Results 81 to 90 of about 71,044 (233)

Simulation‐Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M. Atlagich, Roser Sala‐Llonch, Marco Palombo, Els Fieremans, Dmitry S. Novikov, Raquel Perez‐Lopez, Francesco Grussu   +11 more
wiley   +1 more source

Matrix Methods for Estimating the Coherence Functions from Estimates of the Cross-Spectral Density Matrix

Shock and Vibration, 1996
It is shown that the usual method for estimating the coherence functions (ordinary, partial, and multiple) for a general multiple-input! multiple-output problem can be expressed as a modified form of Cholesky decomposition of the cross-spectral density ...
D.O. Smallwood
doaj   +1 more source

Enhanced 2D Spiral Cine DENSE MRI Using Low‐Rank Denoising for Improved Apparent Signal‐to‐Noise Ratio, Spatial Resolution, Efficiency, Accuracy, and Accessibility

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a denoising technique for displacement encoding with stimulated echoes (DENSE) MRI that improves spatial resolution, efficiency, and accuracy, and enhances accessibility by implementing DENSE MRI at 0.55 T. Methods We developed a low‐rank denoising technique, which leverages multidimensional spiral cine DENSE MRI data for ...
Shu‐Fu Shih, Yuxiao Wu, Siyue Li, Zhengyang Ming, Arutyun Pogosyan, Fei Han, Holden H. Wu, J. Paul Finn, Kim‐Lien Nguyen, Xiaodong Zhong   +9 more
wiley   +1 more source

A singular value decomposition approach for improved taxonomic classification of biological sequences

BMC Genomics, 2011
Background Singular value decomposition (SVD) is a powerful technique for information retrieval; it helps uncover relationships between elements that are not prima facie related.
Santos Anderson R, Santos Marcos A, Baumbach Jan, McCulloch John A, Oliveira Guilherme C, Silva Artur, Miyoshi Anderson, Azevedo Vasco   +7 more
doaj   +1 more source

Iron-binding cellular profile of transferrin using label-free Raman hyperspectral imaging and singular value decomposition (SVD). [PDF]

Free Radic Biol Med, 2021
Tubbesing K, Khoo TC, Bahreini Jangjoo S, Sharikova A, Barroso M, Khmaladze A.   +5 more
europepmc   +1 more source

Autonomy for MRI Field Cameras: Synchronization, Self‐Calibration, and Sequence Detection

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This work aims to provide a workflow for operating NMR field probes in MR scanners independently of pulse programming, scanner TTL trigger pulses and dedicated calibration sequences. Methods An independent timing system and limited prior knowledge about relative probe positions enable synchronous field measurement, probe position ...
Oskar Björkqvist, Klaas P. Pruessmann
wiley   +1 more source

Matrices: un modelo para las fotografías digitales

Modelling in Science Education and Learning, 2011
En este trabajo se resalta la relación que existe entre dos disciplinas, aparentemente muy distintas: la fotografía digital y las matemáticas. En efecto, las imágenes digitales -que todos manejamos hoy en día- se modelizan matemáticamente como matrices ...
María Elena Domínguez Jiménez
doaj   +1 more source

Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz, Bilal Tasdelen, Ibrahim K. Ozaslan, Mihailo R. Jovanovic, Ye Tian, Krishna S. Nayak   +5 more
wiley   +1 more source

SVD-LSTM-based rainfall threshold prediction for rainfall-induced landslides in Chongqing

Geomatics, Natural Hazards & Risk
Rainfall-induced landslides in Chongqing, a region of significant interest due to its high incidence rate, have traditionally been predicted using empirical rainfall thresholds.
Chao He, Chaofan Wang, Junwen Peng, Wenhui Jiang, Jing Liu   +4 more
doaj   +1 more source

Signal and Contrast Optimization With Predicted Excitations (SCOPE) for Accelerating Large FOV Body Imaging at UHF

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Large FOV turbo‐spin‐echo (TSE) imaging at ultra‐high field (UHF) remains challenging due to B1+ inhomogeneity and peak specific absorption rate (pSAR) limitations. This work presents a new time‐interleaved acquisition of modes (TIAMO) framework called SCOPE (Signal and Contrast Optimization with Predicted Excitations), which overcomes
Tobey D. Haluptzok, Simon Schmidt, Gregory J. Metzger   +2 more
wiley   +1 more source