purpose CT systems (single-slice, multislice, wide-bore multislice), for radiotherapy simulators with a single-slice CT and kV CBCT (cone-beam CT) options, as well as for linear accelerators with kV and MV CBCT systems. Electron density phantoms of four sizes were used. Measurement data were compared with the standard HU-ρel relationships predefined in two commercial treatment-planning systems (TPS).
Results:
The HU-ρ
el
relationships obtained with all of the general-purpose CT scanners operating at voltages close to 120 kV were very similar to each other and close to those predefined in TPS. Some dependency of HU values on tube voltage was observed for bone- equivalent materials. For a given tube voltage, differences in results obtained for different phantoms were larger than those obtained for different CT scanners. For radiotherapy simulators and for kV CBCT systems, the information on ρel was much less precise because of poor uniformity of images. For MV CBCT, the results were significantly different than for kV systems due to the differing energy spectrum of the beam.
Conclusion:
The HU-ρ
el
relationships predefined in TPS can be used for general-purpose CT systems operating at voltages close to 120 kV. For nontypical imaging systems (e.g., CBCT), the relationship can be significantly different and, therefore, it should always be measured and carefully analyzed before using CT data for treatment planning.</description><subject>Cone-Beam Computed Tomography - instrumentation</subject><subject>Cone-Beam Computed Tomography - methods</subject><subject>Electrons</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - instrumentation</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Particle Accelerators</subject><subject>Phantoms, Imaging</subject><subject>Radiotherapy</subject><subject>Radiotherapy Planning, Computer-Assisted - instrumentation</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Tomography, X-Ray Computed - instrumentation</subject><subject>Tomography, X-Ray Computed - methods</subject><issn>0179-7158</issn><issn>1439-099X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kE1P3DAQhi1EVRboD-gFWVx6Sjv-SOwcq4UCEhKoXaTeXDuZbIM29tZODvvv8Sp8SJU4eWw_8847LyGfGXxlAOpbAoCqKoBBwUFXRXlAFkyKuoC6_n1IFsBUXShW6iNynNIjAKtkLT-SIw6y1LJkC_JnGYbtNGJLV2EI62i3f3fUJmrprzDFBmno6OUGmzEGTy_Qp37c0RvfhTjYsc9vuaI_bdvPt1VEOw7oR3q_sd73fn1KPnR2k_DT83lCHn5crpbXxe3d1c3y-23RCAVjIXRl0elWMNZyJlyVV2utrZVGCx2vnXKouOugbbRqHILuylZWwjHlKs1LcUK-zLrbGP5NmEYz9KnBTbaBYUpGCSFAlJJn8vw_8jGv6rM5U4IEKTRXGWIz1MSQUsTObGM_2LgzDMw-fDOHb3L4Zh--2Vs4exae3IDta8dL2hngM5Dyl19jfJv8vuoTcziPZg</recordid><startdate>20100601</startdate><enddate>20100601</enddate><creator>Skrzyński, Witold</creator><creator>Zielińska-Dąbrowska, Sylwia</creator><creator>Wachowicz, Marta</creator><creator>Ślusarczyk-Kacprzyk, Wioletta</creator><creator>Kukołowicz, Paweł F.</creator><creator>Bulski, Wojciech</creator><general>Urban and Vogel</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>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20100601</creationdate><title>Computed Tomography as a Source of Electron Density Information for Radiation Treatment Planning</title><author>Skrzyński, Witold ; Zielińska-Dąbrowska, Sylwia ; Wachowicz, Marta ; Ślusarczyk-Kacprzyk, Wioletta ; Kukołowicz, Paweł F. ; Bulski, Wojciech</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c370t-386aeb8d311d213b6000daa978ea0f29b7be72bf0dc87cbe08f5d463b17b68253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Cone-Beam Computed Tomography - instrumentation</topic><topic>Cone-Beam Computed Tomography - methods</topic><topic>Electrons</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - instrumentation</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Particle Accelerators</topic><topic>Phantoms, Imaging</topic><topic>Radiotherapy</topic><topic>Radiotherapy Planning, Computer-Assisted - instrumentation</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Tomography, X-Ray Computed - instrumentation</topic><topic>Tomography, X-Ray Computed - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Skrzyński, Witold</creatorcontrib><creatorcontrib>Zielińska-Dąbrowska, Sylwia</creatorcontrib><creatorcontrib>Wachowicz, Marta</creatorcontrib><creatorcontrib>Ślusarczyk-Kacprzyk, Wioletta</creatorcontrib><creatorcontrib>Kukołowicz, Paweł F.</creatorcontrib><creatorcontrib>Bulski, Wojciech</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>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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</collection><collection>Technology Collection (ProQuest)</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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 China</collection><collection>MEDLINE - Academic</collection><jtitle>Strahlentherapie und Onkologie</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Skrzyński, Witold</au><au>Zielińska-Dąbrowska, Sylwia</au><au>Wachowicz, Marta</au><au>Ślusarczyk-Kacprzyk, Wioletta</au><au>Kukołowicz, Paweł F.</au><au>Bulski, Wojciech</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computed Tomography as a Source of Electron Density Information for Radiation Treatment Planning</atitle><jtitle>Strahlentherapie und Onkologie</jtitle><stitle>Strahlenther Onkol</stitle><addtitle>Strahlenther Onkol</addtitle><date>2010-06-01</date><risdate>2010</risdate><volume>186</volume><issue>6</issue><spage>327</spage><epage>333</epage><pages>327-333</pages><issn>0179-7158</issn><eissn>1439-099X</eissn><abstract>Purpose:
To evaluate the performance of computed tomography (CT) systems of various designs as a source of electron density (ρ
el
) data for treatment planning of radiation therapy.
Material and Methods:
Dependence of CT numbers on relative electron density of tissue-equivalent materials (HU-ρ
el
relationship) was measured for several general-purpose CT systems (single-slice, multislice, wide-bore multislice), for radiotherapy simulators with a single-slice CT and kV CBCT (cone-beam CT) options, as well as for linear accelerators with kV and MV CBCT systems. Electron density phantoms of four sizes were used. Measurement data were compared with the standard HU-ρel relationships predefined in two commercial treatment-planning systems (TPS).
Results:
The HU-ρ
el
relationships obtained with all of the general-purpose CT scanners operating at voltages close to 120 kV were very similar to each other and close to those predefined in TPS. Some dependency of HU values on tube voltage was observed for bone- equivalent materials. For a given tube voltage, differences in results obtained for different phantoms were larger than those obtained for different CT scanners. For radiotherapy simulators and for kV CBCT systems, the information on ρel was much less precise because of poor uniformity of images. For MV CBCT, the results were significantly different than for kV systems due to the differing energy spectrum of the beam.
Conclusion:
The HU-ρ
el
relationships predefined in TPS can be used for general-purpose CT systems operating at voltages close to 120 kV. For nontypical imaging systems (e.g., CBCT), the relationship can be significantly different and, therefore, it should always be measured and carefully analyzed before using CT data for treatment planning.</abstract><cop>Munchen</cop><pub>Urban and Vogel</pub><pmid>20458451</pmid><doi>10.1007/s00066-010-2086-5</doi><tpages>7</tpages></addata></record> |
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subjects | Cone-Beam Computed Tomography - instrumentation Cone-Beam Computed Tomography - methods Electrons Humans Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Medicine Medicine & Public Health Oncology Original Article Particle Accelerators Phantoms, Imaging Radiotherapy Radiotherapy Planning, Computer-Assisted - instrumentation Radiotherapy Planning, Computer-Assisted - methods Tomography, X-Ray Computed - instrumentation Tomography, X-Ray Computed - methods |
title | Computed Tomography as a Source of Electron Density Information for Radiation Treatment Planning |
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