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Rofo 2022; 194(10): 1100-1108
DOI: 10.1055/a-1800-8692
DOI: 10.1055/a-1800-8692
Review
Practical Aspects of novel MRI Techniques in Neuroradiology: Part 1–3D Acquisitions, Dixon Techniques and Artefact Reduction
Article in several languages: English | deutsch
Abstract
Background Recently introduced MRI techniques offer improved image quality and facilitate examinations of patients even when artefacts are expected. They pave the way for novel diagnostic imaging strategies in neuroradiology. These methods include improved 3D imaging, movement and metal artefact reduction techniques as well as Dixon techniques.
Methods Narrative review with an educational focus based on current literature research and practical experiences of different professions involved (physicians, MRI technologists/radiographers, physics/biomedical engineering). Different hardware manufacturers are considered.
Results and Conclusions 3D FLAIR is an example of a versatile 3D Turbo Spin Echo sequence with broad applicability in routine brain protocols. It facilitates detection of smaller lesions and more precise measurements for follow-up imaging. It also offers high sensitivity for extracerebral lesions. 3D techniques are increasingly adopted for imaging arterial vessel walls, cerebrospinal fluid spaces and peripheral nerves. Improved hybrid-radial acquisitions are available for movement artefact reduction in a broad application spectrum. Novel susceptibility artefact reduction techniques for targeted application supplement previously established metal artefact reduction sequences. Most of these techniques can be further adapted to achieve the desired diagnostic performances. Dixon techniques allow for homogeneous fat suppression in transition areas and calculation of different image contrasts based on a single acquisition.
Key points:
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3D FLAIR can replace 2 D FLAIR for most brain imaging applications and can be a cornerstone of more precise and more widely applicable protocols.
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Further 3D TSE sequences are increasingly replacing 2D TSE sequences for specific applications.
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Improvement of artefact reduction techniques increase the potential for effective diagnostic MRI exams despite movement or near metal implants.
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Dixon techniques facilitate homogeneous fat suppression and simultaneous acquisition of multiple contrasts.
Citation Format
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Sundermann B, Billebaut B, Bauer J et al. Practical Aspects of novel MRI Techniques in Neuroradiology: Part 1–3D Acquisitions, Dixon Techniques and Artefact Reduction. Fortschr Röntgenstr 2022; 194: 1100 – 1108
Key words
MR-imaging - neuroradiology - 3D imaging - metal artefact reduction - movement artefact reduction - DixonPublication History
Received: 31 August 2021
Accepted: 05 March 2022
Article published online:
11 May 2022
© 2022. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
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References
- 1 Rovira A, Wattjes MP, Tintore M. et al. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process. Nat Rev Neurol 2015; 11: 471-482 DOI: 10.1038/nrneurol.2015.106.
- 2 Filippi M, Preziosa P, Banwell BL. et al. Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines. Brain 2019; 142: 1858-1875 DOI: 10.1093/brain/awz144.
- 3 Traboulsee A, Simon JH, Stone L. et al. Revised Recommendations of the Consortium of MS Centers Task Force for a Standardized MRI Protocol and Clinical Guidelines for the Diagnosis and Follow-Up of Multiple Sclerosis. AJNR Am J Neuroradiol 2016; 37: 394-401 DOI: 10.3174/ajnr.A4539.
- 4 Ellingson BM, Bendszus M, Boxerman J. et al. Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials. Neuro Oncol 2015; 17: 1188-1198 DOI: 10.1093/neuonc/nov095.
- 5 Kaufmann TJ, Smits M, Boxerman J. et al. Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro Oncol 2020; 22: 757-772 DOI: 10.1093/neuonc/noaa030.
- 6 Wattjes MP, Ciccarelli O, Reich DS. et al. 2021 MAGNIMS-CMSC-NAIMS consensus recommendations on the use of MRI in patients with multiple sclerosis. Lancet Neurol 2021; 20: 653-670 DOI: 10.1016/S1474-4422(21)00095-8.
- 7 Viallon M, Cuvinciuc V, Delattre B. et al. State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications. Neuroradiology 2015; 57: 441-467 DOI: 10.1007/s00234-015-1500-1.
- 8 Mugler 3rd JP. Optimized three-dimensional fast-spin-echo MRI. J Magn Reson Imaging 2014; 39: 745-767 DOI: 10.1002/jmri.24542.
- 9 Hennig J, Nauerth A, Friedburg H. RARE imaging: a fast imaging method for clinical MR. Magn Reson Med 1986; 3: 823-833 DOI: 10.1002/mrm.1910030602.
- 10 Chagla GH, Busse RF, Sydnor R. et al. Three-dimensional fluid attenuated inversion recovery imaging with isotropic resolution and nonselective adiabatic inversion provides improved three-dimensional visualization and cerebrospinal fluid suppression compared to two-dimensional flair at 3 tesla. Invest Radiol 2008; 43: 547-551 DOI: 10.1097/RLI.0b013e3181814d28.
- 11 Kallmes DF, Hui FK, Mugler JP. et al. Suppression of cerebrospinal fluid and blood flow artifacts in FLAIR MR imaging with a single-slab three-dimensional pulse sequence: initial experience. Radiology 2001; 221: 251-255 DOI: 10.1148/radiol.2211001712.
- 12 Saranathan M, Worters PW, Rettmann DW. et al. Physics for clinicians: Fluid-attenuated inversion recovery (FLAIR) and double inversion recovery (DIR) Imaging. J Magn Reson Imaging 2017; 46: 1590-1600 DOI: 10.1002/jmri.25737.
- 13 Kakeda S, Korogi Y, Hiai Y. et al. Pitfalls of 3D FLAIR brain imaging: a prospective comparison with 2D FLAIR. Acad Radiol 2012; 19: 1225-1232 DOI: 10.1016/j.acra.2012.04.017.
- 14 Lecler A, Bouzad C, Deschamps R. et al. Optimizing 3D FLAIR to detect MS lesions: pushing past factory settings for precise results. J Neurol 2019; 266: 2786-2795 DOI: 10.1007/s00415-019-09490-y.
- 15 Lecler A, El Sanharawi I, El Methni J. et al. Improving Detection of Multiple Sclerosis Lesions in the Posterior Fossa Using an Optimized 3D-FLAIR Sequence at 3T. AJNR Am J Neuroradiol 2019; 40: 1170-1176 DOI: 10.3174/ajnr.A6107.
- 16 Polak P, Magnano C, Zivadinov R. et al. 3D FLAIRED: 3D fluid attenuated inversion recovery for enhanced detection of lesions in multiple sclerosis. Magn Reson Med 2012; 68: 874-881 DOI: 10.1002/mrm.23289.
- 17 Algin O, Turkbey B. Evaluation of aqueductal stenosis by 3D sampling perfection with application-optimized contrasts using different flip angle evolutions sequence: preliminary results with 3T MR imaging. AJNR Am J Neuroradiol 2012; 33: 740-746 DOI: 10.3174/ajnr.A2833.
- 18 Levy LM, Di Chiro G, Brooks RA. et al. Spinal cord artifacts from truncation errors during MR imaging. Radiology 1988; 166: 479-483 DOI: 10.1148/radiology.166.2.3336724.
- 19 Lindenholz A, van der Kolk AG, Zwanenburg JJM. et al. The Use and Pitfalls of Intracranial Vessel Wall Imaging: How We Do It. Radiology 2018; 286: 12-28 DOI: 10.1148/radiol.2017162096.
- 20 Leao DJ, Agarwal A, Mohan S. et al. Intracranial vessel wall imaging: applications, interpretation, and pitfalls. Clin Radiol 2020; 75: 730-739 DOI: 10.1016/j.crad.2020.02.006.
- 21 Zhu C, Tian B, Chen L. et al. Accelerated whole brain intracranial vessel wall imaging using black blood fast spin echo with compressed sensing (CS-SPACE). MAGMA 2018; 31: 457-467 DOI: 10.1007/s10334-017-0667-3.
- 22 Guggenberger K, Krafft AJ, Ludwig U. et al. High-resolution Compressed-sensing T1 Black-blood MRI: A New Multipurpose Sequence in Vascular Neuroimaging?. Clin Neuroradiol 2019; DOI: 10.1007/s00062-019-00867-0.
- 23 Park CJ, Cha J, Ahn SS. et al. Contrast-Enhanced High-Resolution Intracranial Vessel Wall MRI with Compressed Sensing: Comparison with Conventional T1 Volumetric Isotropic Turbo Spin Echo Acquisition Sequence. Korean J Radiol 2020; 21: 1334-1344 DOI: 10.3348/kjr.2020.0128.
- 24 Okuchi S, Fushimi Y, Okada T. et al. Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE. Eur Radiol 2019; 29: 4114-4122 DOI: 10.1007/s00330-018-5862-8.
- 25 Cho SJ, Jung SC, Suh CH. et al. High-resolution magnetic resonance imaging of intracranial vessel walls: Comparison of 3D T1-weighted turbo spin echo with or without DANTE or iMSDE. PLoS One 2019; 14: e0220603 DOI: 10.1371/journal.pone.0220603.
- 26 Riederer I, Sollmann N, Muhlau M. et al. Gadolinium-Enhanced 3D T1-Weighted Black-Blood MR Imaging for the Detection of Acute Optic Neuritis. AJNR Am J Neuroradiol 2020; DOI: 10.3174/ajnr.A6807.
- 27 Mugler 3rd JP, Brookeman JR. Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE). Magn Reson Med 1990; 15: 152-157 DOI: 10.1002/mrm.1910150117.
- 28 Haacke EM, Xu Y, Cheng YC. et al. Susceptibility weighted imaging (SWI). Magn Reson Med 2004; 52: 612-618 DOI: 10.1002/mrm.20198.
- 29 Liu S, Buch S, Chen Y. et al. Susceptibility-weighted imaging: current status and future directions. NMR Biomed 2017; 30 DOI: 10.1002/nbm.3552.
- 30 Guerini H, Omoumi P, Guichoux F. et al. Fat Suppression with Dixon Techniques in Musculoskeletal Magnetic Resonance Imaging: A Pictorial Review. Semin Musculoskelet Radiol 2015; 19: 335-347 DOI: 10.1055/s-0035-1565913.
- 31 Feng L, Benkert T, Block KT. et al. Compressed sensing for body MRI. J Magn Reson Imaging 2017; 45: 966-987 DOI: 10.1002/jmri.25547.
- 32 Conklin J, Longo MGF, Cauley SF. et al. Validation of Highly Accelerated Wave-CAIPI SWI Compared with Conventional SWI and T2*-Weighted Gradient Recalled-Echo for Routine Clinical Brain MRI at 3T. AJNR Am J Neuroradiol 2019; 40: 2073-2080 DOI: 10.3174/ajnr.A6295.
- 33 Pipe JG. Motion correction with PROPELLER MRI: application to head motion and free-breathing cardiac imaging. Magn Reson Med 1999; 42: 963-969 DOI: 10.1002/(sici)1522-2594(199911)42:5<963::aid-mrm17>3.0.co;2-l.
- 34 Finkenzeller T, Wendl CM, Lenhart S. et al. BLADE Sequences in Transverse T2-weighted MR Imaging of the Cervical Spine. Cut-off for Artefacts?. Rofo 2015; 36: 102-108 DOI: 10.1055/s-0034-1385179.
- 35 Alibek S, Adamietz B, Cavallaro A. et al. Contrast-enhanced T1-weighted fluid-attenuated inversion-recovery BLADE magnetic resonance imaging of the brain: an alternative to spin-echo technique for detection of brain lesions in the unsedated pediatric patient?. Acad Radiol 2008; 15: 986-995 DOI: 10.1016/j.acra.2008.03.009.
- 36 Mavroidis P, Giankou E, Tsikrika A. et al. Brain imaging: Comparison of T1W FLAIR BLADE with conventional T1W SE. Magn Reson Imaging 2017; 37: 234-242 DOI: 10.1016/j.mri.2016.12.007.
- 37 Vertinsky AT, Rubesova E, Krasnokutsky MV. et al. Performance of PROPELLER relative to standard FSE T2-weighted imaging in pediatric brain MRI. Pediatr Radiol 2009; 39: 1038-1047 DOI: 10.1007/s00247-009-1292-8.
- 38 Lavdas E, Mavroidis P, Kostopoulos S. et al. Reduction of motion, truncation and flow artifacts using BLADE sequences in cervical spine MR imaging. Magn Reson Imaging 2015; 33: 194-200 DOI: 10.1016/j.mri.2014.10.014.
- 39 Zaitsev M, Maclaren J, Herbst M. Motion artifacts in MRI: A complex problem with many partial solutions. J Magn Reson Imaging 2015; 42: 887-901 DOI: 10.1002/jmri.24850.
- 40 Glover GH, Pauly JM. Projection reconstruction techniques for reduction of motion effects in MRI. Magn Reson Med 1992; 28: 275-289 DOI: 10.1002/mrm.1910280209.
- 41 Lee S-J, Yu S-M. The image evaluation of iterative motion correction reconstruction algorithm PROPELLER T2-weighted imaging compared with MultiVane T2-weighted imaging. Journal of the Korean Physical Society 2017; 71: 238-243 DOI: 10.3938/jkps.71.238.
- 42 Bangiyev L, Raz E, Block TK. et al. Evaluation of the orbit using contrast-enhanced radial 3D fat-suppressed T1 weighted gradient echo (Radial-VIBE) sequence. Br J Radiol 2015; 88: 20140863 DOI: 10.1259/bjr.20140863.
- 43 Wu X, Raz E, Block TK. et al. Contrast-enhanced radial 3D fat-suppressed T1-weighted gradient-recalled echo sequence versus conventional fat-suppressed contrast-enhanced T1-weighted studies of the head and neck. Am J Roentgenol 2014; 203: 883-889 DOI: 10.2214/Am J Roentgenol.13.11729.
- 44 Chandarana H, Block KT, Winfeld MJ. et al. Free-breathing contrast-enhanced T1-weighted gradient-echo imaging with radial k-space sampling for paediatric abdominopelvic MRI. Eur Radiol 2014; 24: 320-326 DOI: 10.1007/s00330-013-3026-4.
- 45 Chandarana H, Block TK, Rosenkrantz AB. et al. Free-breathing radial 3D fat-suppressed T1-weighted gradient echo sequence: a viable alternative for contrast-enhanced liver imaging in patients unable to suspend respiration. Invest Radiol 2011; 46: 648-653 DOI: 10.1097/RLI.0b013e31821eea45.
- 46 Hedderich DM, Weiss K, Spiro JE. et al. Clinical Evaluation of Free-Breathing Contrast-Enhanced T1w MRI of the Liver using Pseudo Golden Angle Radial k-Space Sampling. Rofo 2018; 190: 601-609 DOI: 10.1055/s-0044-101263.
- 47 Xue Y, Yu J, Kang HS. et al. Automatic coil selection for streak artifact reduction in radial MRI. Magn Reson Med 2012; 67: 470-476 DOI: 10.1002/mrm.23023.
- 48 Dillenseger JP, Moliere S, Choquet P. et al. An illustrative review to understand and manage metal-induced artifacts in musculoskeletal MRI: a primer and updates. Skeletal Radiol 2016; 45: 677-688 DOI: 10.1007/s00256-016-2338-2.
- 49 Talbot BS, Weinberg EP. MR Imaging with Metal-suppression Sequences for Evaluation of Total Joint Arthroplasty. Radiographics 2016; 36: 209-225 DOI: 10.1148/rg.2016150075.
- 50 Khodarahmi I, Isaac A, Fishman EK. et al. Metal About the Hip and Artifact Reduction Techniques: From Basic Concepts to Advanced Imaging. Semin Musculoskelet Radiol 2019; 23: e68-e81 DOI: 10.1055/s-0039-1687898.
- 51 Jungmann PM, Agten CA, Pfirrmann CW. et al. Advances in MRI around metal. J Magn Reson Imaging 2017; 46: 972-991 DOI: 10.1002/jmri.25708.
- 52 Cho ZH, Kim DJ, Kim YK. Total inhomogeneity correction including chemical shifts and susceptibility by view angle tilting. Med Phys 1988; 15: 7-11 DOI: 10.1118/1.596162.
- 53 Lu W, Pauly KB, Gold GE. et al. SEMAC: Slice Encoding for Metal Artifact Correction in MRI. Magn Reson Med 2009; 62: 66-76 DOI: 10.1002/mrm.21967.
- 54 Koch KM, Lorbiecki JE, Hinks RS. et al. A multispectral three-dimensional acquisition technique for imaging near metal implants. Magn Reson Med 2009; 61: 381-390 DOI: 10.1002/mrm.21856.
- 55 Porter DA, Heidemann RM. High resolution diffusion-weighted imaging using readout-segmented echo-planar imaging, parallel imaging and a two-dimensional navigator-based reacquisition. Magn Reson Med 2009; 62: 468-475 DOI: 10.1002/mrm.22024.
- 56 Fritz J, Ahlawat S, Demehri S. et al. Compressed Sensing SEMAC: 8-fold Accelerated High Resolution Metal Artifact Reduction MRI of Cobalt-Chromium Knee Arthroplasty Implants. Invest Radiol 2016; 51: 666-676 DOI: 10.1097/RLI.0000000000000317.
- 57 Worters PW, Sung K, Stevens KJ. et al. Compressed-sensing multispectral imaging of the postoperative spine. J Magn Reson Imaging 2013; 37: 243-248 DOI: 10.1002/jmri.23750.
- 58 Frost R, Jezzard P, Douaud G. et al. Scan time reduction for readout-segmented EPI using simultaneous multislice acceleration: Diffusion-weighted imaging at 3 and 7 Tesla. Magn Reson Med 2015; 74: 136-149 DOI: 10.1002/mrm.25391.
- 59 Ahlawat S, Stern SE, Belzberg AJ. et al. High-resolution metal artifact reduction MR imaging of the lumbosacral plexus in patients with metallic implants. Skeletal Radiol 2017; 46: 897-908 DOI: 10.1007/s00256-017-2630-9.
- 60 Dixon WT. Simple proton spectroscopic imaging. Radiology 1984; 153: 189-194 DOI: 10.1148/radiology.153.1.6089263.
- 61 Glover GH, Schneider E. Three-point Dixon technique for true water/fat decomposition with B0 inhomogeneity correction. Magn Reson Med 1991; 18: 371-383 DOI: 10.1002/mrm.1910180211.
- 62 Hardy PA, Hinks RS, Tkach JA. Separation of fat and water in fast spin-echo MR imaging with the three-point Dixon technique. J Magn Reson Imaging 1995; 5: 181-185 DOI: 10.1002/jmri.1880050213.
- 63 Ma J. Dixon techniques for water and fat imaging. J Magn Reson Imaging 2008; 28: 543-558 DOI: 10.1002/jmri.21492.
- 64 Romu T, Dahlstrom N, Leinhard OD. et al. Robust water fat separated dual-echo MRI by phase-sensitive reconstruction. Magn Reson Med 2017; 78: 1208-1216 DOI: 10.1002/mrm.26488.
- 65 Gaddikeri S, Mossa-Basha M, Andre JB. et al. Optimal Fat Suppression in Head and Neck MRI: Comparison of Multipoint Dixon with 2 Different Fat-Suppression Techniques, Spectral Presaturation and Inversion Recovery, and STIR. AJNR Am J Neuroradiol 2018; 39: 362-368 DOI: 10.3174/ajnr.A5483.
- 66 Wendl CM, Eiglsperger J, Dendl LM. et al. Fat suppression in magnetic resonance imaging of the head and neck region: is the two-point DIXON technique superior to spectral fat suppression?. Br J Radiol 2018; 91: 20170078 DOI: 10.1259/bjr.20170078.
- 67 Ma J, Jackson EF, Kumar AJ. et al. Improving fat-suppressed T2-weighted imaging of the head and neck with 2 fast spin-echo dixon techniques: initial experiences. AJNR Am J Neuroradiol 2009; 30: 42-45 DOI: 10.3174/ajnr.A1132.
- 68 Krinsky G, Rofsky NM, Weinreb JC. Nonspecificity of short inversion time inversion recovery (STIR) as a technique of fat suppression: pitfalls in image interpretation. Am J Roentgenol 1996; 166: 523-526 DOI: 10.2214/ajr.166.3.8623620.