Jianpan Huang

Comparing Multi‐Pool Lorentzian Fitting Methods for Guanidinium CEST Quantification in the Human Brain at Clinical 3 T : A Validation Study Using MRS

Ziyan Wang, Huabin Zhang, Jiawen Wang, Ying Zhang et autres

PURPOSE: This study aimed to evaluate the performance of our recently proposed double-step multi-pool Lorentzian fitting (DMPLF) method for extracting GuanCEST and other CEST signals in the human brain at clinical 3 T, using MRS as the reference standard. METHODS: A simulation …

hk (code pays fourni par la source)

Bloch-McConnell Simulation Study – Comparison of Various CEST Simulation Frameworks - All submitted entries

Markus Huemer, Patrick Schuenke, Viktoria Buchegger, Martin Juschitz et autres

This dataset contains a copy of the spreadsheet used to collect the entries for the Bloch-McConnell Simulation Study. The original spreadsheet can be found here: https://docs.google.com/spreadsheets/d/1JN7VN-f1ktDrJgokb0FlUFwkH0MWYlPA_jSfnQoFOVc More information about the study can be found here: https://github.com/pulseq-cest/BMsim_challenge

at, de, il, my, us, hk, in, fi, ca, au (code pays fourni par la source)

Bloch-McConnell Simulation Study – Comparison of Various CEST Simulation Frameworks - All submitted entries

Markus Huemer, Patrick Schuenke, Viktoria Buchegger, Martin Juschitz et autres

This dataset contains a copy of the spreadsheet used to collect the entries for the Bloch-McConnell Simulation Study. The original spreadsheet can be found here: https://docs.google.com/spreadsheets/d/1JN7VN-f1ktDrJgokb0FlUFwkH0MWYlPA_jSfnQoFOVc More information about the study can be found here: https://github.com/pulseq-cest/BMsim_challenge

at, de, il, my, us, hk, in, fi, ca, au (code pays fourni par la source)

Characterizing Metabolic and Compositional Heterogeneity of Calf Muscle Using CEST MRI at 3 T

Huabin Zhang, Kangli Pi, Zi Wang, Fan Huang et autres

Different human calf muscles have specialized functions, leading to inherent metabolic differences. Imaging the metabolic and compositional properties of calf muscles is important for evaluating muscle health. This study aims to characterize the metabolic and compositional heterogeneity of calf muscle by chemical …

cn, hk, us, de (code pays fourni par la source)

Quasi-steady-state CEST for rapid and quantitative lesion detection in multiple sclerosis at 3T

Huabin Zhang, Ziyan Wang, Shihao Zeng, Jiawen Wang et autres

Chemical Exchange Saturation Transfer (CEST) MRI has demonstrated significant value in the early diagnosis of multiple sclerosis (MS) and monitoring of remyelination. However, quantitative CEST MRI is highly susceptible to varied scan parameters and typically requires long saturation times to achieve equilibrium …

cn, hk (code pays fourni par la source)

Saturation‐Transfer‐Based MRI of the Brain in Multiple Sclerosis Patients at 3T

Ziyan Wang, Yingying Lin, Peng Cao, Pei Lin Cai et autres

MISL maps (slice 5–12) at (a) –20 ppm and (c) –10 ppm were collected from the brain of a 41-year-old female HC subject and a 47-year-old female MS patient. Comparison of MISL signals between HC (n = 15) and MS (n = …

Accelerating CEST MRI through complementary undersampling and multi-offset transformer reconstruction

Huabing Liu, Zilin Chen, Lok Hin Law, Yang Liu et autres

Chemical exchange saturation transfer (CEST) is a promising magnetic resonance imaging (MRI) technique that provides molecular-level information in vivo. To obtain this unique contrast, repeated acquisition at multiple frequency offsets is needed, resulting a long scanning time. In this study, we propose …

hk, cn, us (code pays fourni par la source)

Enhancing SNR of CEST MRI Through Noise‐to‐Noise Deep Learning With K‐Space Data Consistency

Huabing Liu, Ziyi Xia, Lok Hin Law, Zilin Chen et autres

Tha aim of this study is to develop a deep learning-based retrospective denoising method, via noise-to-noise (N2N) CEST, to enhance the SNR of acquired CEST images. The N2NCEST model was trained using pairs of noisy CEST images through a N2N deep learning …

cn, hk, us (code pays fourni par la source)

Saturation‐Transfer‐Based MRI of the Brain in Multiple Sclerosis Patients at 3T

Ziyan Wang, Yingying Lin, Peng Cao, Pei Lin Cai et autres

BACKGROUND: Multiple sclerosis (MS) is an autoimmune demyelinating disease that attacks myelin. MRI is an important imaging modality for diagnosis and monitoring in MS. However, the current standard MRI protocol for MS lacks sequences capable of detecting molecular changes. PURPOSE: To present …

hk, cn, es, us (code pays fourni par la source)

Blood-brain barrier estimation from DCE MRI using physics-based deep learning approach

Jamal Firmat Banzi, Abdul‐mojeed Olabisi Ilyas, Yang Liu, Huabing Liu et autres

Motivation: Pharmacokinetic modelling of DCE MRI faces significant challenges of noisy parameter maps, unreliability, and long processing time. Goal(s): To propose a deep learning approach for estimating blood-brain barrier (BBB) permeability in DCE MRI, comparing its performance with the standard non-linear least …

Assessment of molecular and pH-weighted signal changes in chronic ischemic stroke using CEST MRI at 3T

Jianpan Huang, Yi Zhang, Gary K. K. Lau, Kannie W. Y. Chan

Motivation: The sensitivity of CEST MRI in imaging the molecular and pH-weighted signal changes of chronic ischemic stroke remains largely unexplored. Goal(s): The goal of this study is to study the changes of multiple CEST contrasts and amide and amine concentration independent …

Enhancing SNR of CEST MRI Through Noise-to-Noise Deep Learning with K-space Data Consistency

Huabing Liu, Lok Hin Law, Zilin Chen, Jianpan Huang et autres

Motivation: Endogenous CEST contrast is relatively small and vulnerable to imaging noise. Goal(s): To develop a retrospective denoising method to enhance SNR of acquired CEST images. Approach: A denoising neural network was trained using pairs of noisy CEST images through a noise-to-noise …