English
Related papers

Related papers: SQUID-based instrumentation for ultra-low-field MR…

200 papers

Nuclear magnetism underpins areas such as medicine in magnetic resonance imaging (MRI). Hyperpolarization of nuclei enhances the quantity and quality of information that can be determined from these techniques by increasing their signal to…

Superconductivity · Physics 2025-01-16 John Z. Myers , Kai Buckenmaier , Andrey N. Pravdivtsev , Markus Plaumann , Rainer Körber

A novel setup for the measurement of magnetic fields external to certain antiferromagnets and generally weakly remanent magnetic materials is presented. The setup features a highly sensitive Super Conducting Quantum Interference Device…

Access to magnetic resonance imaging (MRI) remains severely limited in low- and middle-income countries, especially in sub-Saharan Africa, despite rising rates of non-communicable diseases. Low-field MRI presents an affordable, locally…

Ultrahigh field (UHF) Magnetic Resonance Imaging (MRI) provides a higher signal-to-noise ratio and, thereby, higher spatial resolution. However, UHF MRI introduces challenges such as transmit radiofrequency (RF) field (B1+) inhomogeneities,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-07 Zhengyi Lu , Hao Liang , Xiao Wang , Xinqiang Yan , Yuankai Huo

Ultrahigh field (UHF) Magnetic Resonance Imaging (MRI) offers an elevated signal-to-noise ratio (SNR), enabling exceptionally high spatial resolution that benefits both clinical diagnostics and advanced research. However, the jump to higher…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Zhengyi Lu , Hao Liang , Ming Lu , Xiao Wang , Xinqiang Yan , Yuankai Huo

Magnetic resonance imaging (MRI) super-resolution (SR) methods that computationally enhance low-resolution acquisitions to approximate high-resolution quality offer a compelling alternative to expensive high-field scanners. In this work we…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Hendrik Chiche , Ludovic Corcos , Logan Rouge

Ultra-low field magnetic resonance imaging(ULF-MRI) systems operating in open environments are highly susceptible to composite electromagnetic interference(EMI). Different imaging channels respond non-uniformly to EMI owing to their…

Signal Processing · Electrical Eng. & Systems 2025-09-09 Jiali He , Sheng Shen , Jiamin Wu , Xiaohan Kong , Yamei Dai , Liang Tan , Zheng Xu

Magnetoencephalography (MEG) conventionally operates within high-performance magnetic shields due to the extremely weak magnetic field signals from the measured objects and the narrow dynamic range of the magnetic sensors employed for…

Medical Physics · Physics 2024-03-20 Yosuke Ito , Hiroyuki Ueda , Takenori Oida , Takahiro Moriya , Akinori Saito , Motohiro Suyama

We describe a multichannel magnetoencephalography (MEG) system that uses optically pumped magnetometers (OPMs) to sense the magnetic fields of the human brain. The system consists of an array of 20 OPM channels conforming to the human…

Superconducting QUantum Interference Device (SQUID) microscopy has excellent magnetic field sensitivity, but suffers from modest spatial resolution when compared with other scanning probes. This spatial resolution is determined by both the…

Recent developments in low-field (LF) magnetic resonance imaging (MRI) systems present remarkable opportunities for affordable and widespread MRI access. A robust denoising method to overcome the intrinsic low signal-noise-ratio (SNR)…

Image and Video Processing · Electrical Eng. & Systems 2024-05-01 Zheren Zhu , Azaan Rehman , Xiaozhi Cao , Congyu Liao , Yoo Jin Lee , Michael Ohliger , Hui Xue , Yang Yang

Magnetoencephalography (MEG) enables the study of brain activity by recording the magnetic fields generated by neural currents and has become an important technique for neuroscientists in research and clinical settings. Unlike the…

Ultra-low-field (ULF, <0.1 T) magnetic resonance imaging (MRI) systems offer advantages in cost, portability, and accessibility, but their current utility is still limited by low signal-to-noise ratio (SNR). Deep learning (DL)-based…

Portable ultra-low-field MRI (uLF-MRI, 0.064 T) offers accessible neuroimaging for neonatal care but suffers from low signal-to-noise ratio and poor diagnostic quality compared to high-field (HF) MRI. We propose MRIQT, a 3D conditional…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Malek Al Abed , Sebiha Demir , Anne Groteklaes , Elodie Germani , Shahrooz Faghihroohi , Hemmen Sabir , Shadi Albarqouni

Early identification of neurodevelopmental disorders relies on accurate segmentation of brain structures in infancy, a task complicated by rapid brain growth, poor tissue contrast, and motion artifacts in pediatric MRI. These challenges are…

Image and Video Processing · Electrical Eng. & Systems 2026-02-13 Vladyslav Zalevskyi , Dondu-Busra Bulut , Thomas Sanchez , Meritxell Bach Cuadra

Low-field magnetic resonance imaging (MRI) offers a cost-effective alternative for medical imaging in resource-limited settings. However, its widespread adoption is hindered by two key challenges: prolonged scan times and reduced image…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Daniel Tweneboah Anyimadu , Mohammed Abdalla , Mohammed M. Abdelsamea , Ahmed Karam Eldaly

We have designed and characterized a micro-SQUID with dispersive readout for use in low temperature scanning probe microscopy systems. The design features a capacitively shunted RF SQUID with a tunable resonance frequency from 5 to 12 GHz,…

Balanced steady-state free precession (bSSFP) can be used as an alternative to gradient-echo (GE) EPI for BOLD functional MRI when image distortions and signal drop-outs are severe such as at ultra-high field. However, 3D-bSSFP acquisitions…

Medical Physics · Physics 2019-06-26 Olivier Reynaud , Analina R. da Silva , Rolf Gruetter , Ileana O. Jelescu

Hemodynamic changes occur in stroke and neurodegenerative diseases. Developing imaging techniques allowing the in vivo visualization and quantification of cerebral blood flow would help better understand the underlying mechanism of those…

Image and Video Processing · Electrical Eng. & Systems 2024-12-24 Paul Xing , Vincent Perrot , Adan Ulises Dominguez-Vargas , Stephan Quessy , Numa Dancause , Jean Provost

Magnetic Resonance Fingerprinting (MRF) enables fast quantitative imaging, yet reconstructing high-resolution 3D data remains computationally demanding. Non-Cartesian reconstructions require repeated non-uniform FFTs, and the commonly used…

Image and Video Processing · Electrical Eng. & Systems 2026-02-13 Yonatan Urman , Mark Nishimura , Daniel Abraham , Xiaozhi Cao , Kawin Setsompop