English
Related papers

Related papers: Demonstration of full tensor current density imagi…

200 papers

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…

The feasibility of using ultra-low-field magnetic resonance (ULF MR) for direct neuronal current imaging (NCI) is investigated by phantom measurements. The aim of NCI is to improve the current localization accuracy for neuronal activity of…

Medical Physics · Physics 2019-06-27 Nora Höfner , Rainer Körber , Martin Burghoff

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

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 (ULF) MRI is emerging as an alternative modality to high-field (HF) MRI due to its lower cost, minimal siting requirements, portability, and enhanced accessibility factors that enable large-scale deployment. Although ULF-MRI…

Parallel imaging techniques have been widely used in high-field magnetic resonance imaging (MRI). Multiple receiver coils have been shown to improve image quality and allow accelerated image acquisition. Magnetic resonance imaging at…

Medical Physics · Physics 2008-11-26 V. S. Zotev , P. L. Volegov , A. N. Matlashov , M. A. Espy , J. C. Mosher , R. H. Kraus

Portable, ultra-low-field (ULF) magnetic resonance imaging has the potential to expand access to neuroimaging but currently suffers from coarse spatial and angular resolutions and low signal-to-noise ratios. Diffusion tensor imaging (DTI),…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Mark D. Olchanyi , Annabel Sorby-Adams , John Kirsch , Brian L. Edlow , Ava Farnan , Renfei Liu , Matthew S. Rosen , Emery N. Brown , W. Taylor Kimberly , Juan Eugenio Iglesias

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) is universally acknowledged as an excellent tool to extract detailed spatial information with minimally invasive measurements. Efforts toward ultra-low-field (ULF) MRI are made to simplify the scanners and…

Applied Physics · Physics 2019-10-28 Giuseppe Bevilacqua , Valerio Biancalana , Yordanka Dancheva , Antonio Vigilante

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

Low-field (LF) MRI scanners have the power to revolutionize medical imaging by providing a portable and cheaper alternative to high-field MRI scanners. However, such scanners are usually significantly noisier and lower quality than their…

Image and Video Processing · Electrical Eng. & Systems 2022-11-29 Aryan Kalluvila , Neha Koonjoo , Danyal Bhutto , Marcio Rockenbach , Matthew S. Rosen

We present an unsupervised single image bidirectional Magnetic Resonance Image (MRI) synthesizer that synthesizes an Ultra-Low Field (ULF) like image from a High-Field (HF) magnitude image and vice-versa. Unlike existing MRI synthesis…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Pranav Indrakanti , Ivor Simpson

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…

Charge transport in nanostructures and thin films is fundamental to many phenomena and processes in science and technology, ranging from quantum effects and electronic correlations in mesoscopic physics, to integrated charge- or spin-based…

Mesoscale and Nanoscale Physics · Physics 2017-04-24 K. Chang , A. Eichler , C. L. Degen

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

Portable ultra-low field MRI (ULF-MRI) systems operated in unshielded environments are susceptible to electromagnetic interference (EMI). Subject presence in the imaging region will lead to substantial noise increases, yet the dominant…

Signal Processing · Electrical Eng. & Systems 2026-02-26 Jiali He , Yamei Dai , Sheng Shen , Jiamin Wu , Zheng Xu

To address many of the deficiencies in optical neuroimaging technologies such as poor spatial resolution, time-consuming reconstruction, low penetration depth, and contact-based measurement, a novel, noncontact, time-resolved laser speckle…

We provide a mathematical analysis and a numerical framework for Lorentz force electrical conductivity imaging. Ultrasonic vibration of a tissue in the presence of a static magnetic field induces an electrical current by the Lorentz force.…

Analysis of PDEs · Mathematics 2014-01-13 Habib Ammari , Pol Grasland-Mongrain , Pierre Millien , Laurent Seppecher , Jin-Keun Seo

Low-field (LF) magnetic resonance imaging (MRI) improves accessibility and reduces costs but generally has lower signal-to-noise ratios and degraded contrast compared to high field (HF) MRI, limiting its clinical utility. Simulating LF MRI…

Image and Video Processing · Electrical Eng. & Systems 2026-03-27 Ziqi Gao , Nicha Dvornek , Xiaoran Zhang , Gigi Galiana , Hemant Tagare , Todd Constable

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…

‹ Prev 1 2 3 10 Next ›