Results 121 to 130 of about 10,590 (247)

Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative imaging, but high‐resolution 3D reconstructions remain computationally expensive due to the NUFFTs required at every iteration, and the commonly used Locally Low Rank (LLR) regularization becomes ineffective at high acceleration.
Yonatan Urman, Mark Nishimura, Daniel R. Abraham, Xiaozhi Cao, Kawin Setsompop   +4 more
wiley   +1 more source

Feasibility and SNR Performance of Hyperpolarized 129Xe Gas Exchange Imaging Using a Balanced SSFP Sequence

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a balanced SSFP (bSSFP) sequence for pulmonary 129Xe dissolved‐phase imaging based on a previously described double‐echo sequence facilitating separation into red blood cell and membrane signals, to test its feasibility and compare its SNR performance and imaging results to an analogous FLASH sequence.
Agilo L. Kern, Marcel Gutberlet, Jens M. Hohlfeld, Frank Wacker, Jens Vogel‐Claussen   +4 more
wiley   +1 more source

Generative MR Multitasking With Complex‐Harmonic Cardiac Encoding: Bridging the Gap Between Gated Imaging and Real‐Time Imaging

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a unified image reconstruction framework that bridges real‐time and gated cardiac MRI, including quantitative MRI. Methods We introduce generative multitasking, which learns subject‐ and dataset‐specific implicit neural temporal bases from sequence timings and an interpretable latent space for cardiac and respiratory motion.
Xinguo Fang, Anthony G. Christodoulou
wiley   +1 more source

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman, Olivier Jaubert, Mark Wrobel, Tina Yao, Ruaraidh Campbell, Rebecca R Baker, Ruta Virsinskaite, Daniel Knight, Michael Quail, Jennifer A Steeden, Vivek Muthurangu   +10 more
wiley   +1 more source

Self‐calibrated B1+ and B0 Field Inhomogeneities Estimation (SAFE) in 3D Magnetic Resonance Fingerprinting

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop SAFE, a self‐calibrated framework to estimate B1+ and B0 field inhomogeneities directly from conventional magnetic resonance fingerprinting (MRF) acquisitions and improve its quantification accuracy. Methods SAFE utilized a two‐step approach. First, two physics‐informed image markers are extracted from the MRF data to create
Mengze Gao, Xiaozhi Cao, Daniel Raz Abraham, Zihan Zhou, Nan Wang, Congyu Liao, Yang Yang, Hanlin Sun, Hongwei Li, Yan Bai, Yu Shen, Yaping Wu, Meiyun Wang, Kawin Setsompop   +13 more
wiley   +1 more source

Enhanced Control Strategies for Residual‐Vibration Suppression and Adaptive Tracking in Flexible Manipulator Under Unknown Bounded Disturbances

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper proposes a hybrid control strategy for flexible‐link manipulators that combines offline trajectory planning with adaptive tracking to suppress residual elastic vibration (REV) under unknown bounded disturbances. A rigid–flexible coupling dynamics model is first established using the floating‐frame method and Lagrange's equations ...
Mingming Shi, Bao Rong, Xiaoting Rui, Guoping Wang, Xiaoli Dong, Xin Zhao   +5 more
wiley   +1 more source

A Physics‐Informed Koopman Operator Framework for Decentralized Discrete‐Time Sequential Control of a Modular Aerial Parcel Delivery Robot

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper presents a Physics‐Informed Koopman Operator (PIKO) framework integrated with a discrete‐time Sequential Action Control (SAC) for real‐time, decentralized control of a modular aerial parcel delivery robot composed of multiple independently actuated propeller modules.
Archit Krishna Kamath, Peng Shi, Ramesh K. Agarwal   +2 more
wiley   +1 more source

Efficient Techniques Based on Sparse Representation for Classifying High-dimensional Multiclass Microarray Data. [PDF]

J Med Signals Sens
Miri M, Sadeghi MT, Abootalebi V.
europepmc   +1 more source

A Chance‐Constrained Model for a Production Routing Problem With Uncertain Availability of Vehicles

Networks, EarlyView.
ABSTRACT The Production Routing Problem (PRP) is a complex integrated problem that allows for the achievement of competitive advantages, such as better management of inventory, reduction in operational costs and lead times, improvement in efficiency and customer service, and better response to market changes.
Alline Zanette, Michel Gendreau, Walter Rei   +2 more
wiley   +1 more source

A conjecture of Warnaar-Zudilin from deformations of lie superalgebras. [PDF]

Res Math Sci
Creutzig T, Garner N.
europepmc   +1 more source