Development of a video image‐based QA system for the positional accuracy of dynamic tumor tracking irradiation in the Vero4DRT system

Purpose: To develop and evaluate a new video image‐based QA system, including in‐house software, that can display a tracking state visually and quantify the positional accuracy of dynamic tumor tracking irradiation in the Vero4DRT system. Methods: Sixteen trajectories in six patients with pulmonary...

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Veröffentlicht in:Medical physics (Lancaster) 2015-08, Vol.42 (8), p.4745-4754
Hauptverfasser: Ebe, Kazuyu, Sugimoto, Satoru, Utsunomiya, Satoru, Kagamu, Hiroshi, Aoyama, Hidefumi, Court, Laurence, Tokuyama, Katsuichi, Baba, Ryuta, Ogihara, Yoshisada, Ichikawa, Kosuke, Toyama, Joji
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container_end_page 4754
container_issue 8
container_start_page 4745
container_title Medical physics (Lancaster)
container_volume 42
creator Ebe, Kazuyu
Sugimoto, Satoru
Utsunomiya, Satoru
Kagamu, Hiroshi
Aoyama, Hidefumi
Court, Laurence
Tokuyama, Katsuichi
Baba, Ryuta
Ogihara, Yoshisada
Ichikawa, Kosuke
Toyama, Joji
description Purpose: To develop and evaluate a new video image‐based QA system, including in‐house software, that can display a tracking state visually and quantify the positional accuracy of dynamic tumor tracking irradiation in the Vero4DRT system. Methods: Sixteen trajectories in six patients with pulmonary cancer were obtained with the ExacTrac in the Vero4DRT system. Motion data in the cranio–caudal direction (Y direction) were used as the input for a programmable motion table (Quasar). A target phantom was placed on the motion table, which was placed on the 2D ionization chamber array (MatriXX). Then, the 4D modeling procedure was performed on the target phantom during a reproduction of the patient's tumor motion. A substitute target with the patient's tumor motion was irradiated with 6‐MV x‐rays under the surrogate infrared system. The 2D dose images obtained from the MatriXX (33 frames/s; 40 s) were exported to in‐house video‐image analyzing software. The absolute differences in the Y direction between the center of the exposed target and the center of the exposed field were calculated. Positional errors were observed. The authors’ QA results were compared to 4D modeling function errors and gimbal motion errors obtained from log analyses in the ExacTrac to verify the accuracy of their QA system. The patients’ tumor motions were evaluated in the wave forms, and the peak‐to‐peak distances were also measured to verify their reproducibility. Results: Thirteen of sixteen trajectories (81.3%) were successfully reproduced with Quasar. The peak‐to‐peak distances ranged from 2.7 to 29.0 mm. Three trajectories (18.7%) were not successfully reproduced due to the limited motions of the Quasar. Thus, 13 of 16 trajectories were summarized. The mean number of video images used for analysis was 1156. The positional errors (absolute mean difference + 2 standard deviation) ranged from 0.54 to 1.55 mm. The error values differed by less than 1 mm from 4D modeling function errors and gimbal motion errors in the ExacTrac log analyses (n = 13). Conclusions: The newly developed video image‐based QA system, including in‐house software, can analyze more than a thousand images (33 frames/s). Positional errors are approximately equivalent to those in ExacTrac log analyses. This system is useful for the visual illustration of the progress of the tracking state and for the quantification of positional accuracy during dynamic tumor tracking irradiation in the Vero4DRT system.
doi_str_mv 10.1118/1.4926779
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Methods: Sixteen trajectories in six patients with pulmonary cancer were obtained with the ExacTrac in the Vero4DRT system. Motion data in the cranio–caudal direction (Y direction) were used as the input for a programmable motion table (Quasar). A target phantom was placed on the motion table, which was placed on the 2D ionization chamber array (MatriXX). Then, the 4D modeling procedure was performed on the target phantom during a reproduction of the patient's tumor motion. A substitute target with the patient's tumor motion was irradiated with 6‐MV x‐rays under the surrogate infrared system. The 2D dose images obtained from the MatriXX (33 frames/s; 40 s) were exported to in‐house video‐image analyzing software. The absolute differences in the Y direction between the center of the exposed target and the center of the exposed field were calculated. Positional errors were observed. The authors’ QA results were compared to 4D modeling function errors and gimbal motion errors obtained from log analyses in the ExacTrac to verify the accuracy of their QA system. The patients’ tumor motions were evaluated in the wave forms, and the peak‐to‐peak distances were also measured to verify their reproducibility. Results: Thirteen of sixteen trajectories (81.3%) were successfully reproduced with Quasar. The peak‐to‐peak distances ranged from 2.7 to 29.0 mm. Three trajectories (18.7%) were not successfully reproduced due to the limited motions of the Quasar. Thus, 13 of 16 trajectories were summarized. The mean number of video images used for analysis was 1156. The positional errors (absolute mean difference + 2 standard deviation) ranged from 0.54 to 1.55 mm. The error values differed by less than 1 mm from 4D modeling function errors and gimbal motion errors in the ExacTrac log analyses (n = 13). Conclusions: The newly developed video image‐based QA system, including in‐house software, can analyze more than a thousand images (33 frames/s). Positional errors are approximately equivalent to those in ExacTrac log analyses. This system is useful for the visual illustration of the progress of the tracking state and for the quantification of positional accuracy during dynamic tumor tracking irradiation in the Vero4DRT system.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.4926779</identifier><identifier>PMID: 26233202</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>60 APPLIED LIFE SCIENCES ; ACCURACY ; Aged ; Aged, 80 and over ; Analysis of motion ; Biological material, e.g. blood, urine; Haemocytometers ; biomedical optical imaging ; cancer ; CARCINOMAS ; COMPUTER CODES ; Computer software ; Conformal radiation treatment ; Digital computing or data processing equipment or methods, specially adapted for specific applications ; Dose‐volume analysis ; Dosimetry ; dynamic tumor tracking irradiation ; Error analysis ; ERRORS ; Female ; Fiducial Markers ; Humans ; Image analysis ; Image data processing or generation, in general ; image motion analysis ; Image Processing, Computer-Assisted - methods ; infrared imaging ; ionisation chambers ; IONIZATION ; IONIZATION CHAMBERS ; IRRADIATION ; Kinematics ; Lung Neoplasms - radiotherapy ; LUNGS ; Male ; Measurement of nuclear or x‐radiation ; medical image processing ; Medical imaging ; Middle Aged ; Motion ; object tracking ; PATIENTS ; PHANTOMS ; Phantoms, Imaging ; QUASARS ; RADIATION PROTECTION AND DOSIMETRY ; radiation therapy ; Radiotherapy, Image-Guided - instrumentation ; Radiotherapy, Image-Guided - methods ; Real time information delivery ; REPRODUCTION ; SIMULATION ; Software ; Therapeutic applications, including brachytherapy ; Thermography ; Trajectory models ; Tubes for determining the presence, intensity, density or energy of radiation or particles ; tumours ; Vero4DRT ; video image‐based quality assurance ; Video Recording - methods ; video signal processing ; WAVE FORMS ; with scintillation detectors</subject><ispartof>Medical physics (Lancaster), 2015-08, Vol.42 (8), p.4745-4754</ispartof><rights>2015 The Authors. 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Methods: Sixteen trajectories in six patients with pulmonary cancer were obtained with the ExacTrac in the Vero4DRT system. Motion data in the cranio–caudal direction (Y direction) were used as the input for a programmable motion table (Quasar). A target phantom was placed on the motion table, which was placed on the 2D ionization chamber array (MatriXX). Then, the 4D modeling procedure was performed on the target phantom during a reproduction of the patient's tumor motion. A substitute target with the patient's tumor motion was irradiated with 6‐MV x‐rays under the surrogate infrared system. The 2D dose images obtained from the MatriXX (33 frames/s; 40 s) were exported to in‐house video‐image analyzing software. The absolute differences in the Y direction between the center of the exposed target and the center of the exposed field were calculated. Positional errors were observed. The authors’ QA results were compared to 4D modeling function errors and gimbal motion errors obtained from log analyses in the ExacTrac to verify the accuracy of their QA system. The patients’ tumor motions were evaluated in the wave forms, and the peak‐to‐peak distances were also measured to verify their reproducibility. Results: Thirteen of sixteen trajectories (81.3%) were successfully reproduced with Quasar. The peak‐to‐peak distances ranged from 2.7 to 29.0 mm. Three trajectories (18.7%) were not successfully reproduced due to the limited motions of the Quasar. Thus, 13 of 16 trajectories were summarized. The mean number of video images used for analysis was 1156. The positional errors (absolute mean difference + 2 standard deviation) ranged from 0.54 to 1.55 mm. The error values differed by less than 1 mm from 4D modeling function errors and gimbal motion errors in the ExacTrac log analyses (n = 13). Conclusions: The newly developed video image‐based QA system, including in‐house software, can analyze more than a thousand images (33 frames/s). Positional errors are approximately equivalent to those in ExacTrac log analyses. This system is useful for the visual illustration of the progress of the tracking state and for the quantification of positional accuracy during dynamic tumor tracking irradiation in the Vero4DRT system.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>ACCURACY</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis of motion</subject><subject>Biological material, e.g. blood, urine; Haemocytometers</subject><subject>biomedical optical imaging</subject><subject>cancer</subject><subject>CARCINOMAS</subject><subject>COMPUTER CODES</subject><subject>Computer software</subject><subject>Conformal radiation treatment</subject><subject>Digital computing or data processing equipment or methods, specially adapted for specific applications</subject><subject>Dose‐volume analysis</subject><subject>Dosimetry</subject><subject>dynamic tumor tracking irradiation</subject><subject>Error analysis</subject><subject>ERRORS</subject><subject>Female</subject><subject>Fiducial Markers</subject><subject>Humans</subject><subject>Image analysis</subject><subject>Image data processing or generation, in general</subject><subject>image motion analysis</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>infrared imaging</subject><subject>ionisation chambers</subject><subject>IONIZATION</subject><subject>IONIZATION CHAMBERS</subject><subject>IRRADIATION</subject><subject>Kinematics</subject><subject>Lung Neoplasms - radiotherapy</subject><subject>LUNGS</subject><subject>Male</subject><subject>Measurement of nuclear or x‐radiation</subject><subject>medical image processing</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Motion</subject><subject>object tracking</subject><subject>PATIENTS</subject><subject>PHANTOMS</subject><subject>Phantoms, Imaging</subject><subject>QUASARS</subject><subject>RADIATION PROTECTION AND DOSIMETRY</subject><subject>radiation therapy</subject><subject>Radiotherapy, Image-Guided - instrumentation</subject><subject>Radiotherapy, Image-Guided - methods</subject><subject>Real time information delivery</subject><subject>REPRODUCTION</subject><subject>SIMULATION</subject><subject>Software</subject><subject>Therapeutic applications, including brachytherapy</subject><subject>Thermography</subject><subject>Trajectory models</subject><subject>Tubes for determining the presence, intensity, density or energy of radiation or particles</subject><subject>tumours</subject><subject>Vero4DRT</subject><subject>video image‐based quality assurance</subject><subject>Video Recording - methods</subject><subject>video signal processing</subject><subject>WAVE FORMS</subject><subject>with scintillation detectors</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><recordid>eNp1kT1vFDEQhi0EIkeg4A8gSzRQbPDn7bqMEghIQXwo0Fqz9mxi2F1fbG_Qdulo-Y38EvZyBx3NzGj0zFPMS8hTzo44580rfqSMWNe1uUdWQtWyUoKZ-2TFmFGVUEwfkEc5f2OMraVmD8mBWAspBRMr8vMUb7CPmwHHQmNHgd4Ej5GGAS7x9-2vFjJ6-umY5jkXHGgXEy1XSDcxhxLiCD0F56YEbt6e-3mEIThapmELLuvvYbykISXwAbYHNIx3gq-Yojr9fLEXPyYPOugzPtn3Q_LlzeuLk7fV-YezdyfH55VTWpjK1F4COmMQhV6qkc74zkvWgjKNbDnX3Lfgl6lhbcdMDa3x6xqAYydrLQ_J85035hJsdqGgu3JxHNEVK4RuuOJsoV7sqE2K1xPmYoeQHfY9jBinbHnNuORS62ZBX-5Ql2LOCTu7Scvz0mw5s9t0LLf7dBb22V47tQP6f-TfOBag2gE_Qo_z_032_cc74R_L6ZlC</recordid><startdate>201508</startdate><enddate>201508</enddate><creator>Ebe, Kazuyu</creator><creator>Sugimoto, Satoru</creator><creator>Utsunomiya, Satoru</creator><creator>Kagamu, Hiroshi</creator><creator>Aoyama, Hidefumi</creator><creator>Court, Laurence</creator><creator>Tokuyama, Katsuichi</creator><creator>Baba, Ryuta</creator><creator>Ogihara, Yoshisada</creator><creator>Ichikawa, Kosuke</creator><creator>Toyama, Joji</creator><general>American Association of Physicists in Medicine</general><scope>24P</scope><scope>WIN</scope><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>OTOTI</scope></search><sort><creationdate>201508</creationdate><title>Development of a video image‐based QA system for the positional accuracy of dynamic tumor tracking irradiation in the Vero4DRT system</title><author>Ebe, Kazuyu ; Sugimoto, Satoru ; Utsunomiya, Satoru ; Kagamu, Hiroshi ; Aoyama, Hidefumi ; Court, Laurence ; Tokuyama, Katsuichi ; Baba, Ryuta ; Ogihara, Yoshisada ; Ichikawa, Kosuke ; Toyama, Joji</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4529-97d3aec99ee2599e93c9dfd30ba4983b1151dbad3b180bf097ab9d67aa1ef3753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>60 APPLIED LIFE SCIENCES</topic><topic>ACCURACY</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis of motion</topic><topic>Biological material, e.g. blood, urine; Haemocytometers</topic><topic>biomedical optical imaging</topic><topic>cancer</topic><topic>CARCINOMAS</topic><topic>COMPUTER CODES</topic><topic>Computer software</topic><topic>Conformal radiation treatment</topic><topic>Digital computing or data processing equipment or methods, specially adapted for specific applications</topic><topic>Dose‐volume analysis</topic><topic>Dosimetry</topic><topic>dynamic tumor tracking irradiation</topic><topic>Error analysis</topic><topic>ERRORS</topic><topic>Female</topic><topic>Fiducial Markers</topic><topic>Humans</topic><topic>Image analysis</topic><topic>Image data processing or generation, in general</topic><topic>image motion analysis</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>infrared imaging</topic><topic>ionisation chambers</topic><topic>IONIZATION</topic><topic>IONIZATION CHAMBERS</topic><topic>IRRADIATION</topic><topic>Kinematics</topic><topic>Lung Neoplasms - radiotherapy</topic><topic>LUNGS</topic><topic>Male</topic><topic>Measurement of nuclear or x‐radiation</topic><topic>medical image processing</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Motion</topic><topic>object tracking</topic><topic>PATIENTS</topic><topic>PHANTOMS</topic><topic>Phantoms, Imaging</topic><topic>QUASARS</topic><topic>RADIATION PROTECTION AND DOSIMETRY</topic><topic>radiation therapy</topic><topic>Radiotherapy, Image-Guided - instrumentation</topic><topic>Radiotherapy, Image-Guided - methods</topic><topic>Real time information delivery</topic><topic>REPRODUCTION</topic><topic>SIMULATION</topic><topic>Software</topic><topic>Therapeutic applications, including brachytherapy</topic><topic>Thermography</topic><topic>Trajectory models</topic><topic>Tubes for determining the presence, intensity, density or energy of radiation or particles</topic><topic>tumours</topic><topic>Vero4DRT</topic><topic>video image‐based quality assurance</topic><topic>Video Recording - methods</topic><topic>video signal processing</topic><topic>WAVE FORMS</topic><topic>with scintillation detectors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ebe, Kazuyu</creatorcontrib><creatorcontrib>Sugimoto, Satoru</creatorcontrib><creatorcontrib>Utsunomiya, Satoru</creatorcontrib><creatorcontrib>Kagamu, Hiroshi</creatorcontrib><creatorcontrib>Aoyama, Hidefumi</creatorcontrib><creatorcontrib>Court, Laurence</creatorcontrib><creatorcontrib>Tokuyama, Katsuichi</creatorcontrib><creatorcontrib>Baba, Ryuta</creatorcontrib><creatorcontrib>Ogihara, Yoshisada</creatorcontrib><creatorcontrib>Ichikawa, Kosuke</creatorcontrib><creatorcontrib>Toyama, Joji</creatorcontrib><collection>Wiley Open Access</collection><collection>Wiley Online Library Journals</collection><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>OSTI.GOV</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ebe, Kazuyu</au><au>Sugimoto, Satoru</au><au>Utsunomiya, Satoru</au><au>Kagamu, Hiroshi</au><au>Aoyama, Hidefumi</au><au>Court, Laurence</au><au>Tokuyama, Katsuichi</au><au>Baba, Ryuta</au><au>Ogihara, Yoshisada</au><au>Ichikawa, Kosuke</au><au>Toyama, Joji</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a video image‐based QA system for the positional accuracy of dynamic tumor tracking irradiation in the Vero4DRT system</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2015-08</date><risdate>2015</risdate><volume>42</volume><issue>8</issue><spage>4745</spage><epage>4754</epage><pages>4745-4754</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><abstract>Purpose: To develop and evaluate a new video image‐based QA system, including in‐house software, that can display a tracking state visually and quantify the positional accuracy of dynamic tumor tracking irradiation in the Vero4DRT system. Methods: Sixteen trajectories in six patients with pulmonary cancer were obtained with the ExacTrac in the Vero4DRT system. Motion data in the cranio–caudal direction (Y direction) were used as the input for a programmable motion table (Quasar). A target phantom was placed on the motion table, which was placed on the 2D ionization chamber array (MatriXX). Then, the 4D modeling procedure was performed on the target phantom during a reproduction of the patient's tumor motion. A substitute target with the patient's tumor motion was irradiated with 6‐MV x‐rays under the surrogate infrared system. The 2D dose images obtained from the MatriXX (33 frames/s; 40 s) were exported to in‐house video‐image analyzing software. The absolute differences in the Y direction between the center of the exposed target and the center of the exposed field were calculated. Positional errors were observed. The authors’ QA results were compared to 4D modeling function errors and gimbal motion errors obtained from log analyses in the ExacTrac to verify the accuracy of their QA system. The patients’ tumor motions were evaluated in the wave forms, and the peak‐to‐peak distances were also measured to verify their reproducibility. Results: Thirteen of sixteen trajectories (81.3%) were successfully reproduced with Quasar. The peak‐to‐peak distances ranged from 2.7 to 29.0 mm. Three trajectories (18.7%) were not successfully reproduced due to the limited motions of the Quasar. Thus, 13 of 16 trajectories were summarized. The mean number of video images used for analysis was 1156. The positional errors (absolute mean difference + 2 standard deviation) ranged from 0.54 to 1.55 mm. The error values differed by less than 1 mm from 4D modeling function errors and gimbal motion errors in the ExacTrac log analyses (n = 13). Conclusions: The newly developed video image‐based QA system, including in‐house software, can analyze more than a thousand images (33 frames/s). Positional errors are approximately equivalent to those in ExacTrac log analyses. This system is useful for the visual illustration of the progress of the tracking state and for the quantification of positional accuracy during dynamic tumor tracking irradiation in the Vero4DRT system.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>26233202</pmid><doi>10.1118/1.4926779</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; Wiley Online Library Journals; Alma/SFX Local Collection
subjects 60 APPLIED LIFE SCIENCES
ACCURACY
Aged
Aged, 80 and over
Analysis of motion
Biological material, e.g. blood, urine
Haemocytometers
biomedical optical imaging
cancer
CARCINOMAS
COMPUTER CODES
Computer software
Conformal radiation treatment
Digital computing or data processing equipment or methods, specially adapted for specific applications
Dose‐volume analysis
Dosimetry
dynamic tumor tracking irradiation
Error analysis
ERRORS
Female
Fiducial Markers
Humans
Image analysis
Image data processing or generation, in general
image motion analysis
Image Processing, Computer-Assisted - methods
infrared imaging
ionisation chambers
IONIZATION
IONIZATION CHAMBERS
IRRADIATION
Kinematics
Lung Neoplasms - radiotherapy
LUNGS
Male
Measurement of nuclear or x‐radiation
medical image processing
Medical imaging
Middle Aged
Motion
object tracking
PATIENTS
PHANTOMS
Phantoms, Imaging
QUASARS
RADIATION PROTECTION AND DOSIMETRY
radiation therapy
Radiotherapy, Image-Guided - instrumentation
Radiotherapy, Image-Guided - methods
Real time information delivery
REPRODUCTION
SIMULATION
Software
Therapeutic applications, including brachytherapy
Thermography
Trajectory models
Tubes for determining the presence, intensity, density or energy of radiation or particles
tumours
Vero4DRT
video image‐based quality assurance
Video Recording - methods
video signal processing
WAVE FORMS
with scintillation detectors
title Development of a video image‐based QA system for the positional accuracy of dynamic tumor tracking irradiation in the Vero4DRT system
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