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Dive into the research topics where M Lyu is active.

Publication


Featured researches published by M Lyu.


Magnetic Resonance in Medicine | 2017

EPI Nyquist ghost and geometric distortion correction by two-frame phase labeling

Vb Xie; M Lyu

To develop a new Nyquist ghost and geometric distortion correction method in echo planar imaging (EPI) using parallel imaging.


Magnetic Resonance in Medicine | 2018

Robust EPI Nyquist ghost removal by incorporating phase error correction with sensitivity encoding (PEC-SENSE)

Vb Xie; M Lyu; Y Liu; Yanqiu Feng

The existing approach of Nyquist ghost correction by parallel imaging in echo planar imaging (EPI) can suffer from image noise amplification. We propose a method that estimates a phase error map from multi‐channel data itself and incorporates it into the sensitivity encoding (SENSE) reconstruction for Nyquist ghost correction without compromising the image SNR.


Magnetic Resonance in Medicine | 2018

Robust SENSE reconstruction of simultaneous multislice EPI with low-rank enhanced coil sensitivity calibration and slice-dependent 2D Nyquist ghost correction

M Lyu; Markus Barth; Vb Xie; Y Liu; Xin Ma; Yanqiu Feng

To improve simultaneous multislice (SMS) EPI by robust Nyquist ghost correction in both coil sensitivity calibration and SMS reconstruction.


Scientific Reports | 2017

A New Joint-Blade SENSE Reconstruction for Accelerated PROPELLER MRI.

M Lyu; Y Liu; Vb Xie; Yanqiu Feng; Hua Guo

PROPELLER technique is widely used in MRI examinations for being motion insensitive, but it prolongs scan time and is restricted mainly to T2 contrast. Parallel imaging can accelerate PROPELLER and enable more flexible contrasts. Here, we propose a multi-step joint-blade (MJB) SENSE reconstruction to reduce the noise amplification in parallel imaging accelerated PROPELLER. MJB SENSE utilizes the fact that PROPELLER blades contain sharable information and blade-combined images can serve as regularization references. It consists of three steps. First, conventional blade-combined images are obtained using the conventional simple single-blade (SSB) SENSE, which reconstructs each blade separately. Second, the blade-combined images are employed as regularization for blade-wise noise reduction. Last, with virtual high-frequency data resampled from the previous step, all blades are jointly reconstructed to form the final images. Simulations were performed to evaluate the proposed MJB SENSE for noise reduction and motion correction. MJB SENSE was also applied to both T2-weighted and T1-weighted in vivo brain data. Compared to SSB SENSE, MJB SENSE greatly reduced the noise amplification at various acceleration factors, leading to increased image SNR in all simulation and in vivo experiments, including T1-weighted imaging with short echo trains. Furthermore, it preserved motion correction capability and was computationally efficient.


Magnetic Resonance in Medicine | 2018

PEC-GRAPPA reconstruction of simultaneous multislice EPI with slice-dependent 2D Nyquist ghost correction: Liu et al.

Y Liu; M Lyu; Markus Barth; Zheyuan Yi; Alex T. L. Leong; Fei Chen; Yanqiu Feng

To provide simultaneous multislice (SMS) EPI reconstruction with k‐space implementation and robust Nyquist ghost correction.


Archive | 2017

Motion correction for Magnetic Resonance Fingerprinting by using Sliding-Window Reconstruction and Image Registration

Z Xu; M Lyu; Sk Hui; Y Mei; Z Chen; Wufan Chen; Yanqiu Feng


Archive | 2018

Improved Parallel Imaging Reconstruction of EPI using Inversely Distortion Corrected FLASH as Calibration Data

Y Liu; M Lyu


IEEE Transactions on Biomedical Engineering | 2018

Magnetic Resonance Fingerprinting using A Fast Dictionary Searching Algorithm: MRF-ZOOM

Ze Wang; Jian Zhang; Di Cui; Jun Xie; M Lyu; Edward S. Hui


international conference of the ieee engineering in medicine and biology society | 2017

Fast dictionary generation and searching for magnetic resonance fingerprinting

Jun Xie; M Lyu; Jian Zhang; Edward S. Hui; Ze Wang


Archive | 2016

Improved in-plane SENSE PROPELLER with multi-step joint-blade reconstruction

M Lyu; Y Liu; Vb Xie; Yanqiu Feng; Z Zhang; Hua Guo

Collaboration


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Y Liu

University of Hong Kong

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Vb Xie

University of Hong Kong

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Yanqiu Feng

Southern Medical University

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Pp Gao

University of Hong Kong

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Z Zhang

University of Hong Kong

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Markus Barth

University of Queensland

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Jian Yang

Xi'an Jiaotong University

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