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Feuerriegel GC, Sutter R. Managing hardware-related metal artifacts in MRI: current and evolving techniques. Skeletal Radiol 2024; 53:1737-1750. [PMID: 38381196 PMCID: PMC11303499 DOI: 10.1007/s00256-024-04624-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 02/11/2024] [Accepted: 02/12/2024] [Indexed: 02/22/2024]
Abstract
Magnetic resonance imaging (MRI) around metal implants has been challenging due to magnetic susceptibility differences between metal implants and adjacent tissues, resulting in image signal loss, geometric distortion, and loss of fat suppression. These artifacts can compromise the diagnostic accuracy and the evaluation of surrounding anatomical structures. As the prevalence of total joint replacements continues to increase in our aging society, there is a need for proper radiological assessment of tissues around metal implants to aid clinical decision-making in the management of post-operative complaints and complications. Various techniques for reducing metal artifacts in musculoskeletal imaging have been explored in recent years. One approach focuses on improving hardware components. High-density multi-channel radiofrequency (RF) coils, parallel imaging techniques, and gradient warping correction enable signal enhancement, image acquisition acceleration, and geometric distortion minimization. In addition, the use of susceptibility-matched implants and low-field MRI helps to reduce magnetic susceptibility differences. The second approach focuses on metal artifact reduction sequences such as view-angle tilting (VAT) and slice-encoding for metal artifact correction (SEMAC). Iterative reconstruction algorithms, deep learning approaches, and post-processing techniques are used to estimate and correct artifact-related errors in reconstructed images. This article reviews recent developments in clinically applicable metal artifact reduction techniques as well as advances in MR hardware. The review provides a better understanding of the basic principles and techniques, as well as an awareness of their limitations, allowing for a more reasoned application of these methods in clinical settings.
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Affiliation(s)
- Georg C Feuerriegel
- Department of Radiology, Balgrist University Hospital, Faculty of Medicine, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
| | - Reto Sutter
- Department of Radiology, Balgrist University Hospital, Faculty of Medicine, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland
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India ink artifact on Dixon out-of-phase images can be used as a landmark to measure joint space width at MRI. Diagn Interv Imaging 2021; 103:87-96. [PMID: 34666946 DOI: 10.1016/j.diii.2021.09.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 11/23/2022]
Abstract
PURPOSE The purpose of this study was to test the feasibility of joint space width (JSW) measurement on Dixon MR images with the "India ink" artifact between cartilage and bone marrow as a landmark for the subchondral plate and to correlate it with radiographic JSW. MATERIALS AND METHODS Both hands of six volunteers (three women, three men; mean age, 36.7 ± 10.4 [SD] years) and 24 patients with early rheumatoid arthritis (16 women, 8 men; mean age, 45.7 ± 14.5 [SD] years) were imaged with MRI Dixon sequences and radiographs. Two radiologists (R1, R2) separately measured JSW in 11 joints per hand on all Dixon images in volunteers, on contrast-enhanced T1-weighted out-of-phase images in patients and on radiographs in both groups. Inter-technique, intra-observer and inter-observer agreements were assessed using intraclass correlation coefficient (ICC) and Bland Altman analysis. RESULTS In volunteers, agreement between JSW measurements on MRI and radiographs was the highest with T1-weighted Dixon out-of-phase images (mean ICC ranging from 0.69 to 0.76 for R1 and 0.65 to 0.74 for R2). In patients, median bias between JSW measurements at first and second readings was not statistically significantly different from 0 on T1-weighted Dixon out-of-phase images (mean bias of 0.00 and + 0.01 mm) and radiographs (mean bias of 0.00 and +0.01 mm). Median bias of the difference between measurements of R1 and R2 was statistically significantly different from 0 on T1-weighted Dixon out-of-phase images (mean bias of -0.11 and -0.09 mm; P < 0.039) and radiographs (mean bias of -0.24 and -0.20 mm; P < 0.035). CONCLUSION Measurement of hand JSW on T1-weighted Dixon out-of-phase images using India ink artifact as a landmark for the subchondral plate is repeatable and reproducible.
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Cobianchi Bellisari F, Bruno F, Monti R, Cicerone C, Palumbo P, Arrigoni F, Mariani S, Gianneramo C, Mangoni di S Stefano ML, Carbone M, Gentili F, Mazzei MA, Masciocchi C, Barile A. Diagnostic performance of DIXON sequences on low-field scanner for the evaluation of knee joint pathology. ACTA BIO-MEDICA : ATENEI PARMENSIS 2021; 92:e2021403. [PMID: 34505845 PMCID: PMC8477066 DOI: 10.23750/abm.v92is5.11870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 07/28/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND AIM Recently, there has been a growing interest in the use of Dixon sequence for knee MRI in order to save time spent on the scanner, and improving diagnostic utility. Our purpose was to compare the diagnostic performance of Dixon sequence on low-field MRI with the proton-density sequence on high-field MRI. METHODS This prospective study included 40 patients who underwent 0.25T knee MRI, using the routine protocol with the addition of a sagittal 4-point Dixon sequence (SPED), and an additional sequence on 1.5T scanner, consisting in a fat-suppressed proton-density fast-spin-echo (FS PD-FSE). Two radiologists independently examined the images, evaluating the anatomic identification score and diagnostic performances of the two sequences. Interreader agreement was evaluated using an intraclass correlation coefficient (ICC). RESULTS Final population counted 34 patients (36 knee MR images) with a mean age of 52.9 years (range, 18-75 years). Interreader agreement was very high except for cartilage injuries at medial femoral condyle and medial tibial plateau (ICC SPED: 0.757, ICC FS PD-FSE: 0.746), even if not statistically significant. There were no significant differences in mean signal-to-noise ratio (SNR), artifacts presence and diagnostic confidence between SPED and PD-FS sequence. CONCLUSIONS Dixon sequences on low-field scanner have a comparable diagnostic accuracy to PD-FS sequence obtained on a high field scanner for knee MR imaging. (www.actabiomedica.it).
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Affiliation(s)
| | - Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy and Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122, Milan, Italy .
| | - Riccardo Monti
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy .
| | - Claudia Cicerone
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy .
| | - Pierpaolo Palumbo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy and Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, via della Signora 2, 20122, Milan, Italy .
| | - Francesco Arrigoni
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Silvia Mariani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Camilla Gianneramo
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | | | - Mattia Carbone
- Department of Radiology, San Giovanni E Ruggi D'Aragona Hospital, Ospedale, Via San Leonardo, Salerno, Italy.
| | - Francesco Gentili
- Section of Radiology, Unit of Surgical Sciences, University of Parma, Parma, Italy.
| | - Maria Antonietta Mazzei
- Department of Medical, Surgical and Neuro Sciences, University of Siena, Department of Radiological Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy .
| | - Carlo Masciocchi
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy .
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Two-point Dixon fat-water swapping artifact: lesion mimicker at musculoskeletal T2-weighted MRI. Skeletal Radiol 2020; 49:2081-2086. [PMID: 32556469 DOI: 10.1007/s00256-020-03512-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 06/06/2020] [Accepted: 06/09/2020] [Indexed: 02/02/2023]
Abstract
Fat-water swapping is an artifact specific to chemical shift encoded MRI and so-called Dixon methods. It is more frequent using the 2-point than the multi-point (> 2) Dixon method. Actually, fat-water swapping on the 2-point Dixon sequences partly triggered the development of the multi-point techniques. Fat-water swapping occurs on post-processing calculated fat- and water-only images, but not on the directly acquired in-phase and out-of-phase source images. It originates from a natural ambiguity between fat and water peaks that may cause inverted calculation between fat- and water-only voxels. Fat-water swapping artifact over large areas encompassing multiple tissues can easily be recognized, but it may be confusing when the calculation errors are limited to a single anatomic structure or a small area, especially on T2-weighted images. We report four cases with 2-point Dixon fat-water swapping artifacts mimicking musculoskeletal lesions at T2-weighted MRI and propose hints to avoid misinterpretation.
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van Vucht N, Santiago R, Lottmann B, Pressney I, Harder D, Sheikh A, Saifuddin A. The Dixon technique for MRI of the bone marrow. Skeletal Radiol 2019; 48:1861-1874. [PMID: 31309243 DOI: 10.1007/s00256-019-03271-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 06/25/2019] [Accepted: 06/27/2019] [Indexed: 02/02/2023]
Abstract
Dixon sequences are established as a reliable MRI technique that can be used for problem-solving in the assessment of bone marrow lesions. Unlike other fat suppression methods, Dixon techniques rely on the difference in resonance frequency between fat and water and in a single acquisition, fat only, water only, in-phase and out-of-phase images are acquired. This gives Dixon techniques the unique ability to quantify the amount of fat within a bone lesion, allowing discrimination between marrow-infiltrating and non-marrow-infiltrating lesions such as focal nodular marrow hyperplasia. Dixon can be used with gradient echo and spin echo techniques, both two-dimensional and three-dimensional imaging. Another advantage is its rapid acquisition time, especially when using traditional two-point Dixon gradient echo sequences. Overall, Dixon is a robust fat suppression method that can also be used with intravenous contrast agents. After reviewing the available literature, we would like to advocate the implementation of additional Dixon sequences as a problem-solving tool during the assessment of bone marrow pathology.
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Affiliation(s)
- Niels van Vucht
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK.
| | - Rodney Santiago
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK
| | - Bianca Lottmann
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK
| | - Ian Pressney
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK
| | - Dorothee Harder
- Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Adnan Sheikh
- Department of Medical Imaging, The Ottawa Hospital, Civic Campus, 1053 Carling Avenue, Ottawa, Ontario, K1Y 4E9, Canada
| | - Asif Saifuddin
- Department of Medical Imaging, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, UK
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