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Xin Liu

Publications
59
Citations
597
Publications by Year
20102025
Co-Authors:
Show All Co-Authors (181)
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Xin Liu

Affiliation

National Innovation Center for Advanced Medical Devices
Shenzhen
Guangdong, China

Publication Topics

Biography

Xin Liu received his Ph.D. degree in imaging and nuclear medicine from PLA General Hospital, China, in 2006. He is currently a Professor in the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research interests include magnetic resonance imaging technology.(Based on document published on 29 May 2020).
Publications
59
Citations
597
Publications by Year
20102025
Co-Authors:
Show All Co-Authors (181)
Author's Published Works

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A Quadruple-Tuned RF Coil System for ¹H/¹⁹F/²³Na/³¹P Synchronous MR Imaging and Spectroscopy at 3 T

Xing Yang;Feng Du;Zekang Ding;Bei Liu;Kai Wang;Liwen Wan;Yiping P. Du;Xiaoliang Zhang;Xin Liu;Hairong Zheng;Nan Li;Ye Li

IEEE Transactions on Instrumentation and Measurement
Year: 2025 | Volume: 74 | Journal Article |
The simultaneous acquisition of biological information at different levels of tumor molecular targets, energy metabolism, ion perturbations, and structural function is significant for tumor research, as magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) are crucial tools for comprehensive characterization of tumor pathology and monitoring tumor treatment response. As a crit...Show More

A Quadruple-Tuned RF Coil System for ¹H/¹⁹F/²³Na/³¹P Synchronous MR Imaging and Spectroscopy at 3 T

Xing Yang;Feng Du;Zekang Ding;Bei Liu;Kai Wang;Liwen Wan;Yiping P. Du;Xiaoliang Zhang;Xin Liu;Hairong Zheng;Nan Li;Ye Li

Year: 2025 | Volume: 74 | Journal Article |

A Sparse 2-D Magnetic Inversion Method for Subsurface Target Classification

Yaxin Mu;Luzhao Chen;Xin Liu

IEEE Geoscience and Remote Sensing Letters
Year: 2025 | Volume: 22 | Journal Article |
Magnetic inversion plays an important role in target classification and recognition. However, traditional magnetic susceptibility inversion methods often fall into local minima, and require high storage space and computing power. This letter proposes a novel 2-D magnetic inversion method for compact ferrous targets, the 3-D object is projected onto a 2-D inversion plane and a linear inversion mode...Show More

A Sparse 2-D Magnetic Inversion Method for Subsurface Target Classification

Yaxin Mu;Luzhao Chen;Xin Liu

Year: 2025 | Volume: 22 | Journal Article |

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI

Zhuo-Xu Cui;Chentao Cao;Yue Wang;Sen Jia;Jing Cheng;Xin Liu;Hairong Zheng;Dong Liang;Yanjie Zhu

IEEE Transactions on Medical Imaging
Year: 2025 | Volume: 44, Issue: 2 | Journal Article |
Diffusion models have emerged as a leading methodology for image generation and have proven successful in the realm of magnetic resonance imaging (MRI) reconstruction. However, existing reconstruction methods based on diffusion models are primarily formulated in the image domain, making the reconstruction quality susceptible to inaccuracies in coil sensitivity maps (CSMs). k-space interpolation me...Show More

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI

Zhuo-Xu Cui;Chentao Cao;Yue Wang;Sen Jia;Jing Cheng;Xin Liu;Hairong Zheng;Dong Liang;Yanjie Zhu

Year: 2025 | Volume: 44, Issue: 2 | Journal Article |

Optimization of Hemolytic Performance for Blood Pump Based on Temperature Field Analysis and Three Control Strategies

Xin Liu;Hongyi Qu;Lingwei Meng;Chuangxin Huang;Qiuliang Wang

IEEE Transactions on Applied Superconductivity
Year: 2024 | Volume: 34, Issue: 8 | Journal Article |
Blood pumps are the most important medical devices for treating heart failure. Haemolysis is an important factor affecting the performance of blood pumps. Excessive temperatures can damage red blood cells, thereby reducing blood compatibility. To solve the problem of haemolysis caused by temperature increase in an electromagnetic suspended blood pump, the influence of temperature increase in an el...Show More

Optimization of Hemolytic Performance for Blood Pump Based on Temperature Field Analysis and Three Control Strategies

Xin Liu;Hongyi Qu;Lingwei Meng;Chuangxin Huang;Qiuliang Wang

Year: 2024 | Volume: 34, Issue: 8 | Journal Article |

Deep Generalized Learning Model for PET Image Reconstruction

Qiyang Zhang;Yingying Hu;Yumo Zhao;Jing Cheng;Wei Fan;Debin Hu;Fuxiao Shi;Shuangliang Cao;Yun Zhou;Yongfeng Yang;Xin Liu;Hairong Zheng;Dong Liang;Zhanli Hu

IEEE Transactions on Medical Imaging
Year: 2024 | Volume: 43, Issue: 1 | Journal Article |
Cited by: Papers (4)
Low-count positron emission tomography (PET) imaging is challenging because of the ill-posedness of this inverse problem. Previous studies have demonstrated that deep learning (DL) holds promise for achieving improved low-count PET image quality. However, almost all data-driven DL methods suffer from fine structure degradation and blurring effects after denoising. Incorporating DL into the traditi...Show More

Deep Generalized Learning Model for PET Image Reconstruction

Qiyang Zhang;Yingying Hu;Yumo Zhao;Jing Cheng;Wei Fan;Debin Hu;Fuxiao Shi;Shuangliang Cao;Yun Zhou;Yongfeng Yang;Xin Liu;Hairong Zheng;Dong Liang;Zhanli Hu

Year: 2024 | Volume: 43, Issue: 1 | Journal Article |

Distributed wireless radar system with application to through the wall radar

Yaxin Mu;Xin Liu;Shengbo Ye;Haibin Zhu

IET International Radar Conference (IRC 2023)
Year: 2023 | Conference Paper |
Nowadays, distributed radar network system has become a hot research issue because its performance is superior to monostatic radar in target positioning accuracy, detection probability, detection range. The distributed radar network is made up of N(N>=2) active radar nodes, and each radar has its own clock, therefore, time synchronization is important issue for cooperative detection. In this paper...Show More

Distributed wireless radar system with application to through the wall radar

Yaxin Mu;Xin Liu;Shengbo Ye;Haibin Zhu

Year: 2023 | Volume: 2023 | Conference Paper |

Temperature Rise Influence Law and Temperature Optimization of Motor for the Electromagnetic Suspension Artificial Heart

Xin Liu;Hongyi Qu;Lingwei Meng;Chuangxin Huang;Qiuliang Wang

2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD)
Year: 2023 | Conference Paper |
Hemolysis is an important factor affecting the performance of artificial heart. Excessive temperature can damage red blood cells, thereby reducing blood compatibility. To solve the problem of hemolysis caused by the temperature rise of an electromagnetic suspended artificial heart, the influence of the temperature rise of an electromagnetic suspended artificial heart motor was studied in this pape...Show More

Temperature Rise Influence Law and Temperature Optimization of Motor for the Electromagnetic Suspension Artificial Heart

Xin Liu;Hongyi Qu;Lingwei Meng;Chuangxin Huang;Qiuliang Wang

Year: 2023 | Conference Paper |

A Multi-Task Framework for Infrared Small Target Detection and Segmentation

Yuhang Chen;Liyuan Li;Xin Liu;Xiaofeng Su

IEEE Transactions on Geoscience and Remote Sensing
Year: 2022 | Volume: 60 | Journal Article |
Cited by: Papers (28)
Due to the complicated background and noise of infrared images, infrared small target detection is one of the most difficult problems in the field of computer vision. In most existing studies, semantic segmentation methods are typically used to achieve better results. The centroid of each target is calculated from the segmentation map as the detection result. In contrast, we propose a novel end-to...Show More

A Multi-Task Framework for Infrared Small Target Detection and Segmentation

Yuhang Chen;Liyuan Li;Xin Liu;Xiaofeng Su

Year: 2022 | Volume: 60 | Journal Article |

An Experimental Study on the Passive Shimming in the 0.5 T Superconducting MRI Magnet

Hongyi Qu;Hui Wang;Qi Chen;Cong Wang;Xin Liu;Qiuliang Wang

IEEE Transactions on Applied Superconductivity
Year: 2022 | Volume: 32, Issue: 7 | Journal Article |
Cited by: Papers (1)
For the superconducting magnetic resonance imaging (MRI) magnet, passive shimming technique in low field is more complicated than that in high field, due to the unsaturated magnetization of the used shim pieces and other issues, such as the oversized minimum shim piece and insufficient accuracy. For common problems of the MRI magnets and the special problems caused by low field, an experimental st...Show More

An Experimental Study on the Passive Shimming in the 0.5 T Superconducting MRI Magnet

Hongyi Qu;Hui Wang;Qi Chen;Cong Wang;Xin Liu;Qiuliang Wang

Year: 2022 | Volume: 32, Issue: 7 | Journal Article |

Precise and Fast Segmentation of Offshore Farms in High-Resolution SAR Images Based on Model Fusion and Half-Precision Parallel Inference

Chuang Yu;Yunpeng Liu;Xin Xia;Deyan Lan;Xin Liu;Shuhang Wu

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2022 | Volume: 15 | Journal Article |
Cited by: Papers (6)
In aquaculture, using high-resolution synthetic aperture radar (SAR) images to precisely segment offshore farms is helpful for reasonable layout planning and statistics of breeding density. However, conventional segmentation methods tend to have low accuracy and slow inference speed. Therefore, we propose a novel, precise, and fast segmentation scheme for offshore farms in high-resolution SAR imag...Show More

Precise and Fast Segmentation of Offshore Farms in High-Resolution SAR Images Based on Model Fusion and Half-Precision Parallel Inference

Chuang Yu;Yunpeng Liu;Xin Xia;Deyan Lan;Xin Liu;Shuhang Wu

Year: 2022 | Volume: 15 | Journal Article |

Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection

Chuang Yu;Yunpeng Liu;Shuhang Wu;Xin Xia;Zhuhua Hu;Deyan Lan;Xin Liu

IEEE Geoscience and Remote Sensing Letters
Year: 2022 | Volume: 19 | Journal Article |
Cited by: Papers (15)
Infrared small target suffers from the lack of intrinsic features, context, and samples. Conventional detection methods are usually unable to sufficiently and effectively extract the features of infrared small targets. Therefore, we propose a novel attention-based local contrast learning network (ALCL-Net). Considering the scarcity of intrinsic features of infrared small targets, we propose ResNet...Show More

Pay Attention to Local Contrast Learning Networks for Infrared Small Target Detection

Chuang Yu;Yunpeng Liu;Shuhang Wu;Xin Xia;Zhuhua Hu;Deyan Lan;Xin Liu

Year: 2022 | Volume: 19 | Journal Article |

Design and Implementation of Low-Cost Distributed Tabletop Magnetic Particle Imaging System

Congcong Liu;Yihang Zhou;Caiyun Shi;Zhuoxu Cui;Yuanyuan Liu;Yifan Guo;Kangjian Huang;Chao Zou;Yanjie Zhu;Xin Liu;Ye Li;Hairong Zheng;Dong Liang;Haifeng Wang

IEEE Transactions on Magnetics
Year: 2022 | Volume: 58, Issue: 7 | Journal Article |
Cited by: Papers (1)
Magnetic particle imaging (MPI) is a novel tomography model that mainly benefits from the nonlinear magnetization response of magnetic nanoparticles under a dramatically changing magnetic field. Low-cost and compact system construction is beneficial to the application of education, biomedical research, preclinical and clinical medicine. Conversely, many aspects of the production cost, infrastructu...Show More

Design and Implementation of Low-Cost Distributed Tabletop Magnetic Particle Imaging System

Congcong Liu;Yihang Zhou;Caiyun Shi;Zhuoxu Cui;Yuanyuan Liu;Yifan Guo;Kangjian Huang;Chao Zou;Yanjie Zhu;Xin Liu;Ye Li;Hairong Zheng;Dong Liang;Haifeng Wang

Year: 2022 | Volume: 58, Issue: 7 | Journal Article |

Moving Dim and Small Target Detection in Multiframe Infrared Sequence With Low SCR Based on Temporal Profile Similarity

Xin Liu;Liyuan Li;Liqi Liu;Xiaofeng Su;Fansheng Chen

IEEE Geoscience and Remote Sensing Letters
Year: 2022 | Volume: 19 | Journal Article |
Cited by: Papers (13)
Research about infrared dim and small target detection (DSTD) is concentrated on single-frame algorithms, which are limited by the contrast between target and background and face with the problems of low detection probability, high false alarm rate, and lack of robustness in low signal-to-clutter ratio (SCR) and strong noise environment. Studying the use of multiframe sequences adequately is neces...Show More

Moving Dim and Small Target Detection in Multiframe Infrared Sequence With Low SCR Based on Temporal Profile Similarity

Xin Liu;Liyuan Li;Liqi Liu;Xiaofeng Su;Fansheng Chen

Year: 2022 | Volume: 19 | Journal Article |

Deep Cascade Residual Networks (DCRNs): Optimizing an Encoder–Decoder Convolutional Neural Network for Low-Dose CT Imaging

Zhenxing Huang;Zixiang Chen;Guotao Quan;Yanfeng Du;Yongfeng Yang;Xin Liu;Hairong Zheng;Dong Liang;Zhanli Hu

IEEE Transactions on Radiation and Plasma Medical Sciences
Year: 2022 | Volume: 6, Issue: 8 | Journal Article |
Cited by: Papers (22)
To suppress noise and artifacts caused by the reduced radiation exposure in low-dose computed tomography, several deep learning (DL)-based image restoration methods have been proposed over the past few years. Many of these popular DL-based methods adopt an encoder–decoder framework, for instance, the residual encoder–decoder convolutional neural network. However, this popular framework may suffer ...Show More

Deep Cascade Residual Networks (DCRNs): Optimizing an Encoder–Decoder Convolutional Neural Network for Low-Dose CT Imaging

Zhenxing Huang;Zixiang Chen;Guotao Quan;Yanfeng Du;Yongfeng Yang;Xin Liu;Hairong Zheng;Dong Liang;Zhanli Hu

Year: 2022 | Volume: 6, Issue: 8 | Journal Article |

MARFit: An Integrated Software for Real-Time MR Guided Focused Ultrasound Neuromodulation System

Yangzi Qiao;Chao Zou;Jianhong Wen;Xiaojing Long;Chuanli Cheng;Wanqun Yang;Weitao Ye;Dong Liang;Xin Liu;Hairong Zheng

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Year: 2022 | Volume: 30 | Journal Article |
Cited by: Papers (3)
MR guided focused ultrasound (MRgFUS) therapy has been a promising treatment modality for many neurological disorders. However, the lack of real-time image processing software platform sets barriers for relevant pre-clinical researches. This work intends to develop an integrated software for MRgFUS therapy. The software contains three functional modules: a communication module, an image post-proce...Show More

MARFit: An Integrated Software for Real-Time MR Guided Focused Ultrasound Neuromodulation System

Yangzi Qiao;Chao Zou;Jianhong Wen;Xiaojing Long;Chuanli Cheng;Wanqun Yang;Weitao Ye;Dong Liang;Xin Liu;Hairong Zheng

Year: 2022 | Volume: 30 | Journal Article |

Infrared Small Target Detection Based on Weighted Three-Layer Window Local Contrast

Huixin Cui;Liyuan Li;Xin Liu;Xiaofeng Su;Fansheng Chen

IEEE Geoscience and Remote Sensing Letters
Year: 2022 | Volume: 19 | Journal Article |
Cited by: Papers (25)
The performance of small target detection restricts the development of the infrared search and track (IRST) system. Against the complicated background clutter of the infrared (IR) image, the small targets are difficult to separate from a noisy background. Aiming at solving the problem of residual background clutter in the local contrast method, a weighted three-layer window local contrast method (...Show More

Infrared Small Target Detection Based on Weighted Three-Layer Window Local Contrast

Huixin Cui;Liyuan Li;Xin Liu;Xiaofeng Su;Fansheng Chen

Year: 2022 | Volume: 19 | Journal Article |

Electromagnetic Characteristics Analysis of a Novel Bearingless Permanent Magnet Slice Motor with Halbach Arrays for Artificial Heart Pump

Xin Liu;Hongyi Qu;Qi Chen;Cong Wang;Jianhua Liu;Qiuliang Wang

2021 Photonics & Electromagnetics Research Symposium (PIERS)
Year: 2021 | Conference Paper |
Cited by: Papers (7)
The death rate of heart failure is extremely high, and the number of patients continues to rise. Artificial heart pump is the most effective way, even the last hope, for the heart failure patients to prolong their survival. Most of the third-generation magnetic levitation magnetic levitation artificial heart pumps are driven by bearingless permanent magnet slice motor, whose performance directly a...Show More

Electromagnetic Characteristics Analysis of a Novel Bearingless Permanent Magnet Slice Motor with Halbach Arrays for Artificial Heart Pump

Xin Liu;Hongyi Qu;Qi Chen;Cong Wang;Jianhua Liu;Qiuliang Wang

Year: 2021 | Conference Paper |

MHD signal derived Auto Variable Velocity Encoding for 2D Flow Imaging in 3T Cardiac Magnetic Resonance Imaging

Lixian Zou;Junpu Hu;Jian Xu;Haifeng Wang;Hairong Zheng;Xin Liu

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2021 | Conference Paper |
To develop a novel technique to set variable velocity-encoding (VENC) values according to magnetohydrodynamic (MHD) voltage/signal for 2D flow imaging in 3 Tesla MR system. MHD signal is calculated using the electrocardiogram signals measured outside and inside the static magnetic bore during the patient preparation process. Then, VENC values are assigned in terms of the MHD signal in each cardiac...Show More

MHD signal derived Auto Variable Velocity Encoding for 2D Flow Imaging in 3T Cardiac Magnetic Resonance Imaging

Lixian Zou;Junpu Hu;Jian Xu;Haifeng Wang;Hairong Zheng;Xin Liu

Year: 2021 | Conference Paper |

Learned Low-Rank Priors in Dynamic MR Imaging

Ziwen Ke;Wenqi Huang;Zhuo-Xu Cui;Jing Cheng;Sen Jia;Haifeng Wang;Xin Liu;Hairong Zheng;Leslie Ying;Yanjie Zhu;Dong Liang

IEEE Transactions on Medical Imaging
Year: 2021 | Volume: 40, Issue: 12 | Journal Article |
Cited by: Papers (49)
Deep learning methods have achieved attractive performance in dynamic MR cine imaging. However, most of these methods are driven only by the sparse prior of MR images, while the important low-rank (LR) prior of dynamic MR cine images is not explored, which may limit further improvements in dynamic MR reconstruction. In this paper, a learned singular value thresholding (Learned-SVT) operator is pro...Show More

Learned Low-Rank Priors in Dynamic MR Imaging

Ziwen Ke;Wenqi Huang;Zhuo-Xu Cui;Jing Cheng;Sen Jia;Haifeng Wang;Xin Liu;Hairong Zheng;Leslie Ying;Yanjie Zhu;Dong Liang

Year: 2021 | Volume: 40, Issue: 12 | Journal Article |

Simultaneous Head and Spine MR Imaging in Children Using a Dedicated Multichannel Receiver System at 3T

Nan Li;Hui Zheng;Guangzu Xu;Ting Gui;Qiufeng Yin;Qiaoyan Chen;Jo Lee;Yang Xin;Shuheng Zhang;Qiang He;Xiaoliang Zhang;Xin Liu;Hairong Zheng;Dengbin Wang;Ye Li

IEEE Transactions on Biomedical Engineering
Year: 2021 | Volume: 68, Issue: 12 | Journal Article |
Cited by: Papers (3)
Objective: The purpose of this work was to enable simultaneous head and spine Magnetic Resonance imaging (MRI) in children at 3T by using a dedicated multichannel radiofrequency coil array system. Methods: A 24-channel head and spine pediatric coil system was developed and constructed. The coil's performance was compared with a commercially available 24-channel adult head-neck coil and a spine coi...Show More

Simultaneous Head and Spine MR Imaging in Children Using a Dedicated Multichannel Receiver System at 3T

Nan Li;Hui Zheng;Guangzu Xu;Ting Gui;Qiufeng Yin;Qiaoyan Chen;Jo Lee;Yang Xin;Shuheng Zhang;Qiang He;Xiaoliang Zhang;Xin Liu;Hairong Zheng;Dengbin Wang;Ye Li

Year: 2021 | Volume: 68, Issue: 12 | Journal Article |

Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites

Zhenxing Huang;Xinfeng Liu;Rongpin Wang;Zixiang Chen;Yongfeng Yang;Xin Liu;Hairong Zheng;Dong Liang;Zhanli Hu

IEEE Journal of Biomedical and Health Informatics
Year: 2021 | Volume: 25, Issue: 9 | Journal Article |
Cited by: Papers (25)
Dose reduction in computed tomography (CT) has gained considerable attention in clinical applications because it decreases radiation risks. However, a lower dose generates noise in low-dose computed tomography (LDCT) images. Previous deep learning (DL)-based works have investigated ways to improve diagnostic performance to address this ill-posed problem. However, most of them disregard the anatomi...Show More

Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites

Zhenxing Huang;Xinfeng Liu;Rongpin Wang;Zixiang Chen;Yongfeng Yang;Xin Liu;Hairong Zheng;Dong Liang;Zhanli Hu

Year: 2021 | Volume: 25, Issue: 9 | Journal Article |

Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients

Shi Su;Zhilang Qiu;Chao Luo;Caiyun Shi;Liwen Wan;Yanjie Zhu;Ye Li;Xin Liu;Hairong Zheng;Dong Liang;Haifeng Wang

IEEE Transactions on Medical Imaging
Year: 2021 | Volume: 40, Issue: 1 | Journal Article |
Cited by: Papers (9)
The Wave Controlled Aliasing In Parallel Imaging (Wave-CAIPI) technique manifests great potential to highly accelerate three-dimensional (3D) balanced steady-state free precession (bSSFP) through substantially reducing the geometric factor (g-factor) and aliasing artifacts of image reconstruction. However, severe banding artifacts appear in bSSFP imaging due to unbalanced gradients with nonzero 0t...Show More

Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients

Shi Su;Zhilang Qiu;Chao Luo;Caiyun Shi;Liwen Wan;Yanjie Zhu;Ye Li;Xin Liu;Hairong Zheng;Dong Liang;Haifeng Wang

Year: 2021 | Volume: 40, Issue: 1 | Journal Article |

DPIR-Net: Direct PET Image Reconstruction Based on the Wasserstein Generative Adversarial Network

Zhanli Hu;Hengzhi Xue;Qiyang Zhang;Juan Gao;Na Zhang;Sijuan Zou;Yueyang Teng;Xin Liu;Yongfeng Yang;Dong Liang;Xiaohua Zhu;Hairong Zheng

IEEE Transactions on Radiation and Plasma Medical Sciences
Year: 2021 | Volume: 5, Issue: 1 | Journal Article |
Cited by: Papers (62)
Positron emission tomography (PET) is an advanced medical imaging technique widely used in various clinical applications, such as tumor detection and neurologic disorders. Reducing the radiotracer dose is desirable in PET imaging because it decreases the patient’s radiation exposure. However, reducing the dose can also increase noise, affecting the image quality. Therefore, an advanced image recon...Show More

DPIR-Net: Direct PET Image Reconstruction Based on the Wasserstein Generative Adversarial Network

Zhanli Hu;Hengzhi Xue;Qiyang Zhang;Juan Gao;Na Zhang;Sijuan Zou;Yueyang Teng;Xin Liu;Yongfeng Yang;Dong Liang;Xiaohua Zhu;Hairong Zheng

Year: 2021 | Volume: 5, Issue: 1 | Journal Article |

An Improved Fused EM Algorithm for PET Image Reconstruction

Shanshan Zhu;Dong Liang;Xin Liu;Hairong Zheng;Yongfeng Yang;Zhanli Hu

2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
Year: 2020 | Conference Paper |
This paper presents an improved PET image reconstruction method based on iterative method. Emission tomography (PET) is an advanced clinical imaging technique in nuclear medicine. PET can be specifically injected with a radioactive tracer to detect activity at the molecular level in the tissue, but, the tracer injection poses a potential radiation risk to the patient. However, the limitation of in...Show More

An Improved Fused EM Algorithm for PET Image Reconstruction

Shanshan Zhu;Dong Liang;Xin Liu;Hairong Zheng;Yongfeng Yang;Zhanli Hu

Year: 2020 | Conference Paper |

Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm

Haifeng Wang;Fang Cai;Caiyun Shi;Jing Cheng;Shi Su;Zhilang Qiu;Guoxi Xie;Hanwei Chen;Xin Liu;Dong Liang

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2020 | Conference Paper |
The susceptibility-based positive contrast MR technique was applied to estimate arbitrary magnetic susceptibility distributions of the metallic devices using a kernel deconvolution algorithm with a regularized L-1 minimization. Previously, the first-order primal-dual (PD) algorithm could provide a faster reconstruction time to solve the L-1 minimization, compared with other methods. Here, we propo...Show More

Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm

Haifeng Wang;Fang Cai;Caiyun Shi;Jing Cheng;Shi Su;Zhilang Qiu;Guoxi Xie;Hanwei Chen;Xin Liu;Dong Liang

Year: 2020 | Conference Paper |

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