Search Results - "Gong, Nan‐Jie"

Imaging beta amyloid aggregation and iron accumulation in Alzheimer's disease using quantitative susceptibility mapping MRI by Gong, Nan-Jie, Dibb, Russell, Bulk, Marjolein, van der Weerd, Louise, Liu, Chunlei

“…Beta amyloid is a protein fragment snipped from the amyloid precursor protein (APP). Aggregation of these peptides into amyloid plaques is one of the hallmarks…”
Get full text

Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data by Chen, Jingjia, Gong, Nan-Jie, Chaim, Khallil Taverna, Otaduy, Maria Concepción García, Liu, Chunlei

“…•A method named DECOMPOSE-QSM is developed to decompose sub-voxel paramagnetic and diamagnetic susceptibilities only use multi-echo GRE data.•The method is…”
Get full text

Imaging microstructure with diffusion and susceptibility MR: neuronal density correlation in Disrupted‐in‐Schizophrenia‐1 mutant mice by Gong, Nan‐Jie, Dibb, Russell, Pletnikov, Mikhail, Benner, Eric, Liu, Chunlei

“…Purpose To probe cerebral microstructural abnormalities and assess changes of neuronal density in Disrupted‐in‐Schizophrenia‐1 (DISC1) mice using non‐Gaussian…”
Get full text

Fast SPECT/CT planar bone imaging enabled by deep learning enhancement by Pan, Zhenglin, Qi, Na, Meng, Qingyuan, Pan, Boyang, Feng, Tao, Zhao, Jun, Gong, Nan‐Jie

“…Background The application of deep learning methods in rapid bone scintigraphy is increasingly promising for minimizing the duration of SPECT examinations…”
Get full text

Developmental trajectory of magnetic susceptibility in the healthy rhesus macaque brain by Wu, Jing, Peng, Siyue, Zhang, Yuhua, Pan, Boyang, Chen, Honghua, Hu, Xintian, Gong, Nan‐Jie

“…Quantitative susceptibility mapping (QSM) is used to quantify iron deposition in non‐human primates in our study. Although QSM has many applications in…”
Get full text

Differential microstructural and morphological abnormalities in mild cognitive impairment and Alzheimer's disease: Evidence from cortical and deep gray matter by Gong, Nan‐Jie, Chan, Chun‐Chung, Leung, Lam‐Ming, Wong, Chun‐Sing, Dibb, Russell, Liu, Chunlei

“…One aim of this study is to use non‐Gaussian diffusion kurtosis imaging (DKI) for capturing microstructural abnormalities in gray matter of Alzheimer's disease…”
Get full text

Clinical ultra‐high resolution CT scans enabled by using a generative adversarial network by Sun, Yao, Pan, Boyang, Li, Qingchu, Wang, JiaChen, Wang, Xiang, Chen, Honghua, Cao, Qing, Liu, Hui, Feng, Tao, Sun, Hongbiao, Xiao, Yi, Gong, Nan‐Jie

“…Background Ultra‐high resolution computed tomography (UHRCT) has shown great potential for the detection of pulmonary diseases. However, UHRCT scanning…”
Get full text

Microstructural alterations of cortical and deep gray matter over a season of high school football revealed by diffusion kurtosis imaging by Gong, Nan-Jie, Kuzminski, Samuel, Clark, Michael, Fraser, Melissa, Sundman, Mark, Guskiewicz, Kevin, Petrella, Jeffrey R., Liu, Chunlei

“…To probe microstructural changes that are associated with subconcussive head impact exposure in deep and cortical gray matter of high school football players…”
Get full text

Correlations between microstructural alterations and severity of cognitive deficiency in Alzheimer's disease and mild cognitive impairment: a diffusional kurtosis imaging study by Gong, Nan-Jie, Wong, Chun-Sing, Chan, Chun-Chung, Leung, Lam-Ming, Chu, Yiu-Ching

“…Abstract Object Diffusional kurtosis imaging (DKI), a natural extension of diffusion tensor imaging (DTI), can characterize non-Gaussian diffusion in the…”
Get full text

Ultra high speed SPECT bone imaging enabled by a deep learning enhancement method: a proof of concept by Pan, Boyang, Qi, Na, Meng, Qingyuan, Wang, Jiachen, Peng, Siyue, Qi, Chengxiao, Gong, Nan-Jie, Zhao, Jun

“…Background To generate high-quality bone scan SPECT images from only 1/7 scan time SPECT images using deep learning-based enhancement method. Materials and…”
Get full text

Evaluating Heterogeneity of Primary Lung Tumor Using Clinical Routine Magnetic Resonance Imaging and a Tumor Heterogeneity Index by Hu, Nan, Yin, ShaoHan, Li, Qiwen, He, Haoqiang, Zhong, Linchang, Gong, Nan-Jie, Guo, Jinyu, Cai, Peiqiang, Xie, Chuanmiao, Liu, Hui, Qiu, Bo

“…To improve the assessment of primary tumor heterogeneity in magnetic resonance imaging (MRI) of non-small cell lung cancer (NSCLC), we proposed a method using…”
Get full text

Treatment response monitoring in patients with gastrointestinal stromal tumor using diffusion-weighted imaging: preliminary results in comparison with positron emission tomography/computed tomography by Gong, Nan-Jie, Wong, Chun-Sing, Chu, Yiu-Ching, Gu, Jing

“…We compared the parameters derived from diffusion‐weighted imaging (DWI) and positron emission tomography/computed tomography (PET/CT) for treatment response…”
Get full text

Increasing the Accuracy of Volume and ADC Delineation for Heterogeneous Tumor on Diffusion-Weighted MRI: Correlation with PET/CT by Gong, Nan-Jie, BEng, Wong, Chun-Sing, FRCR, Chu, Yiu-Ching, FRCR, Guo, Hua, PhD, Huang, Bingsheng, PhD, Chan, Queenie, PhD

“…Purpose To improve the accuracy of volume and apparent diffusion coefficient (ADC) measurements in diffusion-weighted magnetic resonance imaging (MRI), we…”
Get full text

Deep learning enhanced ultra-fast SPECT/CT bone scan in patients with suspected malignancy: quantitative assessment and clinical performance by Qi, Na, Pan, Boyang, Meng, Qingyuan, Yang, Yihong, Feng, Tao, Liu, Hui, Gong, Nan-Jie, Zhao, Jun

“… To evaluate the clinical performance of deep learning-enhanced ultrafast single photon emission computed tomography/computed tomography (SPECT/CT) bone scans…”
Get more information

Deep learning–based methods may minimize GBCA dosage in brain MRI by Luo, Huanyu, Zhang, Tao, Gong, Nan-Jie, Tamir, Jonthan, Venkata, Srivathsa Pasumarthi, Xu, Cheng, Duan, Yunyun, Zhou, Tao, Zhou, Fuqing, Zaharchuk, Greg, Xue, Jing, Liu, Yaou

“…Objectives To evaluate the clinical performance of a deep learning (DL)–based method for brain MRI exams with reduced gadolinium-based contrast agent (GBCA)…”
Get full text

Hemisphere, gender and age-related effects on iron deposition in deep gray matter revealed by quantitative susceptibility mapping by Gong, Nan-Jie, Wong, Chun-Sing, Hui, Edward S., Chan, Chun-Chung, Leung, Lam-Ming

Get full text

Quantitative Susceptibility Mapping: Contrast Mechanisms and Clinical Applications by Liu, Chunlei, Wei, Hongjiang, Gong, Nan-Jie, Cronin, Matthew, Dibb, Russel, Decker, Kyle

“…Quantitative susceptibility mapping (QSM) is a recently developed MRI technique for quantifying the spatial distribution of magnetic susceptibility within…”
Get full text

Clinical evaluation of deep learning‐enhanced lymphoma pet imaging with accelerated acquisition by Li, Xu, Pan, Boyang, Chen, Congxia, Yan, Dongyue, Pan, Zhenglin, Feng, Tao, Liu, Hui, Gong, Nan‐Jie, Liu, Fugeng

“…Purpose This study aims to evaluate the clinical performance of a deep learning (DL)‐enhanced two‐fold accelerated PET imaging method in patients with…”
Get full text

Aging in deep gray matter and white matter revealed by diffusional kurtosis imaging by Gong, Nan-Jie, Wong, Chun-Sing, Chan, Chun-Chung, Leung, Lam-Ming, Chu, Yiu-Ching

“…Abstract Diffusion tensor imaging has already been extensively used to probe microstructural alterations in white matter tracts, and scarcely, in deep gray…”
Get full text

Clinical performance of deep learning-enhanced ultrafast whole-body scintigraphy in patients with suspected malignancy by Qi, Na, Pan, Boyang, Meng, Qingyuan, Yang, Yihong, Ding, Jie, Yuan, Zengbei, Gong, Nan-Jie, Zhao, Jun

“…To evaluate the clinical performance of two deep learning methods, one utilizing real clinical pairs and the other utilizing simulated datasets, in enhancing…”
Get full text