Article
Endocrinology & Metabolism
Jin Liu, Jian-Wei Liao, Wei Li, Xiao-Jun Chen, Jia-Xin Feng, Lin Yao, Pan-Hui Huang, Zhi-Hai Su, Hai Lu, Yu-Ting Liao, Shao-Lin Li, Ya-Jun Ma
Summary: In this study, the CBWPD measured by STAIR-UTE MRI was shown to be a promising biomarker in the diagnosis of osteoporosis and the assessment of bone quality and fracture risk.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Neurosciences
Breni Sharma, Andrew E. Beaudin, Emily Cox, Feryal Saad, Krista Nelles, Myrlene Gee, Richard Frayne, David G. Gobbi, Richard Camicioli, Eric E. Smith, Cheryl R. McCreary
Summary: This study used MRI and quantitative susceptibility mapping (QSM) to detect brain iron content in patients with CAA and found no significant difference compared to the normal control group. However, the study did not provide evidence of an association between brain iron content and cognitive abilities.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Materials Science, Multidisciplinary
Muhammad Awais, Michael Altgen, Mikko Makela, Tiina Belt, Lauri Rautkari
Summary: This study used near-infrared hyperspectral imaging to predict the moisture distribution on wood surfaces and demonstrated its accuracy in predicting moisture content variations. It also revealed differences in moisture content between earlywood and latewood in acetylated wood.
JOURNAL OF MATERIALS SCIENCE
(2022)
Article
Optics
Cristina Polonschii, Mihaela Gheorghiu, Sorin David, Szilveszter Gaspar, Sorin Melinte, Hassaan Majeed, Mikhail E. Kandel, Gabriel Popescu, Eugen Gheorghiu
Summary: A novel multimodal functional imaging instrument has been developed in this study, enabling high-resolution mapping of optical path differences and electrical impedance variations. By combining phase imaging with electrical modulation, the system can achieve submicron spatial resolution for retrieving electro-optical maps with high spatial and temporal resolutions. This innovative optoelectrochemical method shows promise for a wider range of electrically modulated optical methods in measuring the electric field locally.
LIGHT-SCIENCE & APPLICATIONS
(2021)
Article
Oncology
Marie-France Penet, Samata Kakkad, Flonne Wildes, Zaver M. Bhujwalla
Summary: In magnetic resonance metabolic imaging, water signal is commonly used for normalization to derive quantitative values of metabolites. It is essential to consider the differences in water content between tumor and normal tissue to accurately quantify metabolic differences.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kento Imajo, Takaomi Kessoku, Yasushi Honda, Sho Hasegawa, Wataru Tomeno, Yuji Ogawa, Utaroh Motosugi, Yusuke Saigusa, Masato Yoneda, Hiroyuki Kirikoshi, Shoji Yamanaka, Daisuke Utsunomiya, Satoru Saito, Atsushi Nakajima
Summary: This study investigated the impact of hepatic iron overload on nonalcoholic fatty liver disease and validated the diagnostic accuracy of MRI-based R2* quantification in evaluating hepatic iron content and pathological findings in NAFLD. The results indicated that R2* >= 62.5 s(-1) is a promising non-invasive diagnostic modality for clinically important high grades of HIB associated with increased HIC.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Pierre Daude, Tangi Roussel, Thomas Troalen, Patrick Viout, Diego Hernando, Maxime Guye, Frank Kober, Sylviane Confort Gouny, Monique Bernard, Stanislas Rapacchi
Summary: This study proposes a standardized comparison method for open-source fat-water separation algorithms in proton density fat fraction (PDFF) and R2* quantification. Eight algorithms were compared in simulation, in vitro, and in vivo experiments, revealing discrepancies between the approaches. The results show that four algorithms have reliable performance, but the choice of fat spectrum model has a significant impact on R2* quantification.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Hiroaki Hayashi, Takashi Abe, Maki Otomo, Yuki Matsumoto, Masaharu Ono, Kosuke Ito, Yoshitaka Bito, Akihiro Haga
Summary: This study developed a novel method using quantitative parameter mapping magnetic resonance imaging (QPM-MRI) to visualize contrast according to myelin components in the human brain. The method was validated through experiments with healthy volunteers and a clinical case analysis. The results showed that the method effectively demonstrated myelin-weighted contrast and had quantitative characteristics.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Chemistry, Physical
Chenghan Li, Gregory A. Voth
Summary: Ab initio molecular dynamics (AIMD) is a popular approach for modeling complicated systems. However, its computational cost limits its application for large-scale simulations. This paper presents a computational approach that combines machine learning with path integral contraction schemes, achieving significant acceleration while maintaining accuracy.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2022)
Review
Physics, Applied
Nikolaus Weiskopf, Luke J. Edwards, Gunther Helms, Siawoosh Mohammadi, Evgeniya Kirilina
Summary: Quantitative magnetic resonance imaging and in vivo histology aim to characterize tissue microstructure of living brain, providing deeper understanding of MRI tissue contrast and more accurate image parameters as compared to traditional histology methods.
NATURE REVIEWS PHYSICS
(2021)
Article
Biochemical Research Methods
Bowen Song, Xinman Yin, Yubo Fan, Yanyu Zhao
Summary: This study develops a new imaging technique based on spatial frequency domain imaging to quantitatively map tissue water and lipid content using a regular silicon-based camera, reducing the cost while maintaining high accuracy.
JOURNAL OF BIOMEDICAL OPTICS
(2022)
Article
Neurosciences
Lingceng Ma, Jian Wu, Qinqin Yang, Zihan Zhou, Hongjian He, Jianfeng Bao, Lijun Bao, Xiaoyin Wang, Pujie Zhang, Jianhui Zhong, Congbo Cai, Shuhui Cai, Zhong Chen
Summary: This article introduces a novel mqMRI technique called MQMOLED, which is based on multiple overlapping-echo detachment imaging. It enables multi-parametric quantitative magnetic resonance imaging in a single shot. By utilizing multiple overlapping-echo signals, MQMOLED is robust to system imperfections and subject movements. The technique has been demonstrated to be accurate and repeatable in contrast-enhanced perfusion imaging of brain tumor patients, providing additional vascular density information.
Article
Radiology, Nuclear Medicine & Medical Imaging
Shilong Tang, Ye Xu, Xianfan Liu, Zhuo Chen, Yu Zhou, Lisha Nie, Ling He
Summary: The brain iron content of children with autism is lower than that of normal children, with significant differences in magnetic susceptibility values across different age groups.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tao Feng, Yizhang Zhao, Hongcheng Shi, Hongdi Li, Xuezhu Zhang, Guobao Wang, Patricia M. Price, Ramsey D. Badawi, Simon R. Cherry, Terry Jones
Summary: This study successfully derived parametric images using data from total-body PET system, demonstrating the potential of estimating early dynamics after F-18-FDG injection. The estimated parameter k(1) could be used as a clinical indicator for identifying abnormalities.
JOURNAL OF NUCLEAR MEDICINE
(2021)
Article
Chemistry, Multidisciplinary
Yuanjiao Yang, Yunlong Chen, Shiya Zhao, Huipu Liu, Jingxing Guo, Huangxian Ju
Summary: This study developed a quantitative SERS imaging strategy for mapping the O-GlcNAcylation distribution of single living cells. O-GlcNAcylated compounds (OGCs) were quantified through in situ azide labeling and a click reaction, allowing for convenient detection of OGCs in different areas of single living cells using a calibration curve obtained in vitro. This method demonstrated its practicality and expansibility in glycosylation related analysis through successfully mapping O-GlcNAcylation distribution in different cell lines and monitoring O-GlcNAcylation variation during the cell cycle.
Article
Biophysics
Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan
Summary: A novel data-driven technique for motion artefact suppression in MR images was developed using deep learning. The proposed method utilized a simulation framework to generate motion-corrupted images and an Inception-ResNet network architecture to suppress the motion artefacts. Validation on simulated and experimental datasets demonstrated the effectiveness of the proposed method, which outperformed traditional methods in terms of structural similarity index.
NMR IN BIOMEDICINE
(2022)
Article
Substance Abuse
Johanna K. Furtmann, Thorsten Sichtermann, Ana-Maria Oros-Peusquens, Sven Dekeyzer, Nadim J. Shah, Martin Wiesmann, Omid Nikoubashman
Summary: This study used a precise MRI sequence to measure the water content and volume in the brain of alcohol-intoxicated volunteers, and found no significant changes in both parameters.
ALCOHOL AND ALCOHOLISM
(2022)
Article
Neurosciences
Tanja Veselinovic, Ravichandran Rajkumar, Laura Amort, Jessica Junger, Nadim Jon Shah, Bruno Fimm, Irene Neuner
Summary: Summary: This study investigates the patterns of different network properties in three prominent resting-state networks (DMN, SN, and CEN), as well as their relation to cognitive performance. The results show that higher resting-state activity in the three networks may have an unfavorable effect on cognition, and the salience network exhibits low resting-state activity and functional connectivity in healthy subjects. These findings contribute to our understanding of the relevance of these resting-state networks for cognition.
BRAIN CONNECTIVITY
(2022)
Article
Neurosciences
Hasan Sbaihat, Ravichandran Rajkumar, Shukti Ramkiran, Abed Al-Nasser Assi, Joerg Felder, Nadim Jon Shah, Tanja Veselinovic, Irene Neuner
Summary: The growing demand for precise and reliable biomarkers in psychiatry has led to research interest in identifying quantifiable indicators from resting-state brain networks. This study investigates the reproducibility of four functional MRI parameters in three resting-state networks and finds a high level of stability and reproducibility, indicating the potential applicability of ultra-high-field MRI as a useful tool in the search for disease-relevant biomarkers.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Nicolas Kaulen, Ravichandran Rajkumar, Claudia Regio Brambilla, Joerg Mauler, Shukti Ramkiran, Linda Orth, Hasan Sbaihat, Markus Lang, Christine Wyss, Elena Rota Kops, Juergen Scheins, Bernd Neumaier, Johannes Ermert, Hans Herzog, Karl-Joseph Langen, Christoph Lerche, N. Jon Shah, Tanja Veselinovic, Irene Neuner
Summary: This study proposes a comprehensive processing pipeline for constructing standardized in vivo distributions of non-displaceable binding potential (BPND) and total distribution volume (VT). The resulting maps can be used for further research and provide a reference for clinical studies.
HUMAN BRAIN MAPPING
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Qingping Chen, N. Jon Shah, Wieland A. Worthoff
Summary: Sodium MRI plays a critical role in cell physiology but is limited by low signal-to-noise ratio and long acquisition times. Compressed sensing techniques have been shown to accelerate sodium imaging and improve image quality significantly. CS-based sodium MRI shows potential in clinical applications.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Neurosciences
N. Jon Shah, Zaheer Abbas, Dominik Ridder, Markus Zimmermann, Ana-Maria Oros-Peusquens
Summary: This study developed the first quantitative brain atlas for tissue water content at 3T and demonstrated its potential applications in detecting disease-related changes.
Article
Radiology, Nuclear Medicine & Medical Imaging
Boris Eberhardt, Benedikt A. Poser, N. Jon Shah, Joerg Felder
Summary: Spoke trajectory parallel transmit (pTX) excitation can mitigate B+1 inhomogeneities in ultra-high field MRI. This study proposes an intermediate method that combines a subset of acquired field maps with generative machine learning models to reduce pulse calibration time and provide more tailored excitation. Image-to-image translation and semantic image synthesis machine learning models based on generative adversarial networks (GANs) are used to deduce missing field maps, and a predictive machine learning model is employed for non-linear pulse design. Simulation results demonstrate comparable excitation homogeneity to state-of-the-art pulse design methods with halved calibration time when using a subset of calibration data and synthesized B+1 maps.
ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK
(2022)
Article
Psychiatry
Claudia Regio Brambilla, Tanja Veselinovic, Ravichandran Rajkumar, Jorg Mauler, Andreas Matusch, Andrej Ruch, Linda Orth, Shukti Ramkiran, Hasan Sbaihat, Nicolas Kaulen, Nibal Yahya Khudeish, Christine Wyss, Karsten Heekeren, Wolfram Kawohl, Elena Rota Kops, Lutz Tellmann, Juergen Scheins, Frank Boers, Bernd Neumaier, Johannes Ermert, Markus Lang, Stefan Stuesgen, Hans Herzog, Karl-Josef Langen, N. Jon Shah, Christoph W. Lerche, Irene Neuner
Summary: In this study, the feasibility of using a specific antagonist radiotracer [C-11]ABP688 for evaluating changes in glutamatergic neurotransmission was assessed. The study found that the mismatch-negativity (MMN) task played a role in glutamatergic neurotransmission, and the metabotropic glutamate receptor 5 (mGluR5) may be indirectly modulated by these changes.
TRANSLATIONAL PSYCHIATRY
(2022)
Review
Environmental Sciences
Michail Ntikas, Ferdinand Binkofski, N. Jon Shah, Magdalena Ietswaart
Summary: Sports have numerous benefits for cardiovascular fitness, psychological resilience, and cognition. However, the amount and type of practice are crucial in obtaining these benefits and avoiding side effects, especially in contact sports. Studies have shown that repeated sub-concussive head impacts in contact sports can lead to cognitive impairment and brain health changes. Various biomarkers, including cognitive and neuroimaging biomarkers, indicate adverse effects of sub-concussive impacts. This review highlights the current scientific evidence, identifies areas for further investigation, and emphasizes the need to redefine certain aspects of contact sports to minimize sub-concussive impacts and concussions.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Aurelien Destruel, Franck Mauconduit, Aurelien Massire, Redha Abdeddaim, Maxime Guye, Vincent Gras, Virginie Callot
Summary: The study evaluated and improved the satTFL method for cervical spine at 7 T, proposing a novel interferometric encoding optimization. Optimized B-1 maps were closer to actual flip angle imaging, especially in low SNR regions, and were successfully used for improved pTx-pulse generation in quantitative T-1 mapping.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Son Chu, Vincent Gras, Franck Mauconduit, Aurelien Massire, Nicolas Boulant, Shajan Gunamony
Summary: This work presents a new workflow to investigate and minimize RF coil losses, and to choose the optimum coil configuration for imaging. The coil element length, and the shield diameter and length were further optimized using electromagnetic (EM) simulations. Results have been validated using phantom measurements, demonstrating the need for optimizing the RF shield in conjunction with array element design to achieve efficient excitation at 11.7T.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Thaddee Delebarre, Vincent Gras, Franck Mauconduit, Alexandre Vignaud, Nicolas Boulant, Luisa Ciobanu
Summary: The purpose of this study is to optimize the homogeneity of presaturation module in a CEST acquisition using pTx at 7T. An optimized pTx-CEST presaturation scheme is designed based on precomputed universal pulses, and the optimization is performed by minimizing the L2-norm between the effective B1,RMS+ and a given target under VOPs supervision. The proposed method is evaluated through simulations and experiments and shows superior performance compared to CP and other pTx approaches.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Review
Oncology
Karl-Josef Langen, Norbert Galldiks, Joerg Mauler, Martin Kocher, Christian Peter Filss, Gabriele Stoffels, Claudia Regio Brambilla, Carina Stegmayr, Antje Willuweit, Wieland Alexander Worthoff, Nadim Jon Shah, Christoph Lerche, Felix Manuel Mottaghy, Philipp Lohmann
Summary: Advanced MRI methods and PET using radiolabelled amino acids provide valuable additional information for brain tumour diagnostics. While the hybrid PET/MRI has allowed for the convergence of these methods, simultaneous imaging has limited relevance in clinical neuro-oncology. A multimodal approach that combines PET and MRI shows promising improvement in the diagnosis of cerebral gliomas.
Article
Radiology, Nuclear Medicine & Medical Imaging
Blanche Bapst, Aurelien Massire, Franck Mauconduit, Vincent Gras, Nicolas Boulant, Juliette Dufour, Benedetta Bodini, Bruno Stankoff, Alain Luciani, Alexandre Vignaud
Summary: This study redefined the optimization of MP2RAGE parameters to achieve more time-efficient MR acquisitions and used a T-1-based synthetic imaging framework to obtain on-demand T-1-weighted contrasts. The experimental results showed that the proposed time-efficient MP2RAGE protocols significantly reduced acquisition time or improved spatial resolution scans, while generating all typical brain contrasts derived from MP2RAGE.
MAGNETIC RESONANCE IN MEDICINE
(2023)