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Search Publications by: Solomon I Woods (Fed)

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Displaying 1 - 25 of 60

Parallel 3D Temperature Image Reconstruction Using Multi-Color Magnetic Particle Imaging (MPI)

October 18, 2024
Author(s)
Klaus Natorf Quelhas, Mark-Alexander Henn, Ricardo Cordeiro de Farias, Weston L. Tew, Solomon I. Woods
Magnetic Particle Imaging (MPI) is a novel technique developed for remotely detecting magnetic nanoparticle (MNP) tracers, with great potential for biomedical imaging (as an alternative to traditional methods like MRI or CT), cell tracking, targeted drug

GPU-accelerated parallel image reconstruction strategies for magnetic particle imaging

June 24, 2024
Author(s)
Klaus Natorf Quelhas, Mark-Alexander Henn, Ricardo Farias, Weston L. Tew, Solomon I. Woods
Image reconstruction is a fundamental step in Magnetic Particle Imaging (MPI). Since it was developed, several methods have been studied to perform more efficient and accurate reconstructions. One of the challenges of MPI is the fact that the

Harmonic dependence of thermal magnetic particle imaging

September 22, 2023
Author(s)
Thinh Bui, Mark-Alexander Henn, Weston L. Tew, Megan Catterton, Solomon I. Woods
Advances in instrumentation and tracer materials are still required to enable sensitive and accurate 3D temperature monitoring by magnetic particle imaging. We have developed a magnetic particle imaging instrument to observe temperature variations using

Investigating the Harmonic Dependence of MPI Resolution

March 19, 2023
Author(s)
Mark-Alexander Henn, Thinh Bui, Solomon I. Woods
In this work we investigate how the MPI resolution changes as a function of signal harmonics. Based on a simulation study that models a lock-in measurement of the point spread function we apply our findings to actual measurement data obtained from NIST's

Investigating the Influence of Sampling Frequency on X-Space MPI Image Reconstructions

March 19, 2023
Author(s)
Mark-Alexander Henn, Klaus Natorf Quelhas, Solomon I. Woods
In this presentation we employ a direct X-space deconvolution to estimate particle distributions from MPI data. We report on how the accuracy of those estimations changes as a function of sampling frequency and compare the findings to the MPI core operator

Parallel MPI image reconstructions in GPU using CUDA

March 19, 2023
Author(s)
Klaus Natorf Quelhas, Mark-Alexander Henn, Ricardo Farias, Weston L. Tew, Solomon I. Woods
This work shows that it is possible to obtain faster MPI image reconstructions by implementing the algorithms in parallel in Graphics Processing Units (GPUs) using NVIDIA's CUDA (Compute Unified Device Architecture). While the parallel Kaczmarz's algorithm

Thermosensitivity Through Exchange Coupling in Ferrimagnetic/Antiferromagnetic Nano-Objects for Magnetic Based Thermometry

March 6, 2023
Author(s)
Frank Abel, Eduardo De Lima Correa, Adam Biacchi, Thinh Bui, Solomon I. Woods, Angela R. Hight Walker, Cindi L. Dennis
Temperature is a fundamental physical quantity important to the physical and biological sciences. Measurement of temperature within an optically inaccessible three-dimensional (3D) volume at microscale resolution is currently limited. Thermal magnetic

Generalized Electrical Substitution Methods and Detectors for Absolute Optical Power Measurements

June 17, 2022
Author(s)
Solomon I. Woods, Jorge Neira, James E. Proctor, Joseph P. Rice, Nathan Tomlin, Malcolm White, Michelle Stephens, John H. Lehman
We have developed generalized methods for electrical substitution optical measurements, as well as cryogenic detectors which can be used to implement them. The new methods enable measurement of arbitrary periodic waveforms by an electrical substitution

Flexible Software for Rigorous Simulations of Magnetic Particle Imaging Systems

March 21, 2022
Author(s)
Klaus Natorf Quelhas, Mark-Alexander Henn, Thinh Bui, Hunter Wages, Weston L. Tew, Solomon I. Woods
Modeling of Magnetic Particle Imaging (MPI) systems allows for developing and testing novel methods for image reconstruction and simulating various setups without the need of real-life measurement data. Here we describe the the initial development of a C++

Uncertainty estimation for 2D magnetic particle imaging

March 21, 2022
Author(s)
Mark-Alexander Henn, Klaus Natorf Quelhas, Solomon I. Woods
Magnetic Particle Imaging (MPI) has in recent years been established as a powerful imaging tool that measures thenon-linear magnetic response of magnetic particles to an applied field. Obtaining quantitative information fromthese images in the form of a

Advanced characterization of magnetization dynamics in iron oxide magnetic nanoparticle tracers

January 5, 2022
Author(s)
Thinh Bui, Adam Biacchi, Brianna Bosch Correa, Cindi L. Dennis, Weston L. Tew, Angela R. Hight Walker, Solomon I. Woods
Characterization of the magnetization dynamics of single-domain magnetic nanoparticles (MNPs) is important for magnetic particle imaging (MPI), magnetic resonance imaging (MRI), and emerging medical diagnostic/therapeutic technologies. Depending on

Design, calibration, and application of a cryogenic low-background infrared radiometer for spectral irradiance and radiance measurements from 4 um to 20 um wavelength

March 2, 2021
Author(s)
Simon G. Kaplan, Solomon Woods, Eric L. Shirley, Adriaan C. Carter, Timothy M. Jung, James E. Proctor, Dale R. Sears, Jinan Zeng
We have constructed, calibrated, and tested a cryogenic low-background infrared radiometer for both spectral radiance and irradiance measurements over the 4 um to 20 um wavelength range. The radiometer has been used to compare two primary methods for

Design and Engineering Colloidal Magnetic Particles for Nanoscale Thermometry

September 2, 2020
Author(s)
Adam J. Biacchi, Thinh Q. Bui, Cindi L. Dennis, Solomon I. Woods, Angela R. Hight Walker
Thermometry based on magnetic nanoparticles (MNPs) is an emerging technology that allows for remote temperature measurements throughout a volume that are impossible to achieve using conventional probe-based or optical methods. This metrology is based on

Nano-kelvin DC and AC Meissner-TES Thermometry

February 4, 2019
Author(s)
Solomon I. Woods, Adriaan C. Carter, Timothy M. Jung, Dana R. Defibaugh
The Meissner-TES is a relatively new type of high resolution cryogenic thermometer based upon a transition edge sensor (TES) which employs the magnetic transition of a superconductor to measure temperature. We have improved the signal-to-noise for DC

Characterisation of New Planar Radiometric Detectors using Carbon Nanotube Absorbers under Development at NIST

June 13, 2018
Author(s)
Malcolm G. White, Nathan A. Tomlin, Christopher S. Yung, Michelle S. Stephens, Ivan Ryger, Solomon I. Woods, John H. Lehman, Igor Vayshenker
Carbon nanotube technology, in conjunction with silicon micro-fabrication techniques, has enabled us to develop planar radiometric detectors, which has led to the establishment of a new generation of primary standards. The goal is to develop compact, fast