Literature DB >> 25061776

MR simulation for prostate radiation therapy: effect of coil mounting position on image quality.

J Sun1, P Pichler, J Dowling, F Menk, P Stanwell, J Arm, P B Greer.   

Abstract

OBJECTIVE: To eliminate the effects of body deformation for MR-based prostate treatment planning, coil mounts are essential. In this study, we evaluated the effect of the coil set-up on image quality.
METHODS: A custom-designed pelvic-shaped phantom was scanned by systematically increasing the anterior body-to-coil (BTC) distance from 30 to 90 mm. The image quality near the organs of interest was determined in order to characterize the relationship between image quality and BTC distance at the critical organ structures. The half intensity reduction (HIR) was calculated to determine the sensitivity of each organ structure to the BTC distance change.
RESULTS: As the BTC distance increased, the uniformity reduced at 3% per millimetre. The HIR value indicated that the bladder signal is most sensitive to the change in BTC distance. By maintaining a constant BTC distance set-up, the intensity uniformity was improved by 28% along the B0 directions.
CONCLUSION: Positioning the MRI coil on mounts can reduce body deformation but adversely degrades the image quality. The magnitude of this effect has been quantified for prostate MR simulation scanning. The coil needs to be positioned not only with a minimal but also uniform BTC distance in order to maximize image quality. ADVANCES IN KNOWLEDGE: A method to characterize the effect on image quality due to the use of coil mounts was demonstrated. Coil mounts whose height can be adjusted individually to keep BTC distance constant are necessary to maintain a uniform image across the entire field of view.

Mesh:

Year:  2014        PMID: 25061776      PMCID: PMC4170866          DOI: 10.1259/bjr.20140325

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


  14 in total

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2.  A novel phantom and method for comprehensive 3-dimensional measurement and correction of geometric distortion in magnetic resonance imaging.

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4.  Assessing the image quality of pelvic MR images acquired with a flat couch for radiotherapy treatment planning.

Authors:  M McJury; A O'Neill; M Lawson; C McGrath; A Grey; W Page; J M O'Sullivan
Journal:  Br J Radiol       Date:  2011-08       Impact factor: 3.039

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Authors:  Jan J W Lagendijk; Bas W Raaymakers; Alexander J E Raaijmakers; Johan Overweg; Kevin J Brown; Ellen M Kerkhof; Richard W van der Put; Björn Hårdemark; Marco van Vulpen; Uulke A van der Heide
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6.  A magnetic resonance imaging-based workflow for planning radiation therapy for prostate cancer.

Authors:  Peter B Greer; Jason A Dowling; Jonathon A Lambert; Jurgen Fripp; Joel Parker; James W Denham; Chris Wratten; Anne Capp; Olivier Salvado
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Review 7.  Magnetic resonance imaging (MRI): considerations and applications in radiotherapy treatment planning.

Authors:  V S Khoo; D P Dearnaley; D J Finnigan; A Padhani; S F Tanner; M O Leach
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8.  Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions.

Authors:  Joakim H Jonsson; Magnus G Karlsson; Mikael Karlsson; Tufve Nyholm
Journal:  Radiat Oncol       Date:  2010-06-30       Impact factor: 3.481

9.  MRI-guided prostate radiation therapy planning: Investigation of dosimetric accuracy of MRI-based dose planning.

Authors:  Jonathan Lambert; Peter B Greer; Fred Menk; Jackie Patterson; Joel Parker; Kara Dahl; Sanjiv Gupta; Anne Capp; Chris Wratten; Colin Tang; Mahesh Kumar; Jason Dowling; Sarah Hauville; Cynthia Hughes; Kristen Fisher; Peter Lau; James W Denham; Olivier Salvado
Journal:  Radiother Oncol       Date:  2011-02-19       Impact factor: 6.280

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  2 in total

1.  Investigation on the performance of dedicated radiotherapy positioning devices for MR scanning for prostate planning.

Authors:  Jidi Sun; Jason A Dowling; Peter Pichler; Joel Parker; Jarad Martin; Peter Stanwell; Jameen Arm; Fred Menk; Peter B Greer
Journal:  J Appl Clin Med Phys       Date:  2015-03-08       Impact factor: 2.102

2.  Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.

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