Search Results - "Liang, Zhi‐Pei"

Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces by Lam, Fan, Li, Yudu, Guo, Rong, Clifford, Bryan, Liang, Zhi‐Pei

“…Purpose To develop a subspace learning method for the recently proposed subspace‐based MRSI approach known as SPICE, and achieve ultrafast 1H‐MRSI of the…”
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A subspace approach to high-resolution spectroscopic imaging by Lam, Fan, Liang, Zhi-Pei

“…Purpose To accelerate spectroscopic imaging using sparse sampling of (k,t)‐space and subspace (or low‐rank) modeling to enable high‐resolution metabolic…”
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DeepSENSE: Learning coil sensitivity functions for SENSE reconstruction using deep learning by Peng, Xi, Sutton, Bradley P., Lam, Fan, Liang, Zhi‐Pei

“…Purpose To improve the estimation of coil sensitivity functions from limited auto‐calibration signals (ACS) in SENSE‐based reconstruction for brain imaging…”
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Accelerated MR parameter mapping with low-rank and sparsity constraints by Zhao, Bo, Lu, Wenmiao, Hitchens, T. Kevin, Lam, Fan, Ho, Chien, Liang, Zhi-Pei

“…Purpose To enable accurate magnetic resonance (MR) parameter mapping with accelerated data acquisition, utilizing recent advances in constrained imaging with…”
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Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors by He, Jingfei, Liu, Qiegen, Christodoulou, Anthony G., Ma, Chao, Lam, Fan, Liang, Zhi-Pei

“…High-dimensional MR imaging often requires long data acquisition time, thereby limiting its practical applications. This paper presents a low-rank tensor based…”
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Simultaneous QSM and metabolic imaging of the brain using SPICE by Peng, Xi, Lam, Fan, Li, Yudu, Clifford, Bryan, Liang, Zhi‐Pei

“…Purpose To map brain metabolites and tissue magnetic susceptibility simultaneously using a single three‐dimensional 1H‐MRSI acquisition without water…”
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Simultaneous QSM and metabolic imaging of the brain using SPICE: Further improvements in data acquisition and processing by Guo, Rong, Zhao, Yibo, Li, Yudu, Wang, Tianyao, Li, Yao, Sutton, Brad, Liang, Zhi‐Pei

“…Purpose To achieve high‐resolution mapping of brain tissue susceptibility in simultaneous QSM and metabolic imaging. Methods Simultaneous QSM and metabolic…”
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High‐resolution sodium imaging using anatomical and sparsity constraints for denoising and recovery of novel features by Zhao, Yibo, Guo, Rong, Li, Yudu, Thulborn, Keith R., Liang, Zhi‐Pei

“…Purpose To develop and evaluate a novel method for reconstruction of high‐quality sodium MR images from noisy, limited k‐space data. Theory and Methods A novel…”
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Model-Based MR Parameter Mapping With Sparsity Constraints: Parameter Estimation and Performance Bounds by Zhao, Bo, Lam, Fan, Liang, Zhi-Pei

“…Magnetic resonance parameter mapping (e.g., T 1 mapping, T 2 mapping, T 2 * mapping) is a valuable tool for tissue characterization. However, its practical…”
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Simultaneous metabolic and functional imaging of the brain using SPICE by Guo, Rong, Zhao, Yibo, Li, Yudu, Li, Yao, Liang, Zhi‐Pei

“…Purpose To enable simultaneous high‐resolution mapping of brain function and metabolism. Methods An encoding scheme was designed for interleaved acquisition of…”
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Improved estimation of myelin water fractions with learned parameter distributions by Li, Yudu, Xiong, Jiahui, Guo, Rong, Zhao, Yibo, Li, Yao, Liang, Zhi‐Pei

“…Purpose To improve estimation of myelin water fraction (MWF) in the brain from multi‐echo gradient‐echo imaging data. Methods A systematic sensitivity analysis…”
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Accelerating T2 mapping of the brain by integrating deep learning priors with low‐rank and sparse modeling by Meng, Ziyu, Guo, Rong, Li, Yudu, Guan, Yue, Wang, Tianyao, Zhao, Yibo, Sutton, Brad, Li, Yao, Liang, Zhi‐Pei

“…Purpose To accelerate T2 mapping with highly sparse sampling by integrating deep learning image priors with low‐rank and sparse modeling. Methods The proposed…”
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Compressed-Sensing MRI With Random Encoding by Haldar, J P, Hernando, D, Zhi-Pei Liang

“…Compressed sensing (CS) has the potential to reduce magnetic resonance (MR) data acquisition time. In order for CS-based imaging schemes to be effective, the…”
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Optimization of 3D dynamic speech MRI: Poisson‐disc undersampling and locally higher‐rank reconstruction through partial separability model with regional optimized temporal basis by Jin, Riwei, Li, Yudu, Shosted, Ryan K., Xing, Fangxu, Gilbert, Imani, Perry, Jamie L., Woo, Jonghye, Liang, Zhi‐Pei, Sutton, Bradley P.

“…Purpose To improve the spatiotemporal qualities of images and dynamics of speech MRI through an improved data sampling and image reconstruction approach…”
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A Subspace Approach to Spectral Quantification for MR Spectroscopic Imaging by Li, Yudu, Lam, Fan, Clifford, Bryan, Liang, Zhi-Pei

“…Objective: To provide a new approach to spectral quantification for magnetic resonance spectroscopic imaging (MRSI), incorporating both spatial and spectral…”
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B1 mapping using pre‐learned subspaces for quantitative brain imaging by Zhang, Tianxiao, Zhao, Yibo, Jin, Wen, Li, Yudu, Guo, Rong, Ke, Ziwen, Luo, Jie, Li, Yao, Liang, Zhi‐Pei

“…Purpose To develop a machine learning‐based method for estimation of both transmitter and receiver B1 fields desired for correction of the B1 inhomogeneity…”
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Enhancing linguistic research through 2‐mm isotropic 3D dynamic speech MRI optimized by sparse temporal sampling and low‐rank reconstruction by Jin, Riwei, Shosted, Ryan K., Xing, Fangxu, Gilbert, Imani R., Perry, Jamie L., Woo, Jonghye, Liang, Zhi‐Pei, Sutton, Bradley P.

“…Purpose To enable a more comprehensive view of articulations during speech through near‐isotropic 3D dynamic MRI with high spatiotemporal resolution and large…”
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JSENSE‐Pro: Joint sensitivity estimation and image reconstruction in parallel imaging using pre‐learned subspaces of coil sensitivity functions by Tang, Lihong, Zhao, Yibo, Li, Yudu, Guo, Rong, Cai, Bingyang, Wang, Jia, Li, Yao, Liang, Zhi‐Pei, Peng, Xi, Luo, Jie

“…Purpose To improve calibrationless parallel imaging using pre‐learned subspaces of coil sensitivity functions. Theory and Methods A subspace‐based joint…”
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Chemical shift-based water/fat separation: A comparison of signal models by Hernando, Diego, Liang, Zhi-Pei, Kellman, Peter

“…Quantitative water/fat separation in MRI requires careful modeling of the acquired signal. Multiple signal models have been proposed in recent years, but their…”
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Macromolecule mapping of the brain using ultrashort‐TE acquisition and reference‐based metabolite removal by Lam, Fan, Li, Yudu, Clifford, Bryan, Liang, Zhi‐Pei

“…Purpose To develop a practical method for mapping macromolecule distribution in the brain using ultrashort‐TE MRSI data. Methods An FID‐based chemical shift…”
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