Literature DB >> 21767198

MRI quality assurance using the ACR phantom in a multi-unit imaging center.

Toni M Ihalainen1, Nadja T Lönnroth, Juha I Peltonen, Jouni K Uusi-Simola, Marjut H Timonen, Linda J Kuusela, Sauli E Savolainen, Outi E Sipilä.   

Abstract

BACKGROUND: Magnetic resonance imaging (MRI) instrumentation is vulnerable to technical and image quality problems, and quality assurance is essential. In the studied regional imaging center the long-term quality assurance has been based on MagNET phantom measurements. American College of Radiology (ACR) has an accreditation program including a standardized image quality measurement protocol and phantom. The ACR protocol includes recommended acceptance criteria for clinical sequences and thus provides possibility to assess the clinical relevance of quality assurance. The purpose of this study was to test the ACR MRI phantom in quality assurance of a multi-unit imaging center.
MATERIAL AND METHODS: The imaging center operates 11 MRI systems of three major manufacturers with field strengths of 3.0 T, 1.5 T and 1.0 T. Images of the ACR phantom were acquired using a head coil following the ACR scanning instructions. Both ACR T1- and T2-weighted sequences as well as T1- and T2-weighted brain sequences in clinical use at each site were acquired. Measurements were performed twice. The images were analyzed and the results were compared with the ACR acceptance levels.
RESULTS: The acquisition procedure with the ACR phantom was faster than with the MagNET phantoms. On the first and second measurement rounds 91% and 73% of the systems passed the ACR test. Measured slice thickness accuracies were not within the acceptance limits in site T2 sequences. Differences in the high contrast spatial resolution between the ACR and the site sequences were observed. In 3.0 T systems the image intensity uniformity was slightly lower than the ACR acceptance limit.
CONCLUSION: The ACR method was feasible in quality assurance of a multi-unit imaging center and the ACR protocol could replace the MagNET phantom tests. An automatic analysis of the images will further improve cost-effectiveness and objectiveness of the ACR protocol.

Mesh:

Year:  2011        PMID: 21767198     DOI: 10.3109/0284186X.2011.582515

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  16 in total

1.  An Automatic Image Processing Workflow for Daily Magnetic Resonance Imaging Quality Assurance.

Authors:  Juha I Peltonen; Teemu Mäkelä; Alexey Sofiev; Eero Salli
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

2.  Image quality assessment of a 1.5T dedicated magnetic resonance-simulator for radiotherapy with a flexible radio frequency coil setting using the standard American College of Radiology magnetic resonance imaging phantom test.

Authors:  Oi Lei Wong; Jing Yuan; Siu Ki Yu; Kin Yin Cheung
Journal:  Quant Imaging Med Surg       Date:  2017-04

3.  Wide slab is useful for routine quality control of MRI slice thickness.

Authors:  Yoshiyuki Ishimori; Masahiko Monma; Hiraku Kawamura
Journal:  Radiol Phys Technol       Date:  2018-06-19

4.  Lower patient-reported function at 2 years is associated with elevated knee cartilage T1rho and T2 relaxation times at 5 years in young athletes after ACL reconstruction.

Authors:  Matthew P Ithurburn; Andrew M Zbojniewicz; Staci Thomas; Kevin D Evans; Michael L Pennell; Robert A Magnussen; Mark V Paterno; Laura C Schmitt
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2018-11-16       Impact factor: 4.342

5.  A thermally polarized 129 Xe phantom for quality assurance in multi-center hyperpolarized gas MRI studies.

Authors:  Elianna A Bier; John C Nouls; Ziyi Wang; Mu He; Geoff Schrank; Naomi Morales-Medina; Ralph Hashoian; Harvey Svetlik; John P Mugler; Bastiaan Driehuys
Journal:  Magn Reson Med       Date:  2019-06-19       Impact factor: 4.668

Review 6.  Quantitative imaging techniques for the assessment of osteoporosis and sarcopenia.

Authors:  Sara Guerri; Daniele Mercatelli; Maria Pilar Aparisi Gómez; Alessandro Napoli; Giuseppe Battista; Giuseppe Guglielmi; Alberto Bazzocchi
Journal:  Quant Imaging Med Surg       Date:  2018-02

7.  Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network.

Authors:  Anna Nigri; Stefania Ferraro; Claudia A M Gandini Wheeler-Kingshott; Michela Tosetti; Alberto Redolfi; Gianluigi Forloni; Egidio D'Angelo; Domenico Aquino; Laura Biagi; Paolo Bosco; Irene Carne; Silvia De Francesco; Greta Demichelis; Ruben Gianeri; Maria Marcella Lagana; Edoardo Micotti; Antonio Napolitano; Fulvia Palesi; Alice Pirastru; Giovanni Savini; Elisa Alberici; Carmelo Amato; Filippo Arrigoni; Francesca Baglio; Marco Bozzali; Antonella Castellano; Carlo Cavaliere; Valeria Elisa Contarino; Giulio Ferrazzi; Simona Gaudino; Silvia Marino; Vittorio Manzo; Luigi Pavone; Letterio S Politi; Luca Roccatagliata; Elisa Rognone; Andrea Rossi; Caterina Tonon; Raffaele Lodi; Fabrizio Tagliavini; Maria Grazia Bruzzone
Journal:  Front Neurol       Date:  2022-04-14       Impact factor: 4.086

8.  Characterization of a 0.35T MR system for phantom image quality stability and in vivo assessment of motion quantification.

Authors:  Daniel L Saenz; Yue Yan; Neil Christensen; Margaret A Henzler; Lisa J Forrest; John E Bayouth; Bhudatt R Paliwal
Journal:  J Appl Clin Med Phys       Date:  2015-11-08       Impact factor: 2.102

9.  MRI phantoms - are there alternatives to agar?

Authors:  Alexandra Hellerbach; Verena Schuster; Andreas Jansen; Jens Sommer
Journal:  PLoS One       Date:  2013-08-05       Impact factor: 3.240

10.  MRI-Related Geometric Distortions in Stereotactic Radiotherapy Treatment Planning: Evaluation and Dosimetric Impact.

Authors:  Eleftherios P Pappas; Mukhtar Alshanqity; Argyris Moutsatsos; Hani Lababidi; Khalid Alsafi; Konstantinos Georgiou; Pantelis Karaiskos; Evangelos Georgiou
Journal:  Technol Cancer Res Treat       Date:  2017-10-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.