Results 141 to 150 of about 1,268 (239)

Lower limb intelligent rehabilitation robot based on human-gait coupling, spatiotemporal gait sensing, and fuzzy PID control. [PDF]

Sci Rep
Zhao J, Zou G, Zhao Q, Bao M, Ju X, Luo Y.   +5 more
europepmc   +1 more source

Fuzzy Rule Interpolation by the Conservation of Relative Fuzziness

Fuzzy Rule Interpolation by the Conservation of Relative Fuzziness
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Respiratory Motion‐Corrected Model‐Based 3D Water‐Fat MRA of the Thorax at 0.55 T

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The goal of this study was to develop a 5‐min 3D MRA acquisition at 0.55 T with predictable scan time, 100% data efficiency, and robust water‐fat separation. Methods For full data efficiency, the proposed method combined self‐gating with retrospective motion correction while ensuring a predictable 5‐min scan time.
Robert Stoll, Christoph Kolbitsch, Michaela Schmidt, Marcel Dominik Nickel, Tobias Schaeffter, Daniel Giese   +5 more
wiley   +1 more source

Assessment of coastal bedrock groundwater quality in Jiaodong Peninsula via extension cloud model and resampling strategy. [PDF]

Sci Rep
Dong W, Zhang B, Hu X, Yang Y, Wang Z, Li B.   +5 more
europepmc   +1 more source

Bright Ferritin for Non‐Invasive MRI Monitoring of the Fate of Transplanted hPSC‐Cardiomyocytes in the Infarcted Rat Heart

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To demonstrate that a recently reported bright ferritin magnetic resonance imaging (MRI) platform can track transplanted human pluripotent stem cell (hPSC)‐derived cardiomyocytes (hPSC‐CMs) longitudinally and on‐demand in the rat heart.
Keyu Zhuang, Faisal J. Alibhai, Beiping Qiang, Rocco Romagnuolo, Kyle D. W. Vollett, Bradley K. C. Freeman, M. Juliana Gomez‐Garcia, Tamilla Sadikov Valdman, Tameshwar Ganesh, Yu‐Qing Zhou, Hai‐Ying Mary Cheng, Michael A. Laflamme, Hai‐Ling Margaret Cheng   +12 more
wiley   +1 more source

Data inherent assessment of electrical equipment by failure pattern and self-evaluation decision-making algorithm. [PDF]

Sci Rep
Aranizadeh A, Vahidi B, Khorsandi A.
europepmc   +1 more source

Optimized Detection of Left Ventricular Hyperpolarized [1‐13C]Pyruvate Signal in Human Cardiac Metabolic Imaging

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study aimed to improve the analysis of the left ventricular (LV) blood pool hyperpolarized [1‐13C]pyruvate signal for a more reliable quantification of downstream metabolic outcome. Methods Hyperpolarized [1‐13C]pyruvate magnetic resonance spectroscopic images were acquired dynamically at 3 Tesla in 106 participants (NCT03685175).
Fatemeh Khashami, Ivan E. Dimitrov, Maximilian Fuetterer, Stefan Glöggler, Bei Zhang, Egzona Tan, Sebastian Kozerke, Anke Henning, Tarique Hussain, Craig R. Malloy, Nisha Unni, Vlad G. Zaha, CTOX Trial Investigator(s), Sheeba Cantanelli, Isaac Chan, Suzanne Cole, Suzanne Conzen, Glenda Delgado, Deborah Farr, Joshua Gruber, Barbara Haley, Dawn Klemow, Jenny Li, Heather McArthur, Alka Mallik, Poorni Manohar, Ina Patel, Namrata Peswani, Sangeetha Reddy, Navid Sadeghi, Samira Syed   +30 more
wiley   +1 more source

Optimizing Selective RF Pulses for Enhanced Signal Stability in Turbo Spin Echo Using a Differentiable Extended Phase Graph Model

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To improve slice profile consistency across echo trains in turbo spin echo (TSE) imaging, thereby reducing image blurring and increasing the accuracy of multi echo spin echo T2$$ {T}_2 $$ mapping. Methods Excitation and refocusing RF pulses were optimized for TSE using a differentiable extended phase graph model that incorporates the ...
Madison M. Augelli, Anuj Sharma, Mark A. Griswold, William A. Grissom   +3 more
wiley   +1 more source

An effective cyberbullying-flashing identification on whatsapp using PTS-GReLU-GRU with harmful level prediction. [PDF]

Sci Rep
Karpagam M, Naveenkumar N, Panguluri V, Hanuman CRS, Usharani R, Priya S, Sharma PC.   +6 more
europepmc   +1 more source

Deep‐Learning‐Based Image Reconstruction to Improve End‐Diastolic and Systolic Cardiac T1 Mapping

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an image reconstruction method that enables increased spatial resolution cardiac T1 mapping in both the end‐diastolic and systolic phase, that shows high T1 agreement with the clinical standard. The resolution gain is achieved by increasing the acceleration rate of MOLLI single‐shot images to R = 4, while maintaining a ...
Daniel Amsel, Jens Wetzl, Daniel Giese, Christoph Tillmanns, Rolf Gebker, Kelvin Chow, Michaela Schmidt, Andreas Lingg, Jens Kübler, Patrick Krumm, Thomas Küstner   +10 more
wiley   +1 more source