M Lyu
University of Hong Kong
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Publication
Featured researches published by M Lyu.
Magnetic Resonance in Medicine | 2017
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
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
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
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
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
Z Xu; M Lyu; Sk Hui; Y Mei; Z Chen; Wufan Chen; Yanqiu Feng
Archive | 2018
Y Liu; M Lyu
IEEE Transactions on Biomedical Engineering | 2018
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
Jun Xie; M Lyu; Jian Zhang; Edward S. Hui; Ze Wang
Archive | 2016
M Lyu; Y Liu; Vb Xie; Yanqiu Feng; Z Zhang; Hua Guo