Registration using tomographic projection files
An algorithm has been developed and experimentally verified for tomographic registration--a patient positioning method using internal anatomy and standard external fiducial marks. This algorithm improves patient set-up and verification to an accuracy sufficient for tomotherapy. By implementation of...
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Veröffentlicht in: | Physics in medicine & biology 1999-02, Vol.44 (2), p.495-507 |
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container_title | Physics in medicine & biology |
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creator | Fitchard, E E Aldridge, J S Ruchala, K Fang, G Balog, J Pearson, D W Olivera, G H Schloesser, E A Wenman, D Reckwerdt, P J Mackie, T R |
description | An algorithm has been developed and experimentally verified for tomographic registration--a patient positioning method using internal anatomy and standard external fiducial marks. This algorithm improves patient set-up and verification to an accuracy sufficient for tomotherapy. By implementation of this technique, the time-consuming reconstruction process is avoided. Instead, offsets in the x, y and z directions are determined directly from sinogram data by an algorithm that utilizes cross-correlations and Fourier transforms. To verify the efficiency and stability of the algorithm, data were collected on the University of Wisconsin's dedicated tomotherapy research workbench. The experiment indicates offset statistical errors of less than +/-0.8 mm for offsets up to 30 mm. With standard clinical techniques, initial patient offsets are expected to be less than 5 mm, so the 30 mm limitation is of no consequence. The angular resolution for the direction of patient translation is within the +/-2 degrees needed for tomotherapy. |
doi_str_mv | 10.1088/0031-9155/44/2/015 |
format | Article |
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This algorithm improves patient set-up and verification to an accuracy sufficient for tomotherapy. By implementation of this technique, the time-consuming reconstruction process is avoided. Instead, offsets in the x, y and z directions are determined directly from sinogram data by an algorithm that utilizes cross-correlations and Fourier transforms. To verify the efficiency and stability of the algorithm, data were collected on the University of Wisconsin's dedicated tomotherapy research workbench. The experiment indicates offset statistical errors of less than +/-0.8 mm for offsets up to 30 mm. With standard clinical techniques, initial patient offsets are expected to be less than 5 mm, so the 30 mm limitation is of no consequence. The angular resolution for the direction of patient translation is within the +/-2 degrees needed for tomotherapy.</description><identifier>ISSN: 0031-9155</identifier><identifier>EISSN: 1361-6560</identifier><identifier>DOI: 10.1088/0031-9155/44/2/015</identifier><identifier>PMID: 10070797</identifier><identifier>CODEN: PHMBA7</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Algorithms ; Biological and medical sciences ; Equipment Design ; Fourier Analysis ; Humans ; Medical sciences ; Miscellaneous ; Models, Theoretical ; Phantoms, Imaging ; Posture ; Radiotherapy Planning, Computer-Assisted - instrumentation ; Radiotherapy Planning, Computer-Assisted - methods ; Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) ; Reproducibility of Results ; Tomography, X-Ray Computed - instrumentation ; Tomography, X-Ray Computed - methods ; Water</subject><ispartof>Physics in medicine & biology, 1999-02, Vol.44 (2), p.495-507</ispartof><rights>1999 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c495t-90255f555ee64c032ba388d5bcef24be199c20b06113a7bb3f9fca0b86f8b1903</citedby><cites>FETCH-LOGICAL-c495t-90255f555ee64c032ba388d5bcef24be199c20b06113a7bb3f9fca0b86f8b1903</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/0031-9155/44/2/015/pdf$$EPDF$$P50$$Giop$$H</linktopdf><link.rule.ids>314,780,784,27924,27925,53830,53910</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1682521$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10070797$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fitchard, E E</creatorcontrib><creatorcontrib>Aldridge, J S</creatorcontrib><creatorcontrib>Ruchala, K</creatorcontrib><creatorcontrib>Fang, G</creatorcontrib><creatorcontrib>Balog, J</creatorcontrib><creatorcontrib>Pearson, D W</creatorcontrib><creatorcontrib>Olivera, G H</creatorcontrib><creatorcontrib>Schloesser, E A</creatorcontrib><creatorcontrib>Wenman, D</creatorcontrib><creatorcontrib>Reckwerdt, P J</creatorcontrib><creatorcontrib>Mackie, T R</creatorcontrib><title>Registration using tomographic projection files</title><title>Physics in medicine & biology</title><addtitle>Phys Med Biol</addtitle><description>An algorithm has been developed and experimentally verified for tomographic registration--a patient positioning method using internal anatomy and standard external fiducial marks. This algorithm improves patient set-up and verification to an accuracy sufficient for tomotherapy. By implementation of this technique, the time-consuming reconstruction process is avoided. Instead, offsets in the x, y and z directions are determined directly from sinogram data by an algorithm that utilizes cross-correlations and Fourier transforms. To verify the efficiency and stability of the algorithm, data were collected on the University of Wisconsin's dedicated tomotherapy research workbench. The experiment indicates offset statistical errors of less than +/-0.8 mm for offsets up to 30 mm. With standard clinical techniques, initial patient offsets are expected to be less than 5 mm, so the 30 mm limitation is of no consequence. The angular resolution for the direction of patient translation is within the +/-2 degrees needed for tomotherapy.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Equipment Design</subject><subject>Fourier Analysis</subject><subject>Humans</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Models, Theoretical</subject><subject>Phantoms, Imaging</subject><subject>Posture</subject><subject>Radiotherapy Planning, Computer-Assisted - instrumentation</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. 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This algorithm improves patient set-up and verification to an accuracy sufficient for tomotherapy. By implementation of this technique, the time-consuming reconstruction process is avoided. Instead, offsets in the x, y and z directions are determined directly from sinogram data by an algorithm that utilizes cross-correlations and Fourier transforms. To verify the efficiency and stability of the algorithm, data were collected on the University of Wisconsin's dedicated tomotherapy research workbench. The experiment indicates offset statistical errors of less than +/-0.8 mm for offsets up to 30 mm. With standard clinical techniques, initial patient offsets are expected to be less than 5 mm, so the 30 mm limitation is of no consequence. The angular resolution for the direction of patient translation is within the +/-2 degrees needed for tomotherapy.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><pmid>10070797</pmid><doi>10.1088/0031-9155/44/2/015</doi><tpages>13</tpages></addata></record> |
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subjects | Algorithms Biological and medical sciences Equipment Design Fourier Analysis Humans Medical sciences Miscellaneous Models, Theoretical Phantoms, Imaging Posture Radiotherapy Planning, Computer-Assisted - instrumentation Radiotherapy Planning, Computer-Assisted - methods Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects) Reproducibility of Results Tomography, X-Ray Computed - instrumentation Tomography, X-Ray Computed - methods Water |
title | Registration using tomographic projection files |
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