Literature DB >> 8350818

Automatic on-line inspection of patient setup in radiation therapy using digital portal images.

K G Gilhuijs1, M van Herk.   

Abstract

A new method is presented for inspection of patient setup in radiation therapy by automatic comparison of the patient position relative to the beam position in portal and simulator images. Quantification of patient-setup errors in terms of translation, rotation, and magnification is achieved by chamfer matching, a robust technique to match drawings and images, which is applied to both anatomy outlines and field edges. Applied to field edges, chamfer matching detects and visualizes deviations in field shape. Applied to anatomy outlines, the matching procedure quantifies and visualizes deviations in patient position relative to the radiation field. To test the method and to judge its feasibility, its behavior for four hundred different patient-setup deviations, which were simulated in four clinical images, was examined. These images show a top view of the pelvic region. The performance was measured in terms of accuracy and success rate for numerous cost functions and distance codings associated with the chamfer matching procedure. An average accuracy of 1.8 mm was found, a success rate of 90%, and an average overall computation time of 3 s on a 486 microcomputer. The whole analysis procedure is fast enough to allow on-line application.

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Year:  1993        PMID: 8350818     DOI: 10.1118/1.597016

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  7 in total

1.  Quality assurance for kilo- and megavoltage in-room imaging and localization for off- and online setup error correction.

Authors:  James M Balter; Larry E Antonuk
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008       Impact factor: 7.038

2.  A gradient feature weighted Minimax algorithm for registration of multiple portal images to 3DCT volumes in prostate radiotherapy.

Authors:  Sudhakar Chelikani; Kailasnath Purushothaman; Jonathan Knisely; Zhe Chen; Ravinder Nath; Ravi Bansal; James Duncan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-06-01       Impact factor: 7.038

3.  On-line adaptive radiation therapy: feasibility and clinical study.

Authors:  Taoran Li; Xiaofeng Zhu; Danthai Thongphiew; W Robert Lee; Zeljko Vujaskovic; Qiuwen Wu; Fang-Fang Yin; Q Jackie Wu
Journal:  J Oncol       Date:  2010-11-22       Impact factor: 4.375

4.  Automatic x-ray image contrast enhancement based on parameter auto-optimization.

Authors:  Jianfeng Qiu; H Harold Li; Tiezhi Zhang; Fangfang Ma; Deshan Yang
Journal:  J Appl Clin Med Phys       Date:  2017-09-06       Impact factor: 2.102

5.  An open-source software for monitoring intrafraction motion during external beam radiation therapy based on superimposition of contours of projected ROIs on cine-MV images.

Authors:  Rémi Lessard; Nicolas M Tremblay; Marc-Émile Plourde; Mathieu Guillot
Journal:  J Appl Clin Med Phys       Date:  2020-06-07       Impact factor: 2.102

6.  A comparison of computer-controlled versus manual on-line patient setup adjustment.

Authors:  Kristy K Brock; Daniel L McShan; James M Balter
Journal:  J Appl Clin Med Phys       Date:  2002       Impact factor: 2.102

7.  Edge detection of the radiation field in double exposure portal images using a curve propagation algorithm.

Authors:  Patricia Lasserre; Bryce Cutt; James Moffat
Journal:  J Appl Clin Med Phys       Date:  2008-07-02       Impact factor: 2.102

  7 in total

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