Literature DB >> 9659135

An image registration scheme applied to verification of radiation therapy.

K W Leszczynski1, S Loose, S Boyko.   

Abstract

The introduction of modern conformal radiation therapy techniques requires high geometric precision in treatment delivery which must be verified. For that purpose we have developed an automated system based on registration of portal and simulation (or planning) image pairs. The image registration is performed on anatomical features which are automatically extracted from the portal image. The portal image is then registered with a planning or simulation radiographic image which represents the geometric prescription for the treatment, using an optimized version of the chamfer matching algorithm. Subsequently, the magnitude of the radiation field displacement during treatment is measured by registering the prescribed and treated field boundaries. Algorithms based on chamfer matching and polygon matching have been used for the field boundary registration. Performance of the entire scheme was evaluated on a series of 15 portal images of a pelvic phantom representing various known degrees of the radiation field displacement. The measurements of the radiation field displacements performed by the automated system proved very reliable and after correction for systematic bias agreed to within 1.5 mm or 1 degree with the displacements applied. Second test series involved comparisons between the automated registrations and those performed manually/visually by an experienced human observer, on 31 portal images acquired during treatments of 18 pelvic patients. These tests showed close agreement (in 80% of cases discrepancies were smaller than 1.5 mm or 1.5 degrees) between the automated scheme and the human observer. It is concluded that the developed scheme would be suitable for online geometric verification of radiation therapy treatments.

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Year:  1998        PMID: 9659135     DOI: 10.1259/bjr.71.844.9659135

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  7 in total

1.  Automated 2D-3D registration of a radiograph and a cone beam CT using line-segment enhancement.

Authors:  Reshma Munbodh; David A Jaffray; Douglas J Moseley; Zhe Chen; Jonathan P S Knisely; Pascal Cathier; James S Duncan
Journal:  Med Phys       Date:  2006-05       Impact factor: 4.071

2.  A frequency-based approach to locate common structure for 2D-3D intensity-based registration of setup images in prostate radiotherapy.

Authors:  Reshma Munbodh; Zhe Chen; David A Jaffray; Douglas J Moseley; Jonathan P S Knisely; James S Duncan
Journal:  Med Phys       Date:  2007-07       Impact factor: 4.071

3.  Automated 2D-3D registration of portal images and CT data using line-segment enhancement.

Authors:  Reshma Munbodh; Zhe Chen; David A Jaffray; Douglas J Moseley; Jonathan P S Knisely; James S Duncan
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

4.  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

5.  Accuracy of an automatic patient-positioning system based on the correlation of two edge images in radiotherapy.

Authors:  Myonggeun Yoon; Minho Cheong; Jinsung Kim; Dong Ho Shin; Sung Yong Park; Se Byeong Lee
Journal:  J Digit Imaging       Date:  2010-02-02       Impact factor: 4.056

6.  Guide to clinical use of electronic portal imaging.

Authors:  M G Herman; J J Kruse; C R Hagness
Journal:  J Appl Clin Med Phys       Date:  2000       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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