activity
20152023
most citedA Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging

257 citations · 476 across the 8 of their papers we have counts for

collaborators

9 papers

eess.IV2023

Accelerated MR Fingerprinting with Low-Rank and Generative Subspace Modeling

Hengfa Lu, Huihui Ye, Lawrence L. Wald +1

Magnetic Resonance (MR) Fingerprinting is an emerging multi-parametric quantitative MR imaging technique, for which image reconstruction methods utilizing low-rank and subspace con…

cs.CV2021★ 15 cited

Rapid head-pose detection for automated slice prescription of fetal-brain MRI

Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski +8

In fetal-brain MRI, head-pose changes between prescription and acquisition present a challenge to obtaining the standard sagittal, coronal and axial views essential to clinical ass…

eess.IV2021

External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI

Sai Abitha Srinivas, Stephen F Cauley, Jason P Stockmann +5

Purpose: Point-of-care MRI requires operation outside of a faraday shielded room normally used to block image-degrading electromagnetic Interference (EMI). To address this, we intr…

eess.IV2020★ 257 cited

A Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging

Clarissa Z. Cooley, Patrick C. McDaniel, Jason P. Stockmann +9

Access to and availability of MRI scanners is typically limited by their cost, siting and infrastructure requirements. This precludes MRI diagnostics, the reference standard for ne…

physics.med-ph2018★ 47 cited

High-fidelity, high-isotropic resolution diffusion imaging through gSlider acquisition with B1+ & T1 corrections and integrated ΔB0/Rx shim array

Congyu Liao, Jason Stockmann, Qiyuan Tian +6

Purpose: B1+ and T1 corrections and dynamic multi-coil shimming approaches were proposed to improve the fidelity of high isotropic resolution Generalized slice dithered enhanced re…

eess.IV2018★ 1 cited

Highly Accelerated Multishot EPI through Synergistic Machine Learning and Joint Reconstruction

Berkin Bilgic, Itthi Chatnuntawech, Mary Kate Manhard +7

Purpose: To introduce a combined machine learning (ML) and physics-based image reconstruction framework that enables navigator-free, highly accelerated multishot echo planar imagin…

eess.SP2017★ 128 cited

Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

Bo Zhao, Justin P. Haldar, Congyu Liao +5

Magnetic resonance (MR) fingerprinting is a new quantitative imaging paradigm, which simultaneously acquires multiple MR tissue parameter maps in a single experiment. In this paper…

physics.med-ph2016

Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison

Uran Ferizi, Benoit Scherrer, Torben Schneider +20

A large number of mathematical models have been proposed to describe the measured signal in diffusion-weighted (DW) magnetic resonance imaging (MRI) and infer properties about the…

q-bio.NC2015★ 28 cited

Signal Fluctuation Sensitivity: an improved metric for optimizing detection of resting-state fMRI networks

D. J. DeDora, S. Nedic, P. Katti +6

Task-free connectivity analyses have emerged as a powerful tool in functional neuroimaging. Because the cross-correlations that underlie connectivity measures are sensitive to dist…