Literature DB >> 29862522

Technical Note: Adapting a GE SIGNA PET/MR scanner for radiotherapy.

Patrik Brynolfsson1, Jan Axelsson1, August Holmberg1, Joakim H Jonsson1, David Goldhaber2, Yiqiang Jian2, Fredrik Illerstam2, Mathias Engström2, Björn Zackrisson1, Tufve Nyholm1.   

Abstract

PURPOSE: Simultaneous collection of PET and MR data for radiotherapy purposes are useful for, for example, target definition and dose escalations. However, a prerequisite for using PET/MR in the radiotherapy workflow is the ability to image the patient in treatment position. The aim of this work was to adapt a GE SIGNA PET/MR scanner to image patients for radiotherapy treatment planning and evaluate the impact on signal-to-noise (SNR) of the MR images, and the accuracy of the PET attenuation correction.
METHOD: A flat tabletop and a coil holder were developed to image patients in the treatment position, avoid patient contour deformation, and facilitate attenuation correction of flex coils. Attenuation corrections for the developed hardware and an anterior array flex coil were also measured and implemented to the PET/MR system to minimize PET quantitation errors. The reduction of SNR in the MR images due to the added distance between the coils and the patient was evaluated using a large homogenous saline-doped water phantom, and the activity quantitation errors in PET imaging were evaluated with and without the developed attenuation corrections. RESULT: We showed that the activity quantitation errors in PET imaging were within ±5% when correcting for attenuation of the flat tabletop, coil holder, and flex coil. The SNR of the MRI images were reduced to 74% using the tabletop, and 66% using the tabletop and coil holders.
CONCLUSION: We present a tabletop and coil holder for an anterior array coil to be used with a GE SIGNA PET/MR scanner, for scanning patients in the radiotherapy work flow. Implementing attenuation correction of the added hardware from the radiotherapy setup leads to acceptable PET image quantitation. The drop in SNR in MR images may require adjustment of the imaging protocols.
© 2018 The Authors. Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.

Entities:  

Keywords:  zzm321990MRIzzm321990; zzm321990PETzzm321990; PET/MR; quality assurance; radiotherapy

Year:  2018        PMID: 29862522     DOI: 10.1002/mp.13032

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

1.  Sensitivity analysis of different quality assurance methods for magnetic resonance imaging in radiotherapy.

Authors:  Mary Adjeiwaah; Anders Garpebring; Tufve Nyholm
Journal:  Phys Imaging Radiat Oncol       Date:  2020-03-13

2.  Evaluation of the radiofrequency performance of a wide-bore 1.5 T positron emission tomography/magnetic resonance imaging body coil for radiotherapy planning.

Authors:  Woutjan Branderhorst; Bart R Steensma; Casper Beijst; Erik R Huijing; Cezar Alborahal; Edwin Versteeg; Bjoern Weissler; David Schug; Pierre Gebhardt; Nicolas Gross-Weege; Florian Mueller; Karl Krueger; Thomas Dey; Harald Radermacher; Oliver Lips; Jan Lagendijk; Volkmar Schulz; Hugo W A M de Jong; Dennis W J Klomp
Journal:  Phys Imaging Radiat Oncol       Date:  2020-12-23

3.  Robustness and Generalizability of Deep Learning Synthetic Computed Tomography for Positron Emission Tomography/Magnetic Resonance Imaging-Based Radiation Therapy Planning of Patients With Head and Neck Cancer.

Authors:  Anders B Olin; Christopher Thomas; Adam E Hansen; Jacob H Rasmussen; Georgios Krokos; Teresa Guerrero Urbano; Andriana Michaelidou; Björn Jakoby; Claes N Ladefoged; Anne K Berthelsen; Katrin Håkansson; Ivan R Vogelius; Lena Specht; Sally F Barrington; Flemming L Andersen; Barbara M Fischer
Journal:  Adv Radiat Oncol       Date:  2021-07-26

4.  PET Image Quality Improvement for Simultaneous PET/MRI with a Lightweight MRI Surface Coil.

Authors:  Timothy W Deller; Nicholas K Mathew; Samuel A Hurley; Chad M Bobb; Alan B McMillan
Journal:  Radiology       Date:  2020-11-03       Impact factor: 11.105

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.