English
Related papers

Related papers: Parallel MRI at microtesla fields

200 papers

Magnetic resonance imaging at ultra-low fields (ULF MRI) is a promising new imaging method that uses SQUID sensors to measure the spatially encoded precession of pre-polarized nuclear spin populations at a microtesla-range measurement…

Medical Physics · Physics 2007-10-18 V. S. Zotev , A. N. Matlashov , P. L. Volegov , A. V. Urbaitis , M. A. Espy , R. H. Kraus

Magnetoencephalography (MEG) and magnetic resonance imaging at ultra-low fields (ULF MRI) are two methods based on the ability of SQUID (superconducting quantum interference device) sensors to detect femtotesla magnetic fields. Combination…

A seven-channel system capable of performing both magnetoencephalography (MEG) and ultra-low-field magnetic resonance imaging (ULF MRI) is described. The system consists of seven second-order SQUID gradiometers with 37 mm diameter and 60 mm…

One of the challenges in functional brain imaging is integration of complementary imaging modalities, such as magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). MEG, which uses highly sensitive superconducting…

We propose a radical advance in Magnetic Resonance Imaging. MRI remains slow because it requires successive applications of magnetic field gradients to encode for spatial location. Parallel MRI accelerates imaging by permitting…

Medical Physics · Physics 2018-09-19 Michael Hutchinson , Ulrich Raff , Luis Osorio

Magnetic resonance imaging at microtesla fields is a promising imaging method that combines the pre-polarization technique and broadband signal reception by SQUID sensors to enable in vivo MRI at microtesla-range magnetic fields. Despite…

Medical Physics · Physics 2010-10-18 V. S. Zotev , T. Owens , A. N. Matlashov , I. M. Savukov , J. J. Gomez , M. A. Espy

Magnetic fields associated with currents flowing in tissue can be measured non-invasively by means of zero-field-encoded ultra-low-field magnetic resonance imaging (ULF MRI) enabling current density imaging (CDI) and possibly conductivity…

Ultra-low-field (ULF) MRI offers portable and low-cost imaging but suffers from poor image quality. To address this, we present our submission to the 2025 ULF Enhancement Challenge (ULF-EnC), where the goal is to synthesise high-field-like…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 James Grover , Andrew Phair , Michael Ferraro , David E. J. Waddington

Ultra-low-field (ULF) MRI offers portable and accessible neuroimaging but suffers from reduced signal-to-noise ratio and limited spatial resolution compared to high-field (HF) systems. Acquiring paired ULF-HF data for supervised enhancement…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Toufiq Musah , Salvatore Calcagno , Federica Proietto Salanitri , Xiaomeng Li , Maruf Adewole , Marawan Elbatel

SQUID-based MRI (magnetic resonance imaging) at microtesla fields has developed significantly over the past few years. Here we describe application of this method for magnetic relaxation measurements in the living human brain. We report…

Medical Physics · Physics 2009-07-18 V. S. Zotev , P. L. Volegov , A. N. Matlashov , I. M. Savukov , T. Owens , M. A. Espy

Superconducting QUantum-Interference Devices (SQUIDs) make magnetic resonance imaging (MRI) possible in ultra-low microtesla-range magnetic fields. In this work, we investigate the design parameters affecting the signal and noise…

Instrumentation and Detectors · Physics 2020-01-16 Koos C. J. Zevenhoven , Antti J. Mäkinen , Risto J. Ilmoniemi

Ultra-low field (ULF) MRI is a promising method for inexpensive medical imaging with various additional advantages over conventional instruments such as low weight, low power, portability, absence of artifacts from metals, and high…

Medical Physics · Physics 2015-06-12 I. Savukov , T. Karaulanov

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

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

Reducing the scanning time of very-low field (VLF) magnetic resonance imaging (MRI) scanners, commonly employed for stroke diagnosis, can enhance patient comfort and operational efficiency. The conventional parallel imaging (PI) technique…

Medical Physics · Physics 2025-12-24 Lei Yang , Wei He , Sheng Shen , Yucheng He , Jiamin Wu , Zheng Xu

We present the prototype module of our extendible and robust multichannel SQUID magnetometer system. A multi-module arrangement can be implemented by using up to 7 modules. It is intended for high-precision measurements of biomagnetism and…

Instrumentation and Detectors · Physics 2017-08-29 Jan-Hendrik Storm , Dietmar Drung , Martin Burghoff , Rainer Körber

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), i.e., 7T MRI, provides superior anatomical details of internal brain structures owing to its enhanced signal-to-noise ratio and susceptibility-induced contrast. However, the widespread…

Computer Vision and Pattern Recognition · Computer Science 2024-02-14 Kwanseok Oh , Jieun Lee , Da-Woon Heo , Dinggang Shen , Heung-Il Suk

Magnetic Resonance Imaging (MRI) acquisitions require extensive scan times, limiting patient throughput and increasing susceptibility to motion artifacts. Accelerated parallel MRI techniques reduce acquisition time by undersampling k-space…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Mingi Kang

Direct imaging of impressed dc currents inside the head can provide valuable conductivity information, possibly improving electro-magnetic neuroimaging. Ultra-low field magnetic resonance imaging (ULF MRI) at $\mu$T Larmor fields can be…

Medical Physics · Physics 2019-05-09 P. Hömmen , J. -H. Storm , N. Höfner , R. Körber
‹ Prev 1 2 3 10 Next ›