Literature DB >> 31153398

Quality assurance measurements of geometric accuracy for magnetic resonance imaging-based radiotherapy treatment planning.

Iiro Ranta1, Reko Kemppainen2, Jani Keyriläinen3, Sami Suilamo4, Samuli Heikkinen5, Mika Kapanen6, Jani Saunavaara5.   

Abstract

BACKGROUND: Using magnetic resonance imaging (MRI) as the only imaging method for radiotherapy treatment planning (RTP) is becoming more common as MRI-only RTP solutions have evolved. The geometric accuracy of MR images is an essential factor of image quality when determining the suitability of MRI for RTP. The need is therefore clear for clinically feasible quality assurance (QA) methods for the geometric accuracy measurement.
MATERIALS AND METHODS: This work evaluates long-term stability of geometric accuracy and the validity of a 2D geometric accuracy QA method compared to a prototype 3D method and analysis software in routine QA. The long-term follow-up measurements were conducted on one of the 1.5 T scanners over a period of 19 months using both methods. Inter-scanner variability of geometric distortions was also evaluated in three 1.5 T and three 3 T MRI scanners from a single vendor by using the prototype 3D QA method.
RESULTS: The geometric accuracy of the magnetic resonance for radiotherapy (MR-RT) platform remained stable within 2 mm at distances of <250 mm from isocenter. All scanners achieved good geometric accuracy with mean geometric distortions of <1 mm at <150 mm and <2 mm at <250 mm from the isocenter. Both measurement methods provided relevant information about geometric distortions.
CONCLUSIONS: Geometric distortions are often considered a limitation of MRI-only RTP. Results indicate that geometric accuracy of modern scanners remain within acceptable limits by default even after many years of clinical use based on the 3D QA evaluation.
Copyright © 2019 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Geometric distortion; MRI-only radiotherapy planning; Magnetic resonance imaging; Radiotherapy

Mesh:

Year:  2019        PMID: 31153398     DOI: 10.1016/j.ejmp.2019.04.022

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  6 in total

1.  Audit feasibility for geometric distortion in magnetic resonance imaging for radiotherapy.

Authors:  Meshal Alzahrani; David A Broadbent; Robert Chuter; Bashar Al-Qaisieh; Steven Jackson; Hutton Michael; Robert I Johnstone; Simon Shah; Andreas Wetscherek; H Joan Chick; Jonathan J Wyatt; Hazel Mhairi McCallum; Richard Speight
Journal:  Phys Imaging Radiat Oncol       Date:  2020-07

2.  Developing quality assurance tests for simultaneous Positron Emission Tomography - Magnetic Resonance imaging for radiotherapy planning.

Authors:  Jonathan J Wyatt; Hazel M McCallum; Ross J Maxwell
Journal:  Phys Imaging Radiat Oncol       Date:  2022-04-20

3.  Measuring geometric accuracy in magnetic resonance imaging with 3D-printed phantom and nonrigid image registration.

Authors:  Katri Nousiainen; Teemu Mäkelä
Journal:  MAGMA       Date:  2019-10-23       Impact factor: 2.310

4.  Determination of acceptance criteria for geometric accuracy of magnetic resonance imaging scanners used in radiotherapy planning.

Authors:  Henna Kavaluus; Katri Nousiainen; Sampsa Kaijaluoto; Tiina Seppälä; Kauko Saarilahti; Mikko Tenhunen
Journal:  Phys Imaging Radiat Oncol       Date:  2021-01-25

5.  Validation of the dosimetric and geometric accuracy of MR-only treatment planning solution for prostate cancer radiotherapy.

Authors:  Michał Posiewnik; Tomasz Piotrowski
Journal:  Contemp Oncol (Pozn)       Date:  2022-01-05

6.  Clinical experience and cost evaluation of magnetic resonance imaging -only workflow in radiation therapy planning of prostate cancer.

Authors:  Jani Keyriläinen; Olli Sjöblom; Sonja Turnbull-Smith; Taru Hovirinta; Heikki Minn
Journal:  Phys Imaging Radiat Oncol       Date:  2021-07-17
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.