Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT

Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CBCT) images for accurate dose calculation in adaptive intensity modulated proton therapy (IMPT) for prostate and head and neck (H&N) cancer. A deformable image registration (DIR)-based method and a...

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Veröffentlicht in:Medical physics (Lancaster) 2016-10, Vol.43 (10), p.5635-5646
Hauptverfasser: Kurz, Christopher, Kamp, Florian, Park, Yang-Kyun, Zöllner, Christoph, Rit, Simon, Hansen, David, Podesta, Mark, Sharp, Gregory C., Li, Minglun, Reiner, Michael, Hofmaier, Jan, Neppl, Sebastian, Thieke, Christian, Nijhuis, Reinoud, Ganswindt, Ute, Belka, Claus, Winey, Brian A., Parodi, Katia, Landry, Guillaume
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container_issue 10
container_start_page 5635
container_title Medical physics (Lancaster)
container_volume 43
creator Kurz, Christopher
Kamp, Florian
Park, Yang-Kyun
Zöllner, Christoph
Rit, Simon
Hansen, David
Podesta, Mark
Sharp, Gregory C.
Li, Minglun
Reiner, Michael
Hofmaier, Jan
Neppl, Sebastian
Thieke, Christian
Nijhuis, Reinoud
Ganswindt, Ute
Belka, Claus
Winey, Brian A.
Parodi, Katia
Landry, Guillaume
description Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CBCT) images for accurate dose calculation in adaptive intensity modulated proton therapy (IMPT) for prostate and head and neck (H&N) cancer. A deformable image registration (DIR)-based method and a scatter correction approach using the image data obtained from DIR as prior are characterized and compared on the basis of the same clinical patient cohort for the first time. Methods: Planning CT (pCT) and daily CBCT data (reconstructed images and measured projections) of four H&N and four prostate cancer patients have been considered in this study. A previously validated Morphons algorithm was used for DIR of the planning CT to the current CBCT image, yielding a so-called virtual CT (vCT). For the first time, this approach was translated from H&N to prostate cancer cases in the scope of proton therapy. The warped pCT images were also used as prior for scatter correction of the CBCT projections for both tumor sites. Single field uniform dose and IMPT (only for H&N cases) treatment plans have been generated with a research version of a commercial planning system. Dose calculations on vCT and scatter corrected CBCT (CBCTcor) were compared by means of the proton range and a gamma-index analysis. For the H&N cases, an additional diagnostic replanning CT (rpCT) acquired within three days of the CBCT served as additional reference. For the prostate patients, a comprehensive contour comparison of CBCT and vCT, using a trained physician’s delineation, was performed. Results: A high agreement of vCT and CBCTcor was found in terms of the proton range and gamma-index analysis. For all patients and indications between 95% and 100% of the proton dose profiles in beam’s eye view showed a range agreement of better than 3 mm. The pass rate in a (2%,2 mm) gamma-comparison was between 96% and 100%. For H&N patients, an equivalent agreement of vCT and CBCTcor to the reference rpCT was observed. However, for the prostate cases, an insufficient accuracy of the vCT contours retrieved from DIR was found, while the CBCTcor contours showed very high agreement to the contours delineated on the raw CBCT. Conclusions: For H&N patients, no considerable differences of vCT and CBCTcor were found. For prostate cases, despite the high dosimetric agreement, the DIR yields incorrect contours, probably due to the more pronounced anatomical changes in the abdomen and the reduced soft-tissue contrast
doi_str_mv 10.1118/1.4962933
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A deformable image registration (DIR)-based method and a scatter correction approach using the image data obtained from DIR as prior are characterized and compared on the basis of the same clinical patient cohort for the first time. Methods: Planning CT (pCT) and daily CBCT data (reconstructed images and measured projections) of four H&N and four prostate cancer patients have been considered in this study. A previously validated Morphons algorithm was used for DIR of the planning CT to the current CBCT image, yielding a so-called virtual CT (vCT). For the first time, this approach was translated from H&N to prostate cancer cases in the scope of proton therapy. The warped pCT images were also used as prior for scatter correction of the CBCT projections for both tumor sites. Single field uniform dose and IMPT (only for H&N cases) treatment plans have been generated with a research version of a commercial planning system. Dose calculations on vCT and scatter corrected CBCT (CBCTcor) were compared by means of the proton range and a gamma-index analysis. For the H&N cases, an additional diagnostic replanning CT (rpCT) acquired within three days of the CBCT served as additional reference. For the prostate patients, a comprehensive contour comparison of CBCT and vCT, using a trained physician’s delineation, was performed. Results: A high agreement of vCT and CBCTcor was found in terms of the proton range and gamma-index analysis. For all patients and indications between 95% and 100% of the proton dose profiles in beam’s eye view showed a range agreement of better than 3 mm. The pass rate in a (2%,2 mm) gamma-comparison was between 96% and 100%. For H&N patients, an equivalent agreement of vCT and CBCTcor to the reference rpCT was observed. However, for the prostate cases, an insufficient accuracy of the vCT contours retrieved from DIR was found, while the CBCTcor contours showed very high agreement to the contours delineated on the raw CBCT. Conclusions: For H&N patients, no considerable differences of vCT and CBCTcor were found. For prostate cases, despite the high dosimetric agreement, the DIR yields incorrect contours, probably due to the more pronounced anatomical changes in the abdomen and the reduced soft-tissue contrast in the CBCT. Using the vCT as prior, these inaccuracies can be overcome and images suitable for accurate delineation and dose calculation in CBCT-based adaptive IMPT can be retrieved from scatter correction of the CBCT projections.]]></description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.4962933</identifier><identifier>PMID: 27782706</identifier><identifier>CODEN: MPHYA6</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>adaptive radiotherapy ; Biological material, e.g. blood, urine; Haemocytometers ; Cancer ; Computed tomography ; Computer Science ; Computerised tomographs ; computerised tomography ; Cone beam computed tomography ; cone‐beam CT ; Digital computing or data processing equipment or methods, specially adapted for specific applications ; dosimetry ; Dosimetry/exposure assessment ; Head and Neck Neoplasms - diagnostic imaging ; Head and Neck Neoplasms - radiotherapy ; Humans ; Image data processing or generation, in general ; Image Processing, Computer-Assisted ; image reconstruction ; image registration ; Life Sciences ; Male ; medical image processing ; Medical image reconstruction ; Medical Imaging ; Medical Physics ; Physics ; Prostatic Neoplasms - diagnostic imaging ; Prostatic Neoplasms - radiotherapy ; proton therapy ; Protons ; Radiation Dosage ; radiation therapy ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted - methods ; Radiotherapy, Image-Guided ; Radiotherapy, Intensity-Modulated ; Scattering, Radiation ; Scintigraphy ; Tissues ; tumours</subject><ispartof>Medical physics (Lancaster), 2016-10, Vol.43 (10), p.5635-5646</ispartof><rights>American Association of Physicists in Medicine</rights><rights>2016 American Association of Physicists in Medicine</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4933-d71ed5669ba37c72ef721a206dc6a732caabd8d1a432876cfb3af55e2d50a4643</citedby><cites>FETCH-LOGICAL-c4933-d71ed5669ba37c72ef721a206dc6a732caabd8d1a432876cfb3af55e2d50a4643</cites><orcidid>0000-0001-8575-9611 ; 0000-0003-2530-1013 ; 0000-0001-7779-6690 ; 0000-0003-1707-4068</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.4962933$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.4962933$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27782706$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01374076$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Kurz, Christopher</creatorcontrib><creatorcontrib>Kamp, Florian</creatorcontrib><creatorcontrib>Park, Yang-Kyun</creatorcontrib><creatorcontrib>Zöllner, Christoph</creatorcontrib><creatorcontrib>Rit, Simon</creatorcontrib><creatorcontrib>Hansen, David</creatorcontrib><creatorcontrib>Podesta, Mark</creatorcontrib><creatorcontrib>Sharp, Gregory C.</creatorcontrib><creatorcontrib>Li, Minglun</creatorcontrib><creatorcontrib>Reiner, Michael</creatorcontrib><creatorcontrib>Hofmaier, Jan</creatorcontrib><creatorcontrib>Neppl, Sebastian</creatorcontrib><creatorcontrib>Thieke, Christian</creatorcontrib><creatorcontrib>Nijhuis, Reinoud</creatorcontrib><creatorcontrib>Ganswindt, Ute</creatorcontrib><creatorcontrib>Belka, Claus</creatorcontrib><creatorcontrib>Winey, Brian A.</creatorcontrib><creatorcontrib>Parodi, Katia</creatorcontrib><creatorcontrib>Landry, Guillaume</creatorcontrib><title>Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description><![CDATA[Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CBCT) images for accurate dose calculation in adaptive intensity modulated proton therapy (IMPT) for prostate and head and neck (H&N) cancer. A deformable image registration (DIR)-based method and a scatter correction approach using the image data obtained from DIR as prior are characterized and compared on the basis of the same clinical patient cohort for the first time. Methods: Planning CT (pCT) and daily CBCT data (reconstructed images and measured projections) of four H&N and four prostate cancer patients have been considered in this study. A previously validated Morphons algorithm was used for DIR of the planning CT to the current CBCT image, yielding a so-called virtual CT (vCT). For the first time, this approach was translated from H&N to prostate cancer cases in the scope of proton therapy. The warped pCT images were also used as prior for scatter correction of the CBCT projections for both tumor sites. Single field uniform dose and IMPT (only for H&N cases) treatment plans have been generated with a research version of a commercial planning system. Dose calculations on vCT and scatter corrected CBCT (CBCTcor) were compared by means of the proton range and a gamma-index analysis. For the H&N cases, an additional diagnostic replanning CT (rpCT) acquired within three days of the CBCT served as additional reference. For the prostate patients, a comprehensive contour comparison of CBCT and vCT, using a trained physician’s delineation, was performed. Results: A high agreement of vCT and CBCTcor was found in terms of the proton range and gamma-index analysis. For all patients and indications between 95% and 100% of the proton dose profiles in beam’s eye view showed a range agreement of better than 3 mm. The pass rate in a (2%,2 mm) gamma-comparison was between 96% and 100%. For H&N patients, an equivalent agreement of vCT and CBCTcor to the reference rpCT was observed. However, for the prostate cases, an insufficient accuracy of the vCT contours retrieved from DIR was found, while the CBCTcor contours showed very high agreement to the contours delineated on the raw CBCT. Conclusions: For H&N patients, no considerable differences of vCT and CBCTcor were found. For prostate cases, despite the high dosimetric agreement, the DIR yields incorrect contours, probably due to the more pronounced anatomical changes in the abdomen and the reduced soft-tissue contrast in the CBCT. Using the vCT as prior, these inaccuracies can be overcome and images suitable for accurate delineation and dose calculation in CBCT-based adaptive IMPT can be retrieved from scatter correction of the CBCT projections.]]></description><subject>adaptive radiotherapy</subject><subject>Biological material, e.g. blood, urine; Haemocytometers</subject><subject>Cancer</subject><subject>Computed tomography</subject><subject>Computer Science</subject><subject>Computerised tomographs</subject><subject>computerised tomography</subject><subject>Cone beam computed tomography</subject><subject>cone‐beam CT</subject><subject>Digital computing or data processing equipment or methods, specially adapted for specific applications</subject><subject>dosimetry</subject><subject>Dosimetry/exposure assessment</subject><subject>Head and Neck Neoplasms - diagnostic imaging</subject><subject>Head and Neck Neoplasms - radiotherapy</subject><subject>Humans</subject><subject>Image data processing or generation, in general</subject><subject>Image Processing, Computer-Assisted</subject><subject>image reconstruction</subject><subject>image registration</subject><subject>Life Sciences</subject><subject>Male</subject><subject>medical image processing</subject><subject>Medical image reconstruction</subject><subject>Medical Imaging</subject><subject>Medical Physics</subject><subject>Physics</subject><subject>Prostatic Neoplasms - diagnostic imaging</subject><subject>Prostatic Neoplasms - radiotherapy</subject><subject>proton therapy</subject><subject>Protons</subject><subject>Radiation Dosage</subject><subject>radiation therapy</subject><subject>Radiotherapy Dosage</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Radiotherapy, Image-Guided</subject><subject>Radiotherapy, Intensity-Modulated</subject><subject>Scattering, Radiation</subject><subject>Scintigraphy</subject><subject>Tissues</subject><subject>tumours</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU1vEzEQhi0EoqFw4A8gHwFpi7_W3j2WCGikVPQQztasPRuMNutgb4L673G7oXApJ0vj531GM0PIa84uOOfNB36hWi1aKZ-QhVBGVkqw9ilZMNaqSihWn5EXOf9gjGlZs-fkTBjTCMP0guTVeMQ8hS1MYdxSj31MO-gGpGEHW6QJtyFPqfzGkcLoaXYwTZioiymhuy-XCF1-XG6qDjJ66mNG6mBwh2GOhZL0sJ_CEenq-mbzkjzrYcj46vSek2-fP22WV9X665fV8nJdOVVmqbzh6Gut2w6kcUZgbwQHwbR3GowUDqDzjeegpGiMdn0noa9rFL5moLSS5-Td7P0Og92nMlC6tRGCvbpc27sa49IoZvSRF_btzO5T_HkoG7G7kB0OA4wYD9nyRta6EVyLv1qXYs4J-wc3Z_buHpbb0z0K--akPXQ79A_knwMUoJqBX2HA28dN9vrmJHw_89mF6X69_-3-KHyM6R_53vfyN_Ccrvo</recordid><startdate>201610</startdate><enddate>201610</enddate><creator>Kurz, Christopher</creator><creator>Kamp, Florian</creator><creator>Park, Yang-Kyun</creator><creator>Zöllner, Christoph</creator><creator>Rit, Simon</creator><creator>Hansen, David</creator><creator>Podesta, Mark</creator><creator>Sharp, Gregory C.</creator><creator>Li, Minglun</creator><creator>Reiner, Michael</creator><creator>Hofmaier, Jan</creator><creator>Neppl, Sebastian</creator><creator>Thieke, Christian</creator><creator>Nijhuis, Reinoud</creator><creator>Ganswindt, Ute</creator><creator>Belka, Claus</creator><creator>Winey, Brian A.</creator><creator>Parodi, Katia</creator><creator>Landry, Guillaume</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><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-8575-9611</orcidid><orcidid>https://orcid.org/0000-0003-2530-1013</orcidid><orcidid>https://orcid.org/0000-0001-7779-6690</orcidid><orcidid>https://orcid.org/0000-0003-1707-4068</orcidid></search><sort><creationdate>201610</creationdate><title>Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT</title><author>Kurz, Christopher ; Kamp, Florian ; Park, Yang-Kyun ; Zöllner, Christoph ; Rit, Simon ; Hansen, David ; Podesta, Mark ; Sharp, Gregory C. ; Li, Minglun ; Reiner, Michael ; Hofmaier, Jan ; Neppl, Sebastian ; Thieke, Christian ; Nijhuis, Reinoud ; Ganswindt, Ute ; Belka, Claus ; Winey, Brian A. ; Parodi, Katia ; Landry, Guillaume</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4933-d71ed5669ba37c72ef721a206dc6a732caabd8d1a432876cfb3af55e2d50a4643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>adaptive radiotherapy</topic><topic>Biological material, e.g. blood, urine; Haemocytometers</topic><topic>Cancer</topic><topic>Computed tomography</topic><topic>Computer Science</topic><topic>Computerised tomographs</topic><topic>computerised tomography</topic><topic>Cone beam computed tomography</topic><topic>cone‐beam CT</topic><topic>Digital computing or data processing equipment or methods, specially adapted for specific applications</topic><topic>dosimetry</topic><topic>Dosimetry/exposure assessment</topic><topic>Head and Neck Neoplasms - diagnostic imaging</topic><topic>Head and Neck Neoplasms - radiotherapy</topic><topic>Humans</topic><topic>Image data processing or generation, in general</topic><topic>Image Processing, Computer-Assisted</topic><topic>image reconstruction</topic><topic>image registration</topic><topic>Life Sciences</topic><topic>Male</topic><topic>medical image processing</topic><topic>Medical image reconstruction</topic><topic>Medical Imaging</topic><topic>Medical Physics</topic><topic>Physics</topic><topic>Prostatic Neoplasms - diagnostic imaging</topic><topic>Prostatic Neoplasms - radiotherapy</topic><topic>proton therapy</topic><topic>Protons</topic><topic>Radiation Dosage</topic><topic>radiation therapy</topic><topic>Radiotherapy Dosage</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Radiotherapy, Image-Guided</topic><topic>Radiotherapy, Intensity-Modulated</topic><topic>Scattering, Radiation</topic><topic>Scintigraphy</topic><topic>Tissues</topic><topic>tumours</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kurz, Christopher</creatorcontrib><creatorcontrib>Kamp, Florian</creatorcontrib><creatorcontrib>Park, Yang-Kyun</creatorcontrib><creatorcontrib>Zöllner, Christoph</creatorcontrib><creatorcontrib>Rit, Simon</creatorcontrib><creatorcontrib>Hansen, David</creatorcontrib><creatorcontrib>Podesta, Mark</creatorcontrib><creatorcontrib>Sharp, Gregory C.</creatorcontrib><creatorcontrib>Li, Minglun</creatorcontrib><creatorcontrib>Reiner, Michael</creatorcontrib><creatorcontrib>Hofmaier, Jan</creatorcontrib><creatorcontrib>Neppl, Sebastian</creatorcontrib><creatorcontrib>Thieke, Christian</creatorcontrib><creatorcontrib>Nijhuis, Reinoud</creatorcontrib><creatorcontrib>Ganswindt, Ute</creatorcontrib><creatorcontrib>Belka, Claus</creatorcontrib><creatorcontrib>Winey, Brian A.</creatorcontrib><creatorcontrib>Parodi, Katia</creatorcontrib><creatorcontrib>Landry, Guillaume</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><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kurz, Christopher</au><au>Kamp, Florian</au><au>Park, Yang-Kyun</au><au>Zöllner, Christoph</au><au>Rit, Simon</au><au>Hansen, David</au><au>Podesta, Mark</au><au>Sharp, Gregory C.</au><au>Li, Minglun</au><au>Reiner, Michael</au><au>Hofmaier, Jan</au><au>Neppl, Sebastian</au><au>Thieke, Christian</au><au>Nijhuis, Reinoud</au><au>Ganswindt, Ute</au><au>Belka, Claus</au><au>Winey, Brian A.</au><au>Parodi, Katia</au><au>Landry, Guillaume</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2016-10</date><risdate>2016</risdate><volume>43</volume><issue>10</issue><spage>5635</spage><epage>5646</epage><pages>5635-5646</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><coden>MPHYA6</coden><abstract><![CDATA[Purpose: This work aims at investigating intensity corrected cone-beam x-ray computed tomography (CBCT) images for accurate dose calculation in adaptive intensity modulated proton therapy (IMPT) for prostate and head and neck (H&N) cancer. A deformable image registration (DIR)-based method and a scatter correction approach using the image data obtained from DIR as prior are characterized and compared on the basis of the same clinical patient cohort for the first time. Methods: Planning CT (pCT) and daily CBCT data (reconstructed images and measured projections) of four H&N and four prostate cancer patients have been considered in this study. A previously validated Morphons algorithm was used for DIR of the planning CT to the current CBCT image, yielding a so-called virtual CT (vCT). For the first time, this approach was translated from H&N to prostate cancer cases in the scope of proton therapy. The warped pCT images were also used as prior for scatter correction of the CBCT projections for both tumor sites. Single field uniform dose and IMPT (only for H&N cases) treatment plans have been generated with a research version of a commercial planning system. Dose calculations on vCT and scatter corrected CBCT (CBCTcor) were compared by means of the proton range and a gamma-index analysis. For the H&N cases, an additional diagnostic replanning CT (rpCT) acquired within three days of the CBCT served as additional reference. For the prostate patients, a comprehensive contour comparison of CBCT and vCT, using a trained physician’s delineation, was performed. Results: A high agreement of vCT and CBCTcor was found in terms of the proton range and gamma-index analysis. For all patients and indications between 95% and 100% of the proton dose profiles in beam’s eye view showed a range agreement of better than 3 mm. The pass rate in a (2%,2 mm) gamma-comparison was between 96% and 100%. For H&N patients, an equivalent agreement of vCT and CBCTcor to the reference rpCT was observed. However, for the prostate cases, an insufficient accuracy of the vCT contours retrieved from DIR was found, while the CBCTcor contours showed very high agreement to the contours delineated on the raw CBCT. Conclusions: For H&N patients, no considerable differences of vCT and CBCTcor were found. For prostate cases, despite the high dosimetric agreement, the DIR yields incorrect contours, probably due to the more pronounced anatomical changes in the abdomen and the reduced soft-tissue contrast in the CBCT. Using the vCT as prior, these inaccuracies can be overcome and images suitable for accurate delineation and dose calculation in CBCT-based adaptive IMPT can be retrieved from scatter correction of the CBCT projections.]]></abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>27782706</pmid><doi>10.1118/1.4962933</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-8575-9611</orcidid><orcidid>https://orcid.org/0000-0003-2530-1013</orcidid><orcidid>https://orcid.org/0000-0001-7779-6690</orcidid><orcidid>https://orcid.org/0000-0003-1707-4068</orcidid></addata></record>
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source MEDLINE; Access via Wiley Online Library; Alma/SFX Local Collection
subjects adaptive radiotherapy
Biological material, e.g. blood, urine
Haemocytometers
Cancer
Computed tomography
Computer Science
Computerised tomographs
computerised tomography
Cone beam computed tomography
cone‐beam CT
Digital computing or data processing equipment or methods, specially adapted for specific applications
dosimetry
Dosimetry/exposure assessment
Head and Neck Neoplasms - diagnostic imaging
Head and Neck Neoplasms - radiotherapy
Humans
Image data processing or generation, in general
Image Processing, Computer-Assisted
image reconstruction
image registration
Life Sciences
Male
medical image processing
Medical image reconstruction
Medical Imaging
Medical Physics
Physics
Prostatic Neoplasms - diagnostic imaging
Prostatic Neoplasms - radiotherapy
proton therapy
Protons
Radiation Dosage
radiation therapy
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted - methods
Radiotherapy, Image-Guided
Radiotherapy, Intensity-Modulated
Scattering, Radiation
Scintigraphy
Tissues
tumours
title Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T18%3A51%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_wiley&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Investigating%20deformable%20image%20registration%20and%20scatter%20correction%20for%20CBCT-based%20dose%20calculation%20in%20adaptive%20IMPT&rft.jtitle=Medical%20physics%20(Lancaster)&rft.au=Kurz,%20Christopher&rft.date=2016-10&rft.volume=43&rft.issue=10&rft.spage=5635&rft.epage=5646&rft.pages=5635-5646&rft.issn=0094-2405&rft.eissn=2473-4209&rft.coden=MPHYA6&rft_id=info:doi/10.1118/1.4962933&rft_dat=%3Cproquest_wiley%3E1835682162%3C/proquest_wiley%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1835682162&rft_id=info:pmid/27782706&rfr_iscdi=true