Results 51 to 60 of about 6,973,682 (218)
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
EPUN: Efficient 2D Phase Unwrapping With a Lightweight Neural Network
Phase unwrapping is a fundamental task. In recent years, deep learning has been widely used for phase unwrapping in different fields. Nevertheless, along with the unwrapping performance improvement of deep networks, their structures become more and more ...
Zhiliang Zhang +3 more
doaj +1 more source
This paper reveals internal resonance mismatch‐controlled dissipative bistability collapse in a coupled micromechanical resonator. Tuning δIR changes both internal‐mode amplitude and phase‐dependent feedback. For negative mismatch, Duffing bistability survives.
Jianlin Chen +4 more
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
The comparison of several time phase unwrapping methods
: One of the key steps in 3D optical shape measurement based on the structured light projection is the phase unwrapping. The unwrapping issue about the complicated phase map is also the difficult step of the methods. The temporal phase unwrapping provide
zhaowenjing, chen wen jing, su xian yu
doaj
An alternative method for phase-unwrapping of interferometric data [PDF]
In this paper we present a novel algorithm for phase unwrapping where only a subset of data from the wrapped phase map is used to reconstruct the unwrapped phase map as a linear combination of radial basis functions (RBF’s).
de la Rosa-Miranda E. +9 more
doaj +1 more source
Vision‐Based Tactile Finger Integrating Fingerpad and Nail Sensing for Robotic Manipulation
This vision‐based tactile finger captures nail force and fingerpad force, contact position, and in‐plane orientation with one internal camera. An external camera recognizes the target and presets finger inclination from object height. The compact dual‐sensing design supports tactile‐guided table contact and reliable grasping of objects ranging from ...
Hao Zhou, Kazuhiro Shimonomura
wiley +1 more source
Quantum Optimization for Phase Unwrapping in SAR Interferometry
Phase unwrapping is the reconstruction of a phase given its values mod 2$\pi$. Phase unwrapping is an important image processing technique used in synthetic aperture radar interferometry, in the context of height estimation and ground deformation.
Kay Glatting +3 more
doaj +1 more source
Comparative Study of Gas and Liquid Flow in Packed Beds Using Phase‐Contrast MRI
This work presents applications of phase‐contrast magnetic resonance imaging (MRI) to investigate fluid flow fields and temperature in packed beds. Comparison of ethane (C2H6) gas flow with that of water flow is done at similar flow conditions. The temperature of water is also measured using MRI.
Maitreyi Sangal +4 more
wiley +1 more source
Deep Learning for InSAR Phase Filtering: An Optimized Framework for Phase Unwrapping
Interferometric Synthetic Aperture Radar (InSAR) data processing applications, such as deformation monitoring and topographic mapping, require an interferometric phase filtering step.
G. Murdaca, A. Rucci, C. Prati
semanticscholar +1 more source

