Beam's‐eye‐view imaging during non‐coplanar lung SBRT

Purpose: Beam's‐eye‐view (BEV) imaging with an electronic portal imaging device (EPID) can be performed during lung stereotactic body radiation therapy (SBRT) to monitor the tumor location in real‐time. Image quality for each patient and treatment field depends on several factors including the...

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Veröffentlicht in:Medical physics (Lancaster) 2015-12, Vol.42 (12), p.6776-6783
Hauptverfasser: Yip, Stephen S. F., Rottmann, Joerg, Berbeco, Ross I.
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description Purpose: Beam's‐eye‐view (BEV) imaging with an electronic portal imaging device (EPID) can be performed during lung stereotactic body radiation therapy (SBRT) to monitor the tumor location in real‐time. Image quality for each patient and treatment field depends on several factors including the patient anatomy and the gantry and couch angles. The authors investigated the angular dependence of automatic tumor localization during non‐coplanar lung SBRT delivery. Methods: All images were acquired at a frame rate of 12 Hz with an amorphous silicon EPID. A previously validated markerless lung tumor localization algorithm was employed with manual localization as the reference. From ten SBRT patients, 12 987 image frames of 123 image sequences acquired at 48 different gantry–couch rotations were analyzed. δ was defined by the position difference of the automatic and manual localization. Results: Regardless of the couch angle, the best tracking performance was found in image sequences with a gantry angle within 20° of 250° (δ = 1.40 mm). Image sequences acquired with gantry angles of 150°, 210°, and 350° also led to good tracking performances with δ = 1.77–2.00 mm. Overall, the couch angle was not correlated with the tracking results. Among all the gantry–couch combinations, image sequences acquired at (θ = 30°, ϕ = 330°), (θ = 210°, ϕ = 10°), and (θ = 250°, ϕ = 30°) led to the best tracking results with δ = 1.19–1.82 mm. The worst performing combinations were (θ = 90° and 230°, ϕ = 10°) and (θ = 270°, ϕ = 30°) with δ > 3.5 mm. However, 35% (17/48) of the gantry–couch rotations demonstrated substantial variability in tracking performances between patients. For example, the field angle (θ = 70°, ϕ = 10°) was acquired for five patients. While the tracking errors were ≤1.98 mm for three patients, poor performance was found for the other two patients with δ ≥ 2.18 mm, leading to average tracking error of 2.70 mm. Only one image sequence was acquired for all other gantry–couch rotations (δ = 1.18–10.29 mm). Conclusions: Non‐coplanar beams with gantry–couch rotation of (θ = 30°, ϕ = 330°), (θ = 210°, ϕ = 10°), and (θ = 250°, ϕ = 30°) have the highest accuracy for BEV lung tumor localization. Additionally, gantry angles of 150°, 210°, 250°, and 350° also offer good tracking performance. The beam geometries (θ = 90° and 230°, ϕ = 10°) and (θ = 270°, ϕ = 30°) are associated with substantial automatic localization errors. Overall, lung tumor visibility and tracking performan
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F. ; Rottmann, Joerg ; Berbeco, Ross I.</creator><creatorcontrib>Yip, Stephen S. F. ; Rottmann, Joerg ; Berbeco, Ross I.</creatorcontrib><description>Purpose: Beam's‐eye‐view (BEV) imaging with an electronic portal imaging device (EPID) can be performed during lung stereotactic body radiation therapy (SBRT) to monitor the tumor location in real‐time. Image quality for each patient and treatment field depends on several factors including the patient anatomy and the gantry and couch angles. The authors investigated the angular dependence of automatic tumor localization during non‐coplanar lung SBRT delivery. Methods: All images were acquired at a frame rate of 12 Hz with an amorphous silicon EPID. A previously validated markerless lung tumor localization algorithm was employed with manual localization as the reference. From ten SBRT patients, 12 987 image frames of 123 image sequences acquired at 48 different gantry–couch rotations were analyzed. δ was defined by the position difference of the automatic and manual localization. Results: Regardless of the couch angle, the best tracking performance was found in image sequences with a gantry angle within 20° of 250° (δ = 1.40 mm). Image sequences acquired with gantry angles of 150°, 210°, and 350° also led to good tracking performances with δ = 1.77–2.00 mm. Overall, the couch angle was not correlated with the tracking results. Among all the gantry–couch combinations, image sequences acquired at (θ = 30°, ϕ = 330°), (θ = 210°, ϕ = 10°), and (θ = 250°, ϕ = 30°) led to the best tracking results with δ = 1.19–1.82 mm. The worst performing combinations were (θ = 90° and 230°, ϕ = 10°) and (θ = 270°, ϕ = 30°) with δ &gt; 3.5 mm. However, 35% (17/48) of the gantry–couch rotations demonstrated substantial variability in tracking performances between patients. For example, the field angle (θ = 70°, ϕ = 10°) was acquired for five patients. While the tracking errors were ≤1.98 mm for three patients, poor performance was found for the other two patients with δ ≥ 2.18 mm, leading to average tracking error of 2.70 mm. Only one image sequence was acquired for all other gantry–couch rotations (δ = 1.18–10.29 mm). Conclusions: Non‐coplanar beams with gantry–couch rotation of (θ = 30°, ϕ = 330°), (θ = 210°, ϕ = 10°), and (θ = 250°, ϕ = 30°) have the highest accuracy for BEV lung tumor localization. Additionally, gantry angles of 150°, 210°, 250°, and 350° also offer good tracking performance. The beam geometries (θ = 90° and 230°, ϕ = 10°) and (θ = 270°, ϕ = 30°) are associated with substantial automatic localization errors. Overall, lung tumor visibility and tracking performance were patient dependent for a substantial number of the gantry–couch angle combinations studied.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.4934824</identifier><identifier>PMID: 26632035</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>60 APPLIED LIFE SCIENCES ; ALGORITHMS ; ANATOMY ; beam's‐eye‐view imaging ; Biological material, e.g. blood, urine; Haemocytometers ; BIOMEDICAL RADIOGRAPHY ; Cancer ; Carcinoma, Non-Small-Cell Lung - pathology ; Carcinoma, Non-Small-Cell Lung - surgery ; diagnostic radiography ; Digital computing or data processing equipment or methods, specially adapted for specific applications ; EPID imaging ; Humans ; Image data processing or generation, in general ; Image guided radiation therapy ; image sequences ; lung ; Lung - pathology ; Lung - surgery ; LUNGS ; markerless tracking ; medical image processing ; Medical image quality ; NEOPLASMS ; non‐coplanar radiotherapy ; Operating Tables ; PATIENTS ; Pattern Recognition, Automated ; radiation therapy ; Radiation Therapy Physics ; Radiation treatment ; Radiography ; Radiosurgery - instrumentation ; Radiosurgery - methods ; RADIOTHERAPY ; Rotation ; Sequence analysis ; stereotactic body radiation therapy ; Surgery, Computer-Assisted - instrumentation ; Surgery, Computer-Assisted - methods ; Therapeutic applications ; tumours ; Visibility</subject><ispartof>Medical physics (Lancaster), 2015-12, Vol.42 (12), p.6776-6783</ispartof><rights>2015 American Association of Physicists in Medicine</rights><rights>Copyright © 2015 American Association of Physicists in Medicine 2015 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4414-4759a11c0c12b529d2a27ae36de153d1308704a1ffdcd2519639173ec58d8d5e3</citedby><cites>FETCH-LOGICAL-c4414-4759a11c0c12b529d2a27ae36de153d1308704a1ffdcd2519639173ec58d8d5e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.4934824$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.4934824$$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/26632035$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/22482417$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Yip, Stephen S. F.</creatorcontrib><creatorcontrib>Rottmann, Joerg</creatorcontrib><creatorcontrib>Berbeco, Ross I.</creatorcontrib><title>Beam's‐eye‐view imaging during non‐coplanar lung SBRT</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Purpose: Beam's‐eye‐view (BEV) imaging with an electronic portal imaging device (EPID) can be performed during lung stereotactic body radiation therapy (SBRT) to monitor the tumor location in real‐time. Image quality for each patient and treatment field depends on several factors including the patient anatomy and the gantry and couch angles. The authors investigated the angular dependence of automatic tumor localization during non‐coplanar lung SBRT delivery. Methods: All images were acquired at a frame rate of 12 Hz with an amorphous silicon EPID. A previously validated markerless lung tumor localization algorithm was employed with manual localization as the reference. From ten SBRT patients, 12 987 image frames of 123 image sequences acquired at 48 different gantry–couch rotations were analyzed. δ was defined by the position difference of the automatic and manual localization. Results: Regardless of the couch angle, the best tracking performance was found in image sequences with a gantry angle within 20° of 250° (δ = 1.40 mm). Image sequences acquired with gantry angles of 150°, 210°, and 350° also led to good tracking performances with δ = 1.77–2.00 mm. Overall, the couch angle was not correlated with the tracking results. Among all the gantry–couch combinations, image sequences acquired at (θ = 30°, ϕ = 330°), (θ = 210°, ϕ = 10°), and (θ = 250°, ϕ = 30°) led to the best tracking results with δ = 1.19–1.82 mm. The worst performing combinations were (θ = 90° and 230°, ϕ = 10°) and (θ = 270°, ϕ = 30°) with δ &gt; 3.5 mm. However, 35% (17/48) of the gantry–couch rotations demonstrated substantial variability in tracking performances between patients. For example, the field angle (θ = 70°, ϕ = 10°) was acquired for five patients. While the tracking errors were ≤1.98 mm for three patients, poor performance was found for the other two patients with δ ≥ 2.18 mm, leading to average tracking error of 2.70 mm. Only one image sequence was acquired for all other gantry–couch rotations (δ = 1.18–10.29 mm). Conclusions: Non‐coplanar beams with gantry–couch rotation of (θ = 30°, ϕ = 330°), (θ = 210°, ϕ = 10°), and (θ = 250°, ϕ = 30°) have the highest accuracy for BEV lung tumor localization. Additionally, gantry angles of 150°, 210°, 250°, and 350° also offer good tracking performance. The beam geometries (θ = 90° and 230°, ϕ = 10°) and (θ = 270°, ϕ = 30°) are associated with substantial automatic localization errors. Overall, lung tumor visibility and tracking performance were patient dependent for a substantial number of the gantry–couch angle combinations studied.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>ALGORITHMS</subject><subject>ANATOMY</subject><subject>beam's‐eye‐view imaging</subject><subject>Biological material, e.g. blood, urine; Haemocytometers</subject><subject>BIOMEDICAL RADIOGRAPHY</subject><subject>Cancer</subject><subject>Carcinoma, Non-Small-Cell Lung - pathology</subject><subject>Carcinoma, Non-Small-Cell Lung - surgery</subject><subject>diagnostic radiography</subject><subject>Digital computing or data processing equipment or methods, specially adapted for specific applications</subject><subject>EPID imaging</subject><subject>Humans</subject><subject>Image data processing or generation, in general</subject><subject>Image guided radiation therapy</subject><subject>image sequences</subject><subject>lung</subject><subject>Lung - pathology</subject><subject>Lung - surgery</subject><subject>LUNGS</subject><subject>markerless tracking</subject><subject>medical image processing</subject><subject>Medical image quality</subject><subject>NEOPLASMS</subject><subject>non‐coplanar radiotherapy</subject><subject>Operating Tables</subject><subject>PATIENTS</subject><subject>Pattern Recognition, Automated</subject><subject>radiation therapy</subject><subject>Radiation Therapy Physics</subject><subject>Radiation treatment</subject><subject>Radiography</subject><subject>Radiosurgery - instrumentation</subject><subject>Radiosurgery - methods</subject><subject>RADIOTHERAPY</subject><subject>Rotation</subject><subject>Sequence analysis</subject><subject>stereotactic body radiation therapy</subject><subject>Surgery, Computer-Assisted - instrumentation</subject><subject>Surgery, Computer-Assisted - methods</subject><subject>Therapeutic applications</subject><subject>tumours</subject><subject>Visibility</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc9OGzEQxi1UBCFw4AWqSD2UHjZ4_G93hVSpRC0ggUAQzpaxJ8HVZp2ud4ly6yPwjH2SOiQgeuhlRpr56ZvP_gg5BDoEgOIYhqLkomBii_SYyHkmGC0_kB6lpciYoHKX7MX4k1KquKQ7ZJcpxRnlskdOTtHMPsc_v59xiak-eVwM_MxMfT0duK5ZtTrUaWPDvDK1aQZVl2Z3p7fjfbI9MVXEg03vk_sf38ej8-zy-uxi9O0ys0KAyEQuSwNgqQX2IFnpmGG5Qa4cguQOOC1yKgxMJs46JqFUvISco5WFK5xE3idf17rz7mGGzmLdNqbS8yb5bJY6GK__3dT-UU_DkxaKK0mLJPBpLRBi63W0vkX7aENdo201Y6ufSwf75Ghzpgm_OoytnvlosUqvxtBFDbkQSgEFkdAva9Q2IcYGJ29mgOpVJBr0JpLEfnzv_o18zSAB2RpY-AqX_1fSVzcvgn8B5GCUpQ</recordid><startdate>201512</startdate><enddate>201512</enddate><creator>Yip, Stephen S. F.</creator><creator>Rottmann, Joerg</creator><creator>Berbeco, Ross I.</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>OTOTI</scope><scope>5PM</scope></search><sort><creationdate>201512</creationdate><title>Beam's‐eye‐view imaging during non‐coplanar lung SBRT</title><author>Yip, Stephen S. F. ; Rottmann, Joerg ; Berbeco, Ross I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4414-4759a11c0c12b529d2a27ae36de153d1308704a1ffdcd2519639173ec58d8d5e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>60 APPLIED LIFE SCIENCES</topic><topic>ALGORITHMS</topic><topic>ANATOMY</topic><topic>beam's‐eye‐view imaging</topic><topic>Biological material, e.g. blood, urine; Haemocytometers</topic><topic>BIOMEDICAL RADIOGRAPHY</topic><topic>Cancer</topic><topic>Carcinoma, Non-Small-Cell Lung - pathology</topic><topic>Carcinoma, Non-Small-Cell Lung - surgery</topic><topic>diagnostic radiography</topic><topic>Digital computing or data processing equipment or methods, specially adapted for specific applications</topic><topic>EPID imaging</topic><topic>Humans</topic><topic>Image data processing or generation, in general</topic><topic>Image guided radiation therapy</topic><topic>image sequences</topic><topic>lung</topic><topic>Lung - pathology</topic><topic>Lung - surgery</topic><topic>LUNGS</topic><topic>markerless tracking</topic><topic>medical image processing</topic><topic>Medical image quality</topic><topic>NEOPLASMS</topic><topic>non‐coplanar radiotherapy</topic><topic>Operating Tables</topic><topic>PATIENTS</topic><topic>Pattern Recognition, Automated</topic><topic>radiation therapy</topic><topic>Radiation Therapy Physics</topic><topic>Radiation treatment</topic><topic>Radiography</topic><topic>Radiosurgery - instrumentation</topic><topic>Radiosurgery - methods</topic><topic>RADIOTHERAPY</topic><topic>Rotation</topic><topic>Sequence analysis</topic><topic>stereotactic body radiation therapy</topic><topic>Surgery, Computer-Assisted - instrumentation</topic><topic>Surgery, Computer-Assisted - methods</topic><topic>Therapeutic applications</topic><topic>tumours</topic><topic>Visibility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yip, Stephen S. F.</creatorcontrib><creatorcontrib>Rottmann, Joerg</creatorcontrib><creatorcontrib>Berbeco, Ross I.</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>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yip, Stephen S. F.</au><au>Rottmann, Joerg</au><au>Berbeco, Ross I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Beam's‐eye‐view imaging during non‐coplanar lung SBRT</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2015-12</date><risdate>2015</risdate><volume>42</volume><issue>12</issue><spage>6776</spage><epage>6783</epage><pages>6776-6783</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><abstract>Purpose: Beam's‐eye‐view (BEV) imaging with an electronic portal imaging device (EPID) can be performed during lung stereotactic body radiation therapy (SBRT) to monitor the tumor location in real‐time. Image quality for each patient and treatment field depends on several factors including the patient anatomy and the gantry and couch angles. The authors investigated the angular dependence of automatic tumor localization during non‐coplanar lung SBRT delivery. Methods: All images were acquired at a frame rate of 12 Hz with an amorphous silicon EPID. A previously validated markerless lung tumor localization algorithm was employed with manual localization as the reference. From ten SBRT patients, 12 987 image frames of 123 image sequences acquired at 48 different gantry–couch rotations were analyzed. δ was defined by the position difference of the automatic and manual localization. Results: Regardless of the couch angle, the best tracking performance was found in image sequences with a gantry angle within 20° of 250° (δ = 1.40 mm). Image sequences acquired with gantry angles of 150°, 210°, and 350° also led to good tracking performances with δ = 1.77–2.00 mm. Overall, the couch angle was not correlated with the tracking results. Among all the gantry–couch combinations, image sequences acquired at (θ = 30°, ϕ = 330°), (θ = 210°, ϕ = 10°), and (θ = 250°, ϕ = 30°) led to the best tracking results with δ = 1.19–1.82 mm. The worst performing combinations were (θ = 90° and 230°, ϕ = 10°) and (θ = 270°, ϕ = 30°) with δ &gt; 3.5 mm. However, 35% (17/48) of the gantry–couch rotations demonstrated substantial variability in tracking performances between patients. For example, the field angle (θ = 70°, ϕ = 10°) was acquired for five patients. While the tracking errors were ≤1.98 mm for three patients, poor performance was found for the other two patients with δ ≥ 2.18 mm, leading to average tracking error of 2.70 mm. Only one image sequence was acquired for all other gantry–couch rotations (δ = 1.18–10.29 mm). Conclusions: Non‐coplanar beams with gantry–couch rotation of (θ = 30°, ϕ = 330°), (θ = 210°, ϕ = 10°), and (θ = 250°, ϕ = 30°) have the highest accuracy for BEV lung tumor localization. Additionally, gantry angles of 150°, 210°, 250°, and 350° also offer good tracking performance. The beam geometries (θ = 90° and 230°, ϕ = 10°) and (θ = 270°, ϕ = 30°) are associated with substantial automatic localization errors. Overall, lung tumor visibility and tracking performance were patient dependent for a substantial number of the gantry–couch angle combinations studied.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>26632035</pmid><doi>10.1118/1.4934824</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects 60 APPLIED LIFE SCIENCES
ALGORITHMS
ANATOMY
beam's‐eye‐view imaging
Biological material, e.g. blood, urine
Haemocytometers
BIOMEDICAL RADIOGRAPHY
Cancer
Carcinoma, Non-Small-Cell Lung - pathology
Carcinoma, Non-Small-Cell Lung - surgery
diagnostic radiography
Digital computing or data processing equipment or methods, specially adapted for specific applications
EPID imaging
Humans
Image data processing or generation, in general
Image guided radiation therapy
image sequences
lung
Lung - pathology
Lung - surgery
LUNGS
markerless tracking
medical image processing
Medical image quality
NEOPLASMS
non‐coplanar radiotherapy
Operating Tables
PATIENTS
Pattern Recognition, Automated
radiation therapy
Radiation Therapy Physics
Radiation treatment
Radiography
Radiosurgery - instrumentation
Radiosurgery - methods
RADIOTHERAPY
Rotation
Sequence analysis
stereotactic body radiation therapy
Surgery, Computer-Assisted - instrumentation
Surgery, Computer-Assisted - methods
Therapeutic applications
tumours
Visibility
title Beam's‐eye‐view imaging during non‐coplanar lung SBRT
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