Metal artifact correction strategies in MRI-based attenuation correction in PET/MRI

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Abstract

In hybrid positron emission tomography (PET) and MRI systems, attenuation correction for PET image reconstruction is commonly based on processing of dedicated MR images. The image quality of the latter is strongly affected by metallic objects inside the body, such as e.g. dental implants, endoprostheses, or surgical clips which all lead to substantial artifacts that propagate into MRI-based attenuation images. In this work, we review publications about metal artifact correction strategies in MRI-based attenuation correction in PET/MRI. Moreover, we also give an overview about publications investigating the impact of MRI-based attenuation correction metal artifacts on the reconstructed PET image quality and quantification.

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Most cited references 83

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MR-based synthetic CT generation using a deep convolutional neural network method.

Xiao Han (2017)

Interests have been rapidly growing in the field of radiotherapy to replace CT with magnetic resonance imaging (MRI), due to superior soft tissue contrast offered by MRI and the desire to reduce unnecessary radiation dose. MR-only radiotherapy also simplifies clinical workflow and avoids uncertainties in aligning MR with CT. Methods, however, are needed to derive CT-equivalent representations, often known as synthetic CT (sCT), from patient MR images for dose calculation and DRR-based patient positioning. Synthetic CT estimation is also important for PET attenuation correction in hybrid PET-MR systems. We propose in this work a novel deep convolutional neural network (DCNN) method for sCT generation and evaluate its performance on a set of brain tumor patient images.

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Joint EANM/EANO/RANO practice guidelines/SNMMI procedure standards for imaging of gliomas using PET with radiolabelled amino acids and [ 18 F]FDG: version 1.0

Ian Law, Nathalie L. Albert, Javier Arbizu … (2018)

These joint practice guidelines, or procedure standards, were developed collaboratively by the European Association of Nuclear Medicine (EANM), the Society of Nuclear Medicine and Molecular Imaging (SNMMI), the European Association of Neurooncology (EANO), and the working group for Response Assessment in Neurooncology with PET (PET-RANO). Brain PET imaging is being increasingly used to supplement MRI in the clinical management of glioma. The aim of these standards/guidelines is to assist nuclear medicine practitioners in recommending, performing, interpreting and reporting the results of brain PET imaging in patients with glioma to achieve a high-quality imaging standard for PET using FDG and the radiolabelled amino acids MET, FET and FDOPA. This will help promote the appropriate use of PET imaging and contribute to evidence-based medicine that may improve the diagnostic impact of this technique in neurooncological practice. The present document replaces a former version of the guidelines published in 2006 (Vander Borght et al. Eur J Nucl Med Mol Imaging. 33:1374–80, 2006), and supplements a recent evidence-based recommendation by the PET-RANO working group and EANO on the clinical use of PET imaging in patients with glioma (Albert et al. Neuro Oncol. 18:1199–208, 2016). The information provided should be taken in the context of local conditions and regulations.

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Metal-induced artifacts in MRI.

Brian Hargreaves, Pauline Worters, Kim Pauly … (2011)

The purpose of this article is to review some of the basic principles of imaging and how metal-induced susceptibility artifacts originate in MR images. We will describe common ways to reduce or modify artifacts using readily available imaging techniques, and we will discuss some advanced methods to correct readout-direction and slice-direction artifacts. The presence of metallic implants in MRI can cause substantial image artifacts, including signal loss, failure of fat suppression, geometric distortion, and bright pile-up artifacts. These cause large resonant frequency changes and failure of many MRI mechanisms. Careful parameter and pulse sequence selections can avoid or reduce artifacts, although more advanced imaging methods offer further imaging improvements.

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Author and article information

Contributors

Georg Schramm:

ORCID: http://orcid.org/0000-0002-2251-3195

Claes Nøhr Ladefoged

Journal

Journal ID (nlm-ta): BJR Open

Journal ID (iso-abbrev): BJR Open

Journal ID (publisher-id): bjro

Title: BJR Open

Publisher: The British Institute of Radiology.

ISSN (Electronic): 2513-9878

Publication date Collection: 2019

Publication date (Electronic): 14 November 2019

Volume: 1

Issue: 1

Electronic Location Identifier: 20190033

Affiliations

[1 ] org-divisionDepartment of Imaging and Pathology, Division of Nuclear Medicine, KU/UZ Leuven , Leuven, Belgium

[2 ] org-divisionDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet , Copenhagen, Denmark

Author notes

Address correspondence to: Dr Georg Schramm. E-mail: georg.schramm@ 123456kuleuven.be

Author information

Georg Schramm http://orcid.org/0000-0002-2251-3195

Article

Publisher-manuscript ID: BJRO-D-19-00033

DOI: 10.1259/bjro.20190033

PMC ID: 7592486

PubMed ID: 33178954

SO-VID: cf5e09f0-2056-48f8-bb3f-c6359ec2a53b

License:

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

History

Date received : 24 July 2019

Date revision received : 27 September 2019

Date accepted : 20 October 2019

Page count

Figures: 9, Tables: 0, Equations: 4, References: 84, Pages: 0, Words: 11748

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Metal artifact correction strategies in MRI-based attenuation correction in PET/MRI

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Most cited references 83

MR-based synthetic CT generation using a deep convolutional neural network method.

Joint EANM/EANO/RANO practice guidelines/SNMMI procedure standards for imaging of gliomas using PET with radiolabelled amino acids and [ 18 F]FDG: version 1.0

Metal-induced artifacts in MRI.

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