Radiation and EMI shielding of 3D printed lightweight components for neuroimaging devices DOI Creative Commons
Azadeh Mirabedini,

Chris McCrowe,

David O. Welch

et al.

Smart Materials in Manufacturing, Journal Year: 2025, Volume and Issue: 3, P. 100085 - 100085

Published: Jan. 1, 2025

Language: Английский

Low‐field MRI: Clinical promise and challenges DOI Creative Commons
Thomas Arnold, Colbey W. Freeman, Brian Litt

et al.

Journal of Magnetic Resonance Imaging, Journal Year: 2022, Volume and Issue: 57(1), P. 25 - 44

Published: Sept. 19, 2022

Modern MRI scanners have trended toward higher field strengths to maximize signal and resolution while minimizing scan time. However, high‐field devices remain expensive install operate, making them scarce outside of high‐income countries major population centers. Low‐field strength drawn renewed academic, industry, philanthropic interest due advantages that could dramatically increase imaging access, including lower cost portability. Nevertheless, low‐field still faces inherent limitations in image quality come with decreased signal. In this article, we review disadvantages scanners, describe hardware software innovations accentuate mitigate disadvantages, consider clinical applications for a new generation devices. our review, explore how these are being or be used high acuity brain imaging, outpatient neuroimaging, MRI‐guided procedures, pediatric musculoskeletal imaging. Challenges their successful translation include selecting validating appropriate use cases, integrating standards care resource settings, expanding options actionable information low facilitating health providers practice ways. By embracing both the promise challenges MRI, clinicians researchers an opportunity transform medical patients around world. Level Evidence 5 Technical Efficacy Stage 6

Language: Английский

Citations

169

Brain imaging with portable low-field MRI DOI
W. Taylor Kimberly, Annabel Sorby‐Adams, Andrew Webb

et al.

Nature Reviews Bioengineering, Journal Year: 2023, Volume and Issue: 1(9), P. 617 - 630

Published: July 17, 2023

Language: Английский

Citations

56

Enhancing precision in human neuroscience DOI Creative Commons
Stephan Nebe, Mario Reutter, Daniel H. Baker

et al.

eLife, Journal Year: 2023, Volume and Issue: 12

Published: Aug. 9, 2023

Human neuroscience has always been pushing the boundary of what is measurable. During last decade, concerns about statistical power and replicability – in science general, but also specifically human have fueled an extensive debate. One important insight from this discourse need for larger samples, which naturally increases power. An alternative to increase precision measurements, focus review. This option often overlooked, even though benefits increasing as much sample size. Nonetheless, at heart good scientific practice neuroscience, with researchers relying on lab traditions or rules thumb ensure sufficient their studies. In review, we encourage a more systematic approach precision. We start by introducing measurement its importance well-powered studies neuroscience. Then, determinants range neuroscientific methods (MRI, M/EEG, EDA, Eye-Tracking, Endocrinology) are elaborated. end discussing how evaluation application respective insights can lead reproducibility

Language: Английский

Citations

43

Zero- to ultralow-field nuclear magnetic resonance DOI Creative Commons
Danila A. Barskiy, John W. Blanchard, Dmitry Budker

et al.

Progress in Nuclear Magnetic Resonance Spectroscopy, Journal Year: 2025, Volume and Issue: unknown, P. 101558 - 101558

Published: Feb. 1, 2025

Language: Английский

Citations

3

Low-Field, Low-Cost, Point-of-Care Magnetic Resonance Imaging DOI
Anja Samardzija, Kartiga Selvaganesan, Zhehong Zhang

et al.

Annual Review of Biomedical Engineering, Journal Year: 2024, Volume and Issue: 26(1), P. 67 - 91

Published: Jan. 11, 2024

Low-field magnetic resonance imaging (MRI) has recently experienced a renaissance that is largely attributable to the numerous technological advancements made in MRI, including optimized pulse sequences, parallel receive and compressed sensing, improved calibrations reconstruction algorithms, adoption of machine learning for image postprocessing. This new attention on low-field MRI originates from lack accessibility traditional need affordable imaging. provides viable option due its reliance radio-frequency shielding rooms, expensive liquid helium, cryogen quench pipes. Moreover, relatively small size weight allow easy installation most settings. Rather than replacing conventional will provide opportunities both developing developed countries. article discusses history hardware software, current devices market, advantages disadvantages, MRI's global potential.

Language: Английский

Citations

10

UNITY: A low-field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle-income settings DOI Creative Commons
Firehiwot Workneh,

Amanda Adu-Amankwah,

KA Ae-Ngibise

et al.

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 69, P. 101397 - 101397

Published: May 31, 2024

Measures of physical growth, such as weight and height have long been the predominant outcomes for monitoring child health evaluating interventional in public studies, including those that may impact neurodevelopment. While growth generally reflects overall nutritional status, it lacks sensitivity specificity to brain developing cognitive skills abilities. Psychometric tools, e.g., Bayley Scales Infant Toddler Development, afford more direct assessment development but they require language translation, cultural adaptation, population norming. Further, are not always reliable predictors future when assessed within first 12-18 months a child's life. Neuroimaging provide objective, sensitive, predictive measures neurodevelopment tools magnetic resonance (MR) imaging readily available many low middle-income countries (LMICs). MRI systems operate at lower fields (< 100mT) offer increased accessibility, their use global studies remains nascent. The UNITY project is envisaged partnership advance neuroimaging studies. Here we describe project, its goals, methods, operating procedures, expected characterizing sub-Saharan Africa South Asia.

Language: Английский

Citations

9

Sensitivity of portable low-field magnetic resonance imaging for multiple sclerosis lesions DOI Creative Commons
Thomas Arnold, Danni Tu, Serhat V. Okar

et al.

NeuroImage Clinical, Journal Year: 2022, Volume and Issue: 35, P. 103101 - 103101

Published: Jan. 1, 2022

Magnetic resonance imaging (MRI) is a fundamental tool in the diagnosis and management of neurological diseases such as multiple sclerosis (MS). New portable, low-field strength, MRI scanners could potentially lower financial technical barriers to neuroimaging reach underserved or disabled populations, but sensitivity these devices for MS lesions unknown. We sought determine if white matter can be detected on portable 64mT scanner, compare automated lesion segmentations total volume between paired 3T scans, identify features that contribute detection accuracy, explore super-resolution at low-field. In this prospective, cross-sectional study, same-day brain (FLAIR, T1w, T2w) scans were collected from 36 adults (32 women; mean age, 50 ± 14 years) with known suspected using Siemens (FLAIR: 1 mm isotropic, T1w: T2w: 0.34-0.5 × 3-5 mm) Hyperfine 1.6 5 mm, 1.5 two centers. Images reviewed by neuroradiologists. measured manually segmented an algorithm. Statistical analyses assessed accuracy variability across systematic scanner biases volumetric measurements. Lesions identified 94% (31/33) patients confirmed MS. The average smallest 5.7 1.3 maximum diameter vs 2.1 0.6 3T, approaching spatial resolution respective sequences (3T: 64mT: slice thickness). Automated estimates highly correlated (r = 0.89, p < 0.001). Bland-Altman analysis bias (mean ml, standard error 5.2 limits agreement -19.0-15.9 ml), which over-estimated low under-estimated high 0.74, Visual inspection revealed over-segmentation was driven venous hyperintensities T2-FLAIR. Lesion size drove segmentation 93% > 1.0 ml all being detected. Using multi-acquisition averaging, we able generate isotropic images device. Overall, our results demonstrate established MS, lesions, correlate measurements scans.

Language: Английский

Citations

38

An evolution of low-field strength MRI DOI Creative Commons
Jürgen Hennig

Magnetic Resonance Materials in Physics Biology and Medicine, Journal Year: 2023, Volume and Issue: 36(3), P. 335 - 346

Published: June 8, 2023

Abstract The paper describes the evolution of low-field MRI from very early pioneering days in late 70 s until today. It is not meant to give a comprehensive historical account development MRI, but rather highlight different research environments then and now. In 90 s, when systems below 1.5 T essentially vanished, there were just no reasonable means available make up for factor roughly three signal-to-noise-ratio (SNR) between 0.5 T. This has drastically changed. Improvements hardware—closed Helium-free magnets, RF receiver especially much faster gradients, more flexible sampling schemes including parallel imaging compressed sensing use AI at all stages process have made clinically viable supplement conventional MRI. Ultralow-field with magnets around 0.05 are also back constitute bold courageous endeavor bring communities, which neither nor infrastructure sustain current standard care

Language: Английский

Citations

21

Low‐field MRI: A report on the 2022 ISMRM workshop DOI Open Access
Adrienne Campbell‐Washburn, Kathryn E. Keenan, Peng Hu

et al.

Magnetic Resonance in Medicine, Journal Year: 2023, Volume and Issue: 90(4), P. 1682 - 1694

Published: June 22, 2023

In March 2022, the first ISMRM Workshop on Low‐Field MRI was held virtually. The goals of this workshop were to discuss recent low field technology including hardware and software developments, novel methodology, new contrast mechanisms, as well clinical translation dissemination these systems. virtual attended by 368 registrants from 24 countries, included 34 invited talks, 100 abstract presentations, 2 panel discussions, live scanner demonstrations. Here, we report scientific content identify key themes that emerged. subject matter reflected ongoing developments low‐field an accessible imaging modality may expand usage through cost reduction, portability, ease installation. Many talks in addressed use computational power, efficient acquisitions, contemporary overcome SNR limitations associated with strength. Participants discussed selection appropriate applications leverage unique capabilities within traditional radiology practices, other point‐of‐care settings, broader community. notion “image quality” versus “information content” also discussed, images portable systems are purpose‐built for decision‐making not replicate current standard imaging. Speakers described technical challenges infrastructure related portability widespread dissemination, speculated about future directions improve establish value.

Language: Английский

Citations

18

Structural MRI of brain similarity networks DOI
Isaac Sebenius, Lena Dorfschmidt, Jakob Seidlitz

et al.

Nature reviews. Neuroscience, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 28, 2024

Language: Английский

Citations

8