Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling. [PDF]
J Magn Reson ImagingABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Wang X +8 more
europepmc +2 more sources
Dynamic Contrast Enhanced-Magnetic Resonance Fingerprinting (DCE-MRF) Improves Detection of Induced Vascular Perfusion Reduction in a Mouse Breast Cancer Model. [PDF]
Magn Reson MedABSTRACT Purpose Dynamic contrast‐enhanced MRI (DCE‐MRI) can assess tumor perfusion using pharmacokinetic models. However, poor DCE‐MRI reproducibility from reliance on conventional T1‐weighted MRI has limited clinical translation. We evaluated whether Dynamic Contrast Enhanced‐Magnetic Resonance Fingerprinting (DCE‐MRF), which directly generates ...
MacAskill CJ +15 more
europepmc +2 more sources
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots
Frontiers in Robotics and AI, 2022 We address the problem of learning relationships on state variables in Partially Observable Markov Decision Processes (POMDPs) to improve planning performance.
Maddalena Zuccotto +4 more
doaj +1 more source
Properties and mechanism of ionic liquid/silicone oil based magnetorheological fluids
International Journal of Smart and Nano Materials, 2022 A magnetorheological fluid (MRF) is a smart composite suspension composed of nonmagnetic liquid and soft magnetic particles. Carrier fluids can considerably influence the performance of MRFs; therefore, to investigate the effect of carrier fluids on MRFs,
Yu Tong +7 more
doaj +1 more source
Technical Review of Magnetic Resonance Fingerprinting Applications in Cerebral Physiology. [PDF]
Magn Reson MedABSTRACT Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mapping of multiple tissue properties through innovative acquisition and computational methods. This review focuses on the application of MRF techniques to cerebral physiology, emphasizing advancements in vascular imaging and the integration of ...
Lin CT, Lu H, Fan AP.
europepmc +2 more sources
Design and application of magneto-rheological fluid [PDF]
, 2007 Magneto-Rheological Fluid (MRF) technology is an old “newcomers” coming to the market at high speed. Various industries including the automotive industry are full of potential MRF applications.
A. Grunwald +6 more
core +1 more source
Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting
NeuroImage, 2022 MR fingerprinting (MRF) is a promising method for quantitative characterization of tissues. Often, voxel-wise measurements are made, assuming a single tissue-type per voxel. Alternatively, the Sparsity Promoting Iterative Joint Non-negative least squares
L. Nunez-Gonzalez +6 more
doaj +1 more source
Accelerated magnetic resonance fingerprinting using soft-weighted key-hole (MRF-SOHO). [PDF]
PLoS ONE, 2018 OBJECT:To develop a novel approach for highly accelerated Magnetic Resonance Fingerprinting (MRF) acquisition. MATERIALS AND METHODS:The proposed method combines parallel imaging, soft-gating and key-hole approaches to highly accelerate MRF acquisition ...
Gastao Cruz +5 more
doaj +1 more source
Journal of Intelligent Systems, 2019 The recent advancements in information technology and the web tend to increase the volume of data used in day-to-day life. The result is a big data era, which has become a key issue in research due to the complexity in the analysis of big data.
Kulkarni Omkaresh +2 more
doaj +1 more source
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting [PDF]
, 2019 Purpose: Magnetic resonance fingerprinting (MRF) methods typically rely on dictio-nary matching to map the temporal MRF signals to quantitative tissue parameters.
Eldar YC +4 more
core +2 more sources