Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Vadim S. Zotev is active.

Publication


Featured researches published by Vadim S. Zotev.


Journal of Magnetic Resonance | 2008

Microtesla MRI of the human brain combined with MEG.

Vadim S. Zotev; Petr L. Volegov; Igor Savukov; Michelle A. Espy; John C. Mosher; John J. Gomez; Robert H. Kraus

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 quantum interference devices (SQUIDs) to directly measure magnetic fields of neuronal currents, cannot be combined with conventional high-field MRI in a single instrument. Indirect matching of MEG and MRI data leads to significant co-registration errors. A recently proposed imaging method--SQUID-based microtesla MRI--can be naturally combined with MEG in the same system to directly provide structural maps for MEG-localized sources. It enables easy and accurate integration of MEG and MRI/fMRI, because microtesla MR images can be precisely matched to structural images provided by high-field MRI and other techniques. Here we report the first images of the human brain by microtesla MRI, together with auditory MEG (functional) data, recorded using the same seven-channel SQUID system during the same imaging session. The images were acquired at 46 microT measurement field with pre-polarization at 30 mT. We also estimated transverse relaxation times for different tissues at microtesla fields. Our results demonstrate feasibility and potential of human brain imaging by microtesla MRI. They also show that two new types of imaging equipment--low-cost systems for anatomical MRI of the human brain at microtesla fields, and more advanced instruments for combined functional (MEG) and structural (microtesla MRI) brain imaging--are practical.


Journal of Magnetic Resonance | 2008

Parallel MRI at microtesla fields

Vadim S. Zotev; Petr L. Volegov; Michelle A. Espy; John C. Mosher; Robert H. Kraus

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 ultra-low fields (ULF MRI) is a new imaging approach that uses SQUID (superconducting quantum interference device) sensors to measure the spatially encoded precession of pre-polarized nuclear spin populations at microtesla-range measurement fields. In this work, parallel imaging at microtesla fields is systematically studied for the first time. A seven-channel SQUID system, designed for both ULF MRI and magnetoencephalography (MEG), is used to acquire 3D images of a human hand, as well as 2D images of a large water phantom. The imaging is performed at 46 mu T measurement field with pre-polarization at 40 mT. It is shown how the use of seven channels increases imaging field of view and improves signal-to-noise ratio for the hand images. A simple procedure for approximate correction of concomitant gradient artifacts is described. Noise propagation is analyzed experimentally, and the main source of correlated noise is identified. Accelerated imaging based on one-dimensional undersampling and 1D SENSE (sensitivity encoding) image reconstruction is studied in the case of the 2D phantom. Actual threefold imaging acceleration in comparison to single-average fully encoded Fourier imaging is demonstrated. These results show that parallel imaging methods are efficient in ULF MRI, and that imaging performance of SQUID-based instruments improves substantially as the number of channels is increased.


Superconductor Science and Technology | 2007

SQUID-based instrumentation for ultralow-field MRI

Vadim S. Zotev; Petr L. Volegov; Algis Urbaitis; Michelle A. Espy; Robert H. Kraus

Magnetic resonance imaging at ultralow 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 field. In this work, a seven-channel SQUID system designed for simultaneous 3D ULF MRI and magnetoencephalography (MEG) is described. The system includes seven second-order SQUID gradiometers characterized by magnetic field resolutions of 1.2–2.8 fT Hz−1/2. It is also equipped with five sets of coils for 3D Fourier imaging with pre-polarization. Essential technical details of the design are discussed. The systems ULF MRI performance is demonstrated by multi-channel 3D images of a preserved sheep brain acquired at 46 µT measurement field with pre-polarization at 40 mT. The imaging resolution is 2.5 mm × 2.5 mm × 5 mm. The ULF MRI images are compared to images of the same brain acquired using conventional high-field MRI. Different ways to improve imaging SNR are discussed.


Journal of Magnetic Resonance | 2009

MRI with an atomic magnetometer suitable for practical imaging applications

Igor Savukov; Vadim S. Zotev; Petr L. Volegov; Michelle A. Espy; John J. Gomez; Robert H. Kraus

Conventionally implemented MRI is performed in a strong magnetic field, typically >1T. The high fields, however, can lead to many limitations. To overcome these limitations, ultra-low field (ULF) [or microtesla] MRI systems have been proposed and implemented. To-date such systems rely on low-Tc Superconducting Quantum Interference Devices (SQUIDs) leading to the requirement of cryogens. In this letter, we report ULF-MRI obtained with a non-cryogenic atomic magnetometer. This demonstration creates opportunities for developing inexpensive and widely applicable MRI scanners.


Superconductor Science and Technology | 2010

Ultra-low-field MRI for the detection of liquid explosives

Michelle A. Espy; Mark Flynn; John J. Gomez; Christina J. Hanson; Robert H. Kraus; Per E. Magnelind; Karlene Maskaly; Shaun Newman; Tuba Owens; Mark Peters; Henrik Sandin; Igor Savukov; Larry J. Schultz; Algis Urbaitis; Petr L. Volegov; Vadim S. Zotev

Recently it has become both possible and practical to perform MR at magnetic fields from µT to mT, the so-called ultra-low field (ULF) regime. SQUID sensor technology allows for ultra-sensitive detection while pulsed pre-polarizing fields greatly enhance signal. The instrumentation allows for unprecedented flexibility in signal acquisition sequences and simplified MRI instrumentation. Here we present the results for a new application of ULF MRI and relaxometry for the detection and characterization of liquids. We briefly describe the motivation and advantages of the ULF MR approach. We then present recent results from a 7- channel ULF MRI/relaxometer system constructed to non-invasively inspect liquids at a security check-point for the presence of hazardous material. The instrument was fielded to the Albuquerque International Airport in December, 2008, and results from that endeavor are also presented.


IEEE Transactions on Applied Superconductivity | 2007

Multi-Channel SQUID System for MEG and Ultra-Low-Field MRI

Vadim S. Zotev; Andrei N. Matlachov; Petr L. Volegov; Henrik Sandin; Michelle A. Espy; John C. Mosher; Algis Urbaitis; Shaun Newman; Robert H. Kraus

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 baseline, having magnetic field resolution of 1.2-2.8 fT/radicHz . It also includes four sets of coils for 2D Fourier imaging with pre-polarization. The systems MEG performance was demonstrated by measurements of auditory evoked response. The system was also used to obtain a multi-channel 2D image of a whole human hand at the measurement field of 46 microtesla with 3 by 3 mm resolution.


Journal of Magnetic Resonance | 2010

Microtesla MRI with dynamic nuclear polarization

Vadim S. Zotev; Tuba Owens; Igor Savukov; John J. Gomez; Michelle A. Espy

Magnetic resonance imaging at microtesla fields is a promising imaging method that combines the pre-polarization technique and broadband signal reception by superconducting quantum interference device (SQUID) sensors to enable in vivo MRI at microtesla-range magnetic fields similar in strength to the Earth magnetic field. Despite significant advances in recent years, the potential of microtesla MRI for biomedical imaging is limited by its insufficient signal-to-noise ratio due to a relatively low sample polarization. Dynamic nuclear polarization (DNP) is a widely used approach that allows polarization enhancement by 2-4 orders of magnitude without an increase in the polarizing field strength. In this work, the first implementation of microtesla MRI with Overhauser DNP and SQUID signal detection is described. The first measurements of carbon-13 NMR spectra at microtesla fields are also reported. The experiments were performed at the measurement field of 96 μT, corresponding to Larmor frequency of 4 kHz for protons and 1 kHz for carbon-13. The Overhauser DNP was carried out at 3.5-5.7 mT fields using rf irradiation at 120 MHz. Objects for imaging included water phantoms and a cactus plant. Aqueous solutions of metabolically relevant sodium bicarbonate, pyruvate, alanine, and lactate, labeled with carbon-13, were used for NMR studies. All the samples were doped with TEMPO free radicals. The Overhauser DNP enabled nuclear polarization enhancement by factor as large as -95 for protons and as large as -200 for carbon-13, corresponding to thermal polarizations at 0.33 T and 1.1 T fields, respectively. These results demonstrate that SQUID-based microtesla MRI can be naturally combined with Overhauser DNP in one system, and that its signal-to-noise performance is greatly improved in this case. They also suggest that microtesla MRI can become an efficient tool for in vivo imaging of hyperpolarized carbon-13, produced by low-temperature dissolution DNP.


IEEE Transactions on Applied Superconductivity | 2009

SQUID-Based Microtesla MRI for In Vivo Relaxometry of the Human Brain

Vadim S. Zotev; Igor Savukov; Tuba Owens; Petr L. Volegov; John J. Gomez; Michelle A. Espy

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 values of the longitudinal relaxation time T1 for brain tissues, measured in vivo for the first time at microtesla fields. The experiments were performed at 46 muT field using a seven-channel SQUID system designed for microtesla MRI and MEG. Values of T1, measured for different tissues at this field, are found to be close (within 5%) to the corresponding values of the transverse relaxation time T2 at the same field. Implications of this result for imaging contrast in microtesla MRI are discussed.


IEEE Transactions on Applied Superconductivity | 2009

Applications of Ultra-Low Field Magnetic Resonance for Imaging and Materials Studies

Michelle A. Espy; Mark Flynn; John J. Gomez; Christina J. Hanson; Robert H. Kraus; Per E. Magnelind; Karlene Maskaly; Shaun Newman; Mark Peters; Henrik Sandin; Igor Savukov; Larry J. Schultz; Algis Urbaitis; Petr L. Volegov; Vadim S. Zotev

Recently it has become both possible and practical to perform MR at magnetic fields from muT to mT, the so-called ultra-low field (ULF) regime. SQUID sensor technology allows for ultra-sensitive detection while pulsed pre-polarizing fields greatly enhance signal. The instrumentation allows for unprecedented flexibility in signal acquisition sequences. Here we present the results from several applications of ULF MR which exploit the unique abilities of the method. These include novel ways to image both brain structure and function either by combination of MRI with magnetoencephalography or direct observation of the interaction of neural currents with the spin population, and ULF relaxometry for detection and characterization of materials relevant to numerous non-invasive inspection applications. We briefly describe the motivation, advantages, and recent results of several new applications of the ULF MR method. Specifically, we present recent data measuring the interaction of weak ( ~ 10 muA) currents with a spin-population in a water phantom, as studied by ULF MRI with implications for neural current imaging. We also present data from a ULF MR relaxometer developed inspecting liquids in a check-point for the presence of hazardous material.


Piers Online | 2009

SQUIDs for Magnetic Resonance Imaging at Ultra-low Magnetic Field

Vadim S. Zotev; Robert H. Kraus; Henrik Sandin; Al V. Urbaitis; Petr L. Volegov; Michelle A. Espy

Nuclear magnetic resonance methods are widely used in medicine, chemistry and industry. One application area is magnetic resonance imaging or MRI. It is among the most effective diagnostic tools in medicine. Modern medical MRI scanners use strong magnetic fields. Recently it has become possible to perform NMR and MRI in ultra-low field regime that requires measurement field strengths only of the order of 1 gauss. These ultra-low field techniques exploit the advantages offered by superconducting quantum interference devices or SQUIDs. We describe the world’s first multichannel SQUID-based instruments that are capable of performing ULF MRI for different applications.

Collaboration


Dive into the Vadim S. Zotev's collaboration.

Top Co-Authors

Avatar

Michelle A. Espy

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Robert H. Kraus

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Algis Urbaitis

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Igor Savukov

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Henrik Sandin

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar

John J. Gomez

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Shaun Newman

Los Alamos National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Andrei N. Matlachov

Los Alamos National Laboratory

View shared research outputs
Researchain Logo
Decentralizing Knowledge