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A tri-hybrid method to estimate the patient-generated scattered photon fluence components to the EPID image plane
In vivo dosimetry methods can verify the prescription dose is delivered to the patient during treatment. Unfortunately, in exit dosimetry, the megavoltage image is contaminated with patient-generated scattered photons. However, estimation and removal of the effect of this fluence improves accuracy o...
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Published in: | Physics in medicine & biology 2020-09, Vol.65 (18), p.185008-185008 |
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description | In vivo dosimetry methods can verify the prescription dose is delivered to the patient during treatment. Unfortunately, in exit dosimetry, the megavoltage image is contaminated with patient-generated scattered photons. However, estimation and removal of the effect of this fluence improves accuracy of in vivo dosimetry methods. This work develops a 'tri-hybrid' algorithm combining analytical, Monte Carlo (MC) and pencil-beam scatter kernel methods to provide accurate estimates of the total patient-generated scattered photon fluence entering the MV imager. For the multiply-scattered photon fluence, a modified MC simulation method was applied, using only a few histories. From each second- and higher-order interaction site in the simulation, energy fluence entering all pixels of the imager was calculated using analytical methods. For photon fluence generated by electron interactions in the patient (i.e. bremsstrahlung and positron annihilation), a convolution/superposition approach was employed using pencil-beam scatter fluence kernels as a function of patient thickness and air gap distance, superposed on the incident fluence distribution. The total patient-scattered photon fluence entering the imager was compared with a corresponding full MC simulation (EGSnrc) for several test cases. These included three geometric phantoms (water, half-water/half-lung, computed tomography thorax) using monoenergetic (1.5, 5.5 and 12.5 MeV) and polyenergetic (6 and 18 MV) photon beams, 10 × 10 cm2 field, source-to-surface distance 100 cm, source-to-imager distance 150 cm and 40 × 40 cm2 imager. The proposed tri-hybrid method is demonstrated to agree well with full MC simulation, with the average fluence differences and standard deviations found to be within 0.5% and 1%, respectively, for test cases examined here. The method, as implemented here with a single CPU (non-parallelized), takes ∼80 s, which is considerably shorter compared to full MC simulation (∼30 h). This is a promising method for fast yet accurate calculation of patient-scattered fluence at the imaging plane for in vivo dosimetry applications. |
doi_str_mv | 10.1088/1361-6560/ab9ae4 |
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Unfortunately, in exit dosimetry, the megavoltage image is contaminated with patient-generated scattered photons. However, estimation and removal of the effect of this fluence improves accuracy of in vivo dosimetry methods. This work develops a 'tri-hybrid' algorithm combining analytical, Monte Carlo (MC) and pencil-beam scatter kernel methods to provide accurate estimates of the total patient-generated scattered photon fluence entering the MV imager. For the multiply-scattered photon fluence, a modified MC simulation method was applied, using only a few histories. From each second- and higher-order interaction site in the simulation, energy fluence entering all pixels of the imager was calculated using analytical methods. For photon fluence generated by electron interactions in the patient (i.e. bremsstrahlung and positron annihilation), a convolution/superposition approach was employed using pencil-beam scatter fluence kernels as a function of patient thickness and air gap distance, superposed on the incident fluence distribution. The total patient-scattered photon fluence entering the imager was compared with a corresponding full MC simulation (EGSnrc) for several test cases. These included three geometric phantoms (water, half-water/half-lung, computed tomography thorax) using monoenergetic (1.5, 5.5 and 12.5 MeV) and polyenergetic (6 and 18 MV) photon beams, 10 × 10 cm2 field, source-to-surface distance 100 cm, source-to-imager distance 150 cm and 40 × 40 cm2 imager. The proposed tri-hybrid method is demonstrated to agree well with full MC simulation, with the average fluence differences and standard deviations found to be within 0.5% and 1%, respectively, for test cases examined here. The method, as implemented here with a single CPU (non-parallelized), takes ∼80 s, which is considerably shorter compared to full MC simulation (∼30 h). This is a promising method for fast yet accurate calculation of patient-scattered fluence at the imaging plane for in vivo dosimetry applications.</description><identifier>ISSN: 0031-9155</identifier><identifier>ISSN: 1361-6560</identifier><identifier>EISSN: 1361-6560</identifier><identifier>DOI: 10.1088/1361-6560/ab9ae4</identifier><identifier>CODEN: PHMBA7</identifier><language>eng</language><publisher>IOP Publishing</publisher><subject>dosimetry ; EPID dosimetry ; Monte Carlo simulation ; scatter estimation</subject><ispartof>Physics in medicine & biology, 2020-09, Vol.65 (18), p.185008-185008</ispartof><rights>2020 Institute of Physics and Engineering in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-5fa73be28951d53d29b221782c9b3bd36321e9378fa085db6d2cdef35d2c67da3</citedby><cites>FETCH-LOGICAL-c346t-5fa73be28951d53d29b221782c9b3bd36321e9378fa085db6d2cdef35d2c67da3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Guo, Kaiming</creatorcontrib><creatorcontrib>Ingleby, Harry</creatorcontrib><creatorcontrib>Uytven, Eric Van</creatorcontrib><creatorcontrib>Elbakri, Idris</creatorcontrib><creatorcontrib>Beek, Timothy Van</creatorcontrib><creatorcontrib>McCurdy, Boyd</creatorcontrib><title>A tri-hybrid method to estimate the patient-generated scattered photon fluence components to the EPID image plane</title><title>Physics in medicine & biology</title><addtitle>PMB</addtitle><addtitle>Phys. Med. Biol</addtitle><description>In vivo dosimetry methods can verify the prescription dose is delivered to the patient during treatment. Unfortunately, in exit dosimetry, the megavoltage image is contaminated with patient-generated scattered photons. However, estimation and removal of the effect of this fluence improves accuracy of in vivo dosimetry methods. This work develops a 'tri-hybrid' algorithm combining analytical, Monte Carlo (MC) and pencil-beam scatter kernel methods to provide accurate estimates of the total patient-generated scattered photon fluence entering the MV imager. For the multiply-scattered photon fluence, a modified MC simulation method was applied, using only a few histories. From each second- and higher-order interaction site in the simulation, energy fluence entering all pixels of the imager was calculated using analytical methods. For photon fluence generated by electron interactions in the patient (i.e. bremsstrahlung and positron annihilation), a convolution/superposition approach was employed using pencil-beam scatter fluence kernels as a function of patient thickness and air gap distance, superposed on the incident fluence distribution. The total patient-scattered photon fluence entering the imager was compared with a corresponding full MC simulation (EGSnrc) for several test cases. These included three geometric phantoms (water, half-water/half-lung, computed tomography thorax) using monoenergetic (1.5, 5.5 and 12.5 MeV) and polyenergetic (6 and 18 MV) photon beams, 10 × 10 cm2 field, source-to-surface distance 100 cm, source-to-imager distance 150 cm and 40 × 40 cm2 imager. The proposed tri-hybrid method is demonstrated to agree well with full MC simulation, with the average fluence differences and standard deviations found to be within 0.5% and 1%, respectively, for test cases examined here. The method, as implemented here with a single CPU (non-parallelized), takes ∼80 s, which is considerably shorter compared to full MC simulation (∼30 h). This is a promising method for fast yet accurate calculation of patient-scattered fluence at the imaging plane for in vivo dosimetry applications.</description><subject>dosimetry</subject><subject>EPID dosimetry</subject><subject>Monte Carlo simulation</subject><subject>scatter estimation</subject><issn>0031-9155</issn><issn>1361-6560</issn><issn>1361-6560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kD1PwzAQhi0EEqWwM3pkIOCPOHHGqhSoVAkGmC0nvjSpkji13aH_HkdFsMB0p9Nzj-5ehG4peaBEykfKM5pkIiOPuiw0pGdo9jM6RzNCOE0KKsQluvJ-RwilkqUztF_g4NqkOZauNbiH0FiDg8XgQ9vrADg0gEcdWhhCsoUBXBwa7CsdArjYjY0NdsB1d4ChAlzZfrRDhP1kmZZX7-snHF3b6On0ANfootadh5vvOkefz6uP5WuyeXtZLxebpOJpFhJR65yXwGQhqBHcsKJkjOaSVUXJS8MzzigUPJe1JlKYMjOsMlBzEWuWG83n6O7kHZ3dH-I_qm99Bd10gz14xVJKRSrSnESUnNDKWe8d1Gp08WJ3VJSoKV01RammKNUp3V97a0e1swc3xF_U2JeRUjQuSEGIVKOpI3r_B_qv-QvFLIpt</recordid><startdate>20200914</startdate><enddate>20200914</enddate><creator>Guo, Kaiming</creator><creator>Ingleby, Harry</creator><creator>Uytven, Eric Van</creator><creator>Elbakri, Idris</creator><creator>Beek, Timothy Van</creator><creator>McCurdy, Boyd</creator><general>IOP Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20200914</creationdate><title>A tri-hybrid method to estimate the patient-generated scattered photon fluence components to the EPID image plane</title><author>Guo, Kaiming ; Ingleby, Harry ; Uytven, Eric Van ; Elbakri, Idris ; Beek, Timothy Van ; McCurdy, Boyd</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-5fa73be28951d53d29b221782c9b3bd36321e9378fa085db6d2cdef35d2c67da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>dosimetry</topic><topic>EPID dosimetry</topic><topic>Monte Carlo simulation</topic><topic>scatter estimation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Kaiming</creatorcontrib><creatorcontrib>Ingleby, Harry</creatorcontrib><creatorcontrib>Uytven, Eric Van</creatorcontrib><creatorcontrib>Elbakri, Idris</creatorcontrib><creatorcontrib>Beek, Timothy Van</creatorcontrib><creatorcontrib>McCurdy, Boyd</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Physics in medicine & biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Kaiming</au><au>Ingleby, Harry</au><au>Uytven, Eric Van</au><au>Elbakri, Idris</au><au>Beek, Timothy Van</au><au>McCurdy, Boyd</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A tri-hybrid method to estimate the patient-generated scattered photon fluence components to the EPID image plane</atitle><jtitle>Physics in medicine & biology</jtitle><stitle>PMB</stitle><addtitle>Phys. Med. Biol</addtitle><date>2020-09-14</date><risdate>2020</risdate><volume>65</volume><issue>18</issue><spage>185008</spage><epage>185008</epage><pages>185008-185008</pages><issn>0031-9155</issn><issn>1361-6560</issn><eissn>1361-6560</eissn><coden>PHMBA7</coden><abstract>In vivo dosimetry methods can verify the prescription dose is delivered to the patient during treatment. Unfortunately, in exit dosimetry, the megavoltage image is contaminated with patient-generated scattered photons. However, estimation and removal of the effect of this fluence improves accuracy of in vivo dosimetry methods. This work develops a 'tri-hybrid' algorithm combining analytical, Monte Carlo (MC) and pencil-beam scatter kernel methods to provide accurate estimates of the total patient-generated scattered photon fluence entering the MV imager. For the multiply-scattered photon fluence, a modified MC simulation method was applied, using only a few histories. From each second- and higher-order interaction site in the simulation, energy fluence entering all pixels of the imager was calculated using analytical methods. For photon fluence generated by electron interactions in the patient (i.e. bremsstrahlung and positron annihilation), a convolution/superposition approach was employed using pencil-beam scatter fluence kernels as a function of patient thickness and air gap distance, superposed on the incident fluence distribution. The total patient-scattered photon fluence entering the imager was compared with a corresponding full MC simulation (EGSnrc) for several test cases. These included three geometric phantoms (water, half-water/half-lung, computed tomography thorax) using monoenergetic (1.5, 5.5 and 12.5 MeV) and polyenergetic (6 and 18 MV) photon beams, 10 × 10 cm2 field, source-to-surface distance 100 cm, source-to-imager distance 150 cm and 40 × 40 cm2 imager. The proposed tri-hybrid method is demonstrated to agree well with full MC simulation, with the average fluence differences and standard deviations found to be within 0.5% and 1%, respectively, for test cases examined here. The method, as implemented here with a single CPU (non-parallelized), takes ∼80 s, which is considerably shorter compared to full MC simulation (∼30 h). This is a promising method for fast yet accurate calculation of patient-scattered fluence at the imaging plane for in vivo dosimetry applications.</abstract><pub>IOP Publishing</pub><doi>10.1088/1361-6560/ab9ae4</doi><tpages>14</tpages></addata></record> |
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title | A tri-hybrid method to estimate the patient-generated scattered photon fluence components to the EPID image plane |
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