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Nuclear Magnetic Resonance (NMR) spectroscopy has served as a powerful analytical tool for studying molecular structure and dynamics in chemistry and biology. However, the processing of raw data acquired from NMR spectrometers and…

定量方法 · 定量生物学 2023-09-15 Di Guo , Sijin Li , Jun Liu , Zhangren Tu , Tianyu Qiu , Jingjing Xu , Liubin Feng , Donghai Lin , Qing Hong , Meijin Lin , Yanqin Lin , Xiaobo Qu

Magnetic resonance spectroscopy (MRS) is an important technique in biomedical research and it has the unique capability to give a non-invasive access to the biochemical content (metabolites) of scanned organs. In the literature, the…

计算机视觉与模式识别 · 计算机科学 2018-06-20 Nima Hatami , Michaël Sdika , Hélène Ratiney

Objctives: This work aimed to statistically compare the metabolite quantification of human brain magnetic resonance spectroscopy (MRS) between the deep learning method QNet and the classical method LCModel through an easy-to-use intelligent…

Magnetic resonance spectroscopy (MRS) is an established technique for studying tissue metabolism, particularly in central nervous system disorders. While powerful and versatile, MRS is often limited by challenges associated with data…

定量方法 · 定量生物学 2024-08-29 Christopher J. Wu , Lawrence S. Kegeles , Jia Guo

Magnetic Resonance Imaging (MRI) plays an important role in medical diagnosis, generating petabytes of image data annually in large hospitals. This voluminous data stream requires a significant amount of network bandwidth and extensive…

图像与视频处理 · 电气工程与系统科学 2023-10-19 Yirong Zhou , Yanhuang Wu , Yuhan Su , Jing Li , Jianyun Cai , Yongfu You , Di Guo , Xiaobo Qu

Objective: Magnetic Resonance Spectroscopy (MRS) is an important technique for biomedical detection. However, it is challenging to accurately quantify metabolites with proton MRS due to serious overlaps of metabolite signals, imperfections…

Efficient collaboration between engineers and radiologists is important for image reconstruction algorithm development and image quality evaluation in magnetic resonance imaging (MRI). Here, we develop CloudBrain-ReconAI, an online cloud…

图像与视频处理 · 电气工程与系统科学 2024-09-24 Yirong Zhou , Chen Qian , Jiayu Li , Zi Wang , Yu Hu , Biao Qu , Liuhong Zhu , Jianjun Zhou , Taishan Kang , Jianzhong Lin , Qing Hong , Jiyang Dong , Di Guo , Xiaobo Qu

Magnetic Resonance Spectroscopy (MRS) is a noninvasive tool to reveal metabolic information. One challenge of 1H-MRS is the low Signal-Noise Ratio (SNR). To improve the SNR, a typical approach is to perform Signal Averaging (SA) with M…

Magnetic Resonance Spectroscopy (MRS) provides valuable information to help with the identification and understanding of brain tumors, yet MRS is not a widely available medical imaging modality. Aiming to counter this issue, this research…

计算机视觉与模式识别 · 计算机科学 2018-08-24 Nathan J Olliverre , Guang Yang , Gregory Slabaugh , Constantino Carlos Reyes-Aldasoro , Eduardo Alonso

Magnetic Resonance Spectroscopic Imaging (MRSI) is a clinical imaging modality for measuring tissue metabolite levels in-vivo. An accurate estimation of spectral parameters allows for better assessment of spectral quality and metabolite…

计算机视觉与模式识别 · 计算机科学 2018-05-28 Dhritiman Das , Eduardo Coello , Rolf F Schulte , Bjoern H Menze

This literature review presents a comprehensive overview of machine learning (ML) applications in proton magnetic resonance spectroscopy (MRS). As the use of ML techniques in MRS continues to grow, this review aims to provide the MRS…

Many developmental processes, such as plasticity and aging, or pathological processes such as neurological diseases are characterized by modulations of specific cellular types and their microstructures. Diffusion-weighted Magnetic Resonance…

医学物理 · 物理学 2019-03-26 Marco Palombo , Noam Shemesh , Itamar Ronen , Julien Valette

Nuclear magnetic resonance spectroscopy (MRS) allows for the determination of atomic structures and concentrations of different chemicals in a biochemical sample of interest. MRS is used in vivo clinically to aid in the diagnosis of several…

医学物理 · 物理学 2021-05-04 Zohaib Iqbal , Dan Nguyen , M. Albert Thomas , Steve Jiang

Magnetic Resonance Spectroscopy (MRS) offers a unique non-invasive window into metabolic processes, yet its potential remains strictly constrained by severe spectral congestion and intrinsic insensitivity. Traditional pulse sequence design,…

量子物理 · 物理学 2026-04-03 Gaocheng Fu , Shiji Zhang , Kai Huang , Xue Yang , Huilin Zhang , Daxiu Wei , Ye-Feng Yao

Magnetic resonance spectroscopic imaging is a widely available imaging modality that can non-invasively provide a metabolic profile of the tissue of interest, yet is challenging to integrate clinically. One major reason is the expensive,…

计算机视觉与模式识别 · 计算机科学 2024-09-11 John LaMaster , Dhritiman Das , Florian Kofler , Jason Crane , Yan Li , Tobias Lasser , Bjoern H Menze

Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. In order to diagnose MS, multiple screening methods have been…

Functional magnetic resonance spectroscopy (fMRS) quantifies metabolic variations upon presentation of a stimulus and can therefore provide complementary information compared to functional magnetic resonance imaging (fMRI). However, to our…

医学物理 · 物理学 2020-01-24 Clémence Ligneul , Francisca F. Fernandes , Noam Shemesh

Magnetic Resonance Spectroscopy (MRS) is a powerful non-invasive tool for metabolic tissue analysis but is often degraded by patient motion, limiting clinical utility. The RECENTRE project (REal-time motion CorrEctioN in magneTic Resonance)…

Given the need to elucidate the mechanisms underlying illnesses and their treatment, as well as the lack of harmonization of acquisition and post-processing protocols among different magnetic resonance system vendors, this work is to…

Magnetic Resonance Spectroscopic Imaging (MRSI) is a powerful tool for non-invasive mapping of brain metabolites, providing critical insights into neurological conditions. However, its utility is often limited by missing or corrupted data…

图像与视频处理 · 电气工程与系统科学 2025-05-13 Tan-Hanh Pham , Ovidiu C. Andronesi , Xianqi Li , Kim-Doang Nguyen
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