| Computed tomography-magnetic resonance image registration in radiotherapy treatment planning. | |
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MedLine Citation:
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PMID: 20674300 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Magnetic resonance imaging (MRI) is being increasingly used in radiotherapy treatment planning (RTP). MRI has the potential to provide improved localisation of target volumes, leading to better tumour control rates and reduced normal tissue complications, due to capabilities including excellent soft-tissue discrimination and the ability to provide scans in which the image contrast is weighted according to different tissue properties. When computed tomography (CT)-MRI image registration is deployed, MR's advantages are combined with CT's geometrical security and its ability to provide electron density information. The quality of CT-MRI image registration can be favourably influenced by aspects of scan acquisition, including patient positioning/immobilisation and scan protocols. Appropriate protocols can ameliorate the possible presence of MR spatial distortions and other artefacts, but quality assurance of scanning remains essential. Here, the methods and quality assurance of CT-MR image registration are discussed. Developments in MRI scanner technology are progressively offering advantages for RTP, in terms of the possibility of better matching of patient positioning versus CT in a greater range of anatomical regions, while allowing thinner slices for better image quality in reformatted orthogonal planes. |
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Authors:
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J N H Brunt |
Publication Detail:
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Type: Journal Article; Review Date: 2010-07-31 |
Journal Detail:
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Title: Clinical oncology (Royal College of Radiologists (Great Britain)) Volume: 22 ISSN: 1433-2981 ISO Abbreviation: Clin Oncol (R Coll Radiol) Publication Date: 2010 Oct |
Date Detail:
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Created Date: 2010-09-06 Completed Date: 2010-12-15 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9002902 Medline TA: Clin Oncol (R Coll Radiol) Country: England |
Other Details:
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Languages: eng Pagination: 688-97 Citation Subset: IM |
Copyright Information:
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Copyright 2010 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved. |
Affiliation:
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Physics Department, Clatterbridge Centre for Oncology NHS Trust, Wirral, Merseyside, UK. John.Brunt@ccotrust.nhs.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Humans Image Processing, Computer-Assisted / methods* Magnetic Resonance Imaging / methods* Patient Positioning Radiographic Image Enhancement Radiotherapy Planning, Computer-Assisted / methods* Tomography, X-Ray Computed / methods* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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