Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Megan E. Poorman"'
Autor:
Samuel D. Oberdick, Kalina V. Jordanova, John T. Lundstrom, Giacomo Parigi, Megan E. Poorman, Gary Zabow, Kathryn E. Keenan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract We have investigated the efficacy of superparamagnetic iron oxide nanoparticles (SPIONs) as positive T1 contrast agents for low-field magnetic resonance imaging (MRI) at 64 millitesla (mT). Iron oxide-based agents, such as the FDA-approved f
Externí odkaz:
https://doaj.org/article/53da39628a62492fa5af7c6d9556eda2
Autor:
Kalina V. Jordanova, Michele N. Martin, Stephen E. Ogier, Megan E. Poorman, Kathryn E. Keenan
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine.
Objective To measure healthy brain $${T}_{1}$$ T 1 and $${T}_{2}$$ T 2 relaxation times at 0.064 T. Materials and methods $${T}_{1}$$ T 1 and $${T}_{2}$$ T 2 relaxation times were measured in vivo for 10 healthy volunteers using a 0.064 T magnetic re
Autor:
Prathyush Chirra, Jana G. Delfino, Nandita M. deSouza, Kathryn E. Keenan, Kalina V. Jordanova, Satish Viswanath, Megan E. Poorman, Akshay S. Chaudhari, Bettina Baessler, Jessica M. Winfield
Publikováno v:
Med Phys
Image quantitation methods including quantitative MRI, multiparametric MRI, and radiomics offer great promise for clinical use. However, many of these methods have limited clinical adoption, in part due to issues of generalizability, that is, the abi
Publikováno v:
Soft Matter
We show that magnetic resonance imaging (MRI) can be used to visualize the spatiotemporal dynamics of iron oxide nanoparticle growth within a hydrogel network during in situ coprecipitation. The synthesis creates a magnetic nanoparticle loaded polyme
Autor:
Michele N. Martin, Kathryn E. Keenan, Debra McGivney, Mark A. Griswold, Megan E. Poorman, Dan Ma, Vikas Gulani
Publikováno v:
Journal of Magnetic Resonance Imaging. 51:675-692
Magnetic resonance fingerprinting (MRF) is a powerful quantitative MRI technique capable of acquiring multiple property maps simultaneously in a short timeframe. The MRF framework has been adapted to a wide variety of clinical applications, but faces
Publikováno v:
Magnetic Resonance in Medicine, 81(4), 2385. John Wiley and Sons Inc.
PURPOSE: To perform multi-echo water/fat separated proton resonance frequency (PRF)-shift temperature mapping. METHODS: State-of-the-art, iterative multi-echo water/fat separation algorithms produce high-quality water and fat images in the absence of
Publikováno v:
Magnetic Resonance in Medicine. 78:2299-2306
Purpose To improve the precision of proton resonance frequency-shift magnetic resonance thermometry near ablation probes by recovering near-probe image signals that are typically lost due to magnetic susceptibility-induced field distortions. Methods
Autor:
Mohit Ganguly, Jeremy B. Ford, Hillel J. Chiel, E. Duco Jansen, Michael W. Jenkins, William A. Grissom, Megan E. Poorman
Background and objectives The objective of this study is to assess the hypothesis that the length of axon heated, defined here as block length (BL), affects the temperature required for thermal inhibition of action potential propagation applied using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37c2a21197da00c15beb238bdc0a636c
https://europepmc.org/articles/PMC6981060/
https://europepmc.org/articles/PMC6981060/
Autor:
Yun Jiang, Rasim Boyacioğlu, Nicole Seiberlich, Vikas Gulani, Kathryn E. Keenan, Megan E. Poorman, Mark A. Griswold, Dan Ma, Debra McGivney
Publikováno v:
Journal of magnetic resonance imaging : JMRI. 51(4)
Magnetic resonance fingerprinting (MRF) is a general framework to quantify multiple MR-sensitive tissue properties with a single acquisition. There have been numerous advances in MRF in the years since its inception. In this work we highlight some of
Treating Epilepsy via Thermal Ablation: Initial Experiments With an MRI-Guided Concentric Tube Robot
Autor:
Robert J. Webster, Cindy Lin Liu, Yue Chen, Isuru S. Godage, Hong Yu, E. Bryn Pitt, Megan E. Poorman, Eric J. Barth, William A. Grissom, David B. Comber
Publikováno v:
2017 Design of Medical Devices Conference.
Epilepsy is a prevalent neurological disorder affecting 65 million people globally [1]. Anti-epileptic medications fail to provide effective seizure control for 30% of patients, placing them at a 7–17% risk of Sudden Unexplained Death in Epilepsy a