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Zuo Gui Wan Alters Expression of Energy Metabolism Genes and Prevents Cell Death in High-Glucose Loaded Mouse Embryos

no conflicts of interest. Authors’ Contributions Qi Liang, QianJin Feng, David L. Adelson, Qiang Song, and Xin Niu conceived and designed the experiments. Qi Liang, Zhipeng Qu, and David L. Adelson

Morphology-adaptive total variation for the reconstruction of quantitative susceptibility map from the magnetic resonance imaging phase

. Supervision: Wufan Chen. Validation: Li Guo, Jijing Guan. Writing ? original draft: Li Guo. Writing ? review & editing: Wufan Chen, Qianjin Feng, Yanqiu Feng. 12 / 14 13 / 14 1. Li L . Magnetic

Automatic Thalamus Segmentation from Magnetic Resonance Images Using Multiple Atlases Level Set Framework (MALSF)

. Qianjin Feng validated the experiment. Yu Zhang checked the results and reviewed the paper. Additional Information Competing Interests: The authors declare that they have no competing interests

Motion guided Spatiotemporal Sparsity for high quality 4D-CBCT reconstruction

, Southern Medical University, Guangzhou, Guangdong, 510515, ChinaYang Liu, Xi Tao, Jianhua Ma, Zhaoying Bian, Dong Zeng, Qianjin Feng, Wufan Chen & Hua Zhang AuthorsSearch for Yang Liu in:Nature Research ... Bian in:Nature Research journals • PubMed • Google Scholar Search for Dong Zeng in:Nature Research journals • PubMed • Google Scholar Search for Qianjin Feng in:Nature Research journals • PubMed

Mass screening for liver cancer: results from a demonstration screening project in Zhongshan City, China

Institute of Zhongshan City, Zhongshan City People’s Hospital, Zhongshan, Guangdong, P. R. ChinaMingfang Ji, Xia Yu, Biaohua Wu, Li Deng, Qianjin Feng, Kuangrong Wei, Xuejun Liang, Shifeng Lian, Wen Quan ... Search for Biaohua Wu in:Nature Research journals • PubMed • Google Scholar Search for Li Deng in:Nature Research journals • PubMed • Google Scholar Search for Qianjin Feng in:Nature Research journals

Improved Liver R2* Mapping by Averaging Decay Curves

, Guangzhou, ChinaXinyuan Zhang, Jie Peng, Changqing Wang, Yanqiu Feng, Qianjin Feng & Wufan ChenSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu ... Scholar Search for Changqing Wang in:Nature Research journals • PubMed • Google Scholar Search for Yanqiu Feng in:Nature Research journals • PubMed • Google Scholar Search for Qianjin Feng in:Nature

Hippocampus Segmentation Based on Local Linear Mapping

in:Nature Research journals • PubMed • Google ScholarSearch for Wenhua Huang in:Nature Research journals • PubMed • Google ScholarSearch for Qianjin Feng in:Nature Research journals • PubMed • Google Scholar ... the evaluation of the segmentation results. All authors reviewed the manuscript. Competing interests The authors declare no competing financial interests. Corresponding author Correspondence to Qianjin

Liver DCE-MRI Registration in Manifold Space Based on Robust Principal Component Analysis

Lu, Yu Zhang, Yanqiu Feng, Yaqin Liu, Wei Yang & Wufan Chen AuthorsSearch for Qianjin Feng in:Nature Research journals • PubMed • Google ScholarSearch for Yujia Zhou in:Nature Research journals

Quantitative Study of Liver Magnetic Resonance Spectroscopy Quality at 3T Using Body and Phased Array Coils with Physical Analysis and Clinical Evaluation

This study aims to investigate the quality difference of short echo time (TE) breathhold 1H magnetic resonance spectroscopy (MRS) of the liver at 3.0T using the body and phased array coils, respectively. In total, 20 pairs of single-voxel proton spectra of the liver were acquired at 3.0T using the phased array and body coils as receivers. Consecutive stacks of breathhold spectra...

The Preventive Effect of Zuogui Wan on Offspring Rats’ Impaired Glucose Tolerance Whose Mothers Had Gestational Diabetes Mellitus

In this experiment, we used streptozotocin (STZ) to establish a model of gestational diabetes mellitus (GDM) rats, where Zuogui Wan was given to GDM rats. After pregnancy, offspring rats were divided into 4 groups: control group, high fat and sugar as the control group, GDM group, and Zuogui Wan GDM group. Rats in high fat and sugar as the control group, GDM group, and Zuogui Wan...

Correction: Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

Qianjin Feng There are errors in the Funding section. The correct funding information is as follows: This work was supported by the National Key Technology Research and Development Program of the Ministry

Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation

Content-based image retrieval (CBIR) techniques have currently gained increasing popularity in the medical field because they can use numerous and valuable archived images to support clinical decisions. In this paper, we concentrate on developing a CBIR system for retrieving brain tumors in T1-weighted contrast-enhanced MRI images. Specifically, when the user roughly outlines the...

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

Automatic classification of tissue types of region of interest (ROI) plays an important role in computer-aided diagnosis. In the current study, we focus on the classification of three types of brain tumors (i.e., meningioma, glioma, and pituitary tumor) in T1-weighted contrast-enhanced MRI (CE-MRI) images. Spatial pyramid matching (SPM), which splits the image into increasingly...

A Novel Adaptive Level Set Segmentation Method

The adaptive distance preserving level set (ADPLS) method is fast and not dependent on the initial contour for the segmentation of images with intensity inhomogeneity, but it often leads to segmentation with compromised accuracy. And the local binary fitting model (LBF) method can achieve segmentation with higher accuracy but with low speed and sensitivity to initial contour...

Multimodal Brain-Tumor Segmentation Based on Dirichlet Process Mixture Model with Anisotropic Diffusion and Markov Random Field Prior

Brain-tumor segmentation is an important clinical requirement for brain-tumor diagnosis and radiotherapy planning. It is well-known that the number of clusters is one of the most important parameters for automatic segmentation. However, it is difficult to define owing to the high diversity in appearance of tumor tissue among different patients and the ambiguous boundaries of...

An Efficient Augmented Lagrangian Method for Statistical X-Ray CT Image Reconstruction

Statistical iterative reconstruction (SIR) for X-ray computed tomography (CT) under the penalized weighted least-squares criteria can yield significant gains over conventional analytical reconstruction from the noisy measurement. However, due to the nonlinear expression of the objective function, most exiting algorithms related to the SIR unavoidably suffer from heavy computation...

Palm-Vein Classification Based on Principal Orientation Features

Personal recognition using palm–vein patterns has emerged as a promising alternative for human recognition because of its uniqueness, stability, live body identification, flexibility, and difficulty to cheat. With the expanding application of palm–vein pattern recognition, the corresponding growth of the database has resulted in a long response time. To shorten the response time...

Variability of Gross Tumor Volume in Nasopharyngeal Carcinoma Using 11C-Choline and 18F-FDG PET/CT

This study was conducted to evaluate the variability of gross tumor volume (GTV) using 11C-Choline and 18F-FDG PET/CT images for nasopharyngeal carcinomas boundary definition. Assessment consisted of inter-observer and inter-modality variation analysis. Four radiation oncologists were invited to manually contour GTV by using PET/CT fusion obtained from a cohort of 12 patients...

Automatic Segmentation of Myocardium from Black-Blood MR Images Using Entropy and Local Neighborhood Information

By using entropy and local neighborhood information, we present in this study a robust adaptive Gaussian regularizing Chan–Vese (CV) model to segment the myocardium from magnetic resonance images with intensity inhomogeneity. By utilizing the circular Hough transformation (CHT) our model is able to detect epicardial and endocardial contours of the left ventricle (LV) as circles...

The Therapeutic Effect of Zuogui Wan in Gestational Diabetes Mellitus Rats

In this experiment, we established an animal model of gestational diabetes mellitus rats using streptozotocin. Using the rat model of GDM, the pregnant rats in 1-19d were divided into three groups: (1) Zuogui Wan gestational diabetes mellitus group (group I, ), (2) gestational diabetes mellitus rats as the control group (group II, ), and (3) rats of normal pregnancy group (group...