8 citations · 11 across the 9 of their papers we have counts for
9 papers
Laplace-Mixture Dipole Inversion for Quantitative Susceptibility Mapping
Shuai Huang, James J. Lah, Jason W. Allen +1
Purpose: To develop an automatic dipole inversion method for quantitative susceptibility mapping (QSM) that preserves fine anatomical structures without the need for manual regular…
Improving the Test-retest Reliability of Quantitative Susceptibility Mapping
Shuai Huang, Thomas Denney, Deqiang Qiu
Motivation - The test-retest reliability of quantitative susceptibility mapping (QSM) is affected by parameters of the acquisition protocol such as the angulation of acquisition pl…
A deep spatio-temporal attention model of dynamic functional network connectivity shows sensitivity to Alzheimer's in asymptomatic individuals
Yuxiang Wei, Anees Abrol, James Lah +2
Alzheimer's disease (AD) progresses from asymptomatic changes to clinical symptoms, emphasizing the importance of early detection for proper treatment. Functional magnetic resonanc…
Motion and temporal B0 shift corrections for quantitative susceptibility mapping (QSM) and R2* mapping using dual-echo spiral navigators and conjugate-phase reconstruction
Yuguang Meng, Jason W. Allen, Vahid Khalilzad Sharghi +1
Purpose: To develop an efficient navigator-based motion and temporal B0 shift correction technique for 3D multi-echo gradient-echo (ME-GRE) MRI for quantitative susceptibility mapp…
Model-based T1, T2* and Proton Density Mapping Using a Bayesian Approach with Parameter Estimation and Complementary Undersampling Patterns
Shuai Huang, James J. Lah, Jason W. Allen +1
Purpose: To achieve automatic hyperparameter estimation for the joint recovery of quantitative MR images, we propose a Bayesian formulation of the reconstruction problem that incor…
Concentric Tube Robot Redundancy Resolution via Velocity/Compliance Manipulability Optimization
Jia Shen, Yifan Wang, Milad Azizkhani +2
Concentric Tube Robots (CTR) have the potential to enable effective minimally invasive surgeries. While extensive modeling and control schemes have been proposed in the past decade…
Robust Quantitative Susceptibility Mapping via Approximate Message Passing with Parameter Estimation
Shuai Huang, James J. Lah, Jason W. Allen +1
Purpose: For quantitative susceptibility mapping (QSM), the lack of ground-truth in clinical settings makes it challenging to determine suitable parameters for the dipole inversion…
Approximate Message Passing with Parameter Estimation for Heavily Quantized Measurements
Shuai Huang, Deqiang Qiu, Trac D. Tran
Designing efficient sparse recovery algorithms that could handle noisy quantized measurements is important in a variety of applications -- from radar to source localization, spectr…
A Probabilistic Bayesian Approach to Recover map and Phase Images for Quantitative Susceptibility Mapping
Shuai Huang, James J. Lah, Jason W. Allen +1
Purpose: Undersampling is used to reduce the scan time for high-resolution 3D magnetic resonance imaging. In order to achieve better image quality and avoid manual parameter tuning…