Results 151 to 160 of about 206,373 (329)

Multi-centre, multi-vendor reproducibility of 7T QSM and R2* in the human brain: Results from the UK7T study

NeuroImage, 2020
Introduction: We present the reliability of ultra-high field T2* MRI at 7T, as part of the UK7T Network's “Travelling Heads” study. T2*-weighted MRI images can be processed to produce quantitative susceptibility maps (QSM) and R2* maps.
Catarina Rua, William T. Clarke, Ian D. Driver, Olivier Mougin, Andrew T. Morgan, Stuart Clare, Susan Francis, Keith W. Muir, Richard G. Wise, T. Adrian Carpenter, Guy B. Williams, James B. Rowe, Richard Bowtell, Christopher T. Rodgers   +13 more
doaj  

Mapping of quantitative trait loci affecting resistance/susceptibility to Sarcocystis miescheriana in swine

, 2007
Gerald Reiner, Damaris Kliemt, Hermann Willems, T. Berge, R. Fischer, Florian Köhler, S. Hepp, B Hertrampf, Arwid Daugschies, H. Geldermann, Ute Mackenstedt, Horst Zahner   +11 more
openalex   +1 more source

Biomimetic Nanomedicines Deliver Naringin for Enhanced Acute Liver Failure Therapy via Balanced Regulation of Hepatocyte Oxidative Stress and Kupffer Cell Inflammation

Advanced Functional Materials, EarlyView.
A biomimetic nanomedicine (RBLN) constructed by loading natural antioxidants to clinically used layered double hydroxide nanoparticles is surface coated with fresh or senescent red blood cell membrane for balanced drug delivery to hepatocytes and KCs, thereby simultaneously alleviating liver oxidant stress and inflammation for effective drug‐induced ...
Jiahui Shao, Maoze Wang, Jinling Huang, Yu Wang, Jing Zhao, Ran Wang, Zhi Ping Xu, Jianping Jiang, Lingxiao Zhang   +8 more
wiley   +1 more source

Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds [PDF]

, 2017
Matthew J. Cronin, Nian Wang, Kyle Decker, Hongjiang Wei, Wenzhen Zhu, Chunlei Liu   +5 more
openalex   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Associations Between Cortical Iron Accumulation and Memory in Patients With Amnestic Mild Cognitive Impairment and in Cognitively Normal Individuals

Brain and Behavior
Background and Purpose Brain iron accumulation is recognized as a cause and therapeutic target in Alzheimer's disease (AD). We investigated the differences in both volume and iron accumulation between cognitively normal (CN) older adults and patients ...
Subin Lee, Suhyeon Lee, Ina Park, Yeonsil Moon, Younghee Yim, Jongho Lee, June Sic Kim, Won‐Jin Moon   +7 more
doaj   +1 more source

Combining Quantitative Susceptibility Mapping with Automatic Zero Reference (QSM0) and Myelin Water Fraction Imaging to Quantify Iron-Related Myelin Damage in Chronic Active MS Lesions [PDF]

, 2017
Yihao Yao, Thanh D. Nguyen, Sneha Pandya, Y. Zhang, Sandra M. Hurtado Rúa, İlhami Kovanlıkaya, Amy Kuceyeski, Zhe Liu, Yi Wang, Susan A. Gauthier   +9 more
openalex   +1 more source

Hole Transfer Dynamics in Thin Films of Mixed‐Dimensional Quasi‐2D Perovskites

Advanced Functional Materials, EarlyView.
Charge transfer dynamics in quasi‐2D perovskite (PEA2MAn−1PbnI3n+1), grown with a distinct dimensionality gradient are investigated. Selective excitation of the n = 4 phase reveals efficient hole transfer to n = 2 and n = 3 within tens of picoseconds, while n = 1 acts as a hole‐blocking layer. These findings highlight the importance of minimizing n = 1
Giuseppe Ammirati, Stefano Turchini, Francesco Toschi, Patrick O'Keeffe, Alessandra Paladini, Faustino Martelli, Reem Khanfar, Daimiota Takhellambam, Sara Pescetelli, Antonio Agresti, Daniele Catone   +10 more
wiley   +1 more source

Spatially Adaptive Regularization in Total Field Inversion for Quantitative Susceptibility Mapping

iScience, 2020
Summary: Adaptive Total Field Inversion is described for quantitative susceptibility mapping (QSM) reconstruction from total field data through a spatially adaptive suppression of shadow artifacts through spatially adaptive regularization.
Priya S. Balasubramanian, Pascal Spincemaille, Lingfei Guo, Weiyuan Huang, Ilhami Kovanlikaya, Yi Wang   +5 more
doaj  

Noninvasive Assessment of Oxygen Extraction Fraction in Chronic Ischemia Using Quantitative Susceptibility Mapping at 7 Tesla [PDF]

, 2017
Ikuko Uwano, Kohsuke Kudo, Ryota Sato, Kuniaki Ogasawara, Hiroyuki Kameda, Jun-ichi Nomura, Futoshi Mori, Fumio Yamashita, Kenji Ito, Kunihiro Yoshioka, Makoto Sasaki   +10 more
openalex   +1 more source