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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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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_wiley</sourceid><recordid>TN_cdi_wiley_primary_10_1118_1_4962933_MP2933</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1835682162</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4933-d71ed5669ba37c72ef721a206dc6a732caabd8d1a432876cfb3af55e2d50a4643</originalsourceid><addsrcrecordid>eNp9kU1vEzEQhi0EoqFw4A8gHwFpi7_W3j2WCGikVPQQztasPRuMNutgb4L673G7oXApJ0vj531GM0PIa84uOOfNB36hWi1aKZ-QhVBGVkqw9ilZMNaqSihWn5EXOf9gjGlZs-fkTBjTCMP0guTVeMQ8hS1MYdxSj31MO-gGpGEHW6QJtyFPqfzGkcLoaXYwTZioiymhuy-XCF1-XG6qDjJ66mNG6mBwh2GOhZL0sJ_CEenq-mbzkjzrYcj46vSek2-fP22WV9X665fV8nJdOVVmqbzh6Gut2w6kcUZgbwQHwbR3GowUDqDzjeegpGiMdn0noa9rFL5moLSS5-Td7P0Og92nMlC6tRGCvbpc27sa49IoZvSRF_btzO5T_HkoG7G7kB0OA4wYD9nyRta6EVyLv1qXYs4J-wc3Z_buHpbb0z0K--akPXQ79A_knwMUoJqBX2HA28dN9vrmJHw_89mF6X69_-3-KHyM6R_53vfyN_Ccrvo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1835682162</pqid></control><display><type>article</type><title>Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT</title><source>MEDLINE</source><source>Access via Wiley Online Library</source><source>Alma/SFX Local Collection</source><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</creator><creatorcontrib>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</creatorcontrib><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><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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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 |