About the performance of multi-dimensional radial self-navigation incorporating compressed sensing for free-breathing coronary MRI

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Ever growing pixel acquisition rates in the fields of augmented reality, autonomous driving and robotics have increased interest in solid state beam scanning without moving parts. Modern photonic integrated laser ranging advances towards passive beam steer ...

In this thesis, we address the complex issue of collision avoidance in the joint space of robots. Avoiding collisions with both the robot's own body parts and obstacles in the environment is a critical constraint in motion planning and is crucial for ensur ...

Fast and sensitive infrared (IR) photodetection is of interest for depth imaging that is fundamental to machine vision, augmented reality, and autonomous driving. Colloidal quantum dots (CQDs) are appealing candidates for this goal: in contrast with III-V ...

In this work, we propose a data-driven approach for real-time self-collision avoidance in multi-arm systems. The approach consists of modeling the regions in joint-space that lead to collisions via a Self-Collision Avoidance (SCA) boundary and use it as a ...

Modern cars can support their drivers by assessing and autonomously performing different driving maneuvers based on information gathered by in-car sensors. We propose that brain–machine interfaces (BMIs) can provide complementary information that can ease ...

Light detection and ranging is widely used in science and industry. Over the past decade, optical frequency combs were shown to offer advantages in optical ranging, enabling fast distance acquisition with high accuracy. Driven by emerging high-volume appli ...

Fluorescence microscopy is a widespread tool in biological research. It is the primary modality for bioimaging and empowers the study and analysis of multitudes of biological processes. It can be applied to fixed biosamples, that is samples with frozen bio ...

Purpose Respiratory motion correction remains a challenge in coronary magnetic resonance imaging (MRI) and current techniques, such as navigator gating, suffer from sub-optimal scan efficiency and ease-of-use. To overcome these limitations, an image-based ...

The main challenge for cardiac MRI is motion. To account for respiratory motion, k-space-based self- navigation approaches have recently been introduced [1]. We took self-navigation to the next level by exploiting an image-based beat-to-beat respiratory mo ...

About the performance of multi-dimensional radial self-navigation incorporating compressed sensing for free-breathing coronary MRI

Chattez avec Graph Search

Chaotic microcomb inertia-free parallel ranging

Implicit Distance Functions: Learning and Applications in Robotics

Colloidal quantum dot photodetectors with 10-ns response time and 80% quantum efficiency at 1,550 nm

Multi-Arm Self-Collision Avoidance: A Sparse Solution for a Big Data Problem

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

Ultrafast optical ranging using microresonator soliton frequency combs

Image processing on reconfigurable hardware for continuous monitoring of fluorescent biomarkers in cell cultures

Self-Navigation with Compressed Sensing for 2D translational Motion Correction in Free-Breathing Coronary MRI: a Feasibility Study

Multi-dimensional radial self-navigation with non-linear reconstruction for free-breathing coronary MRI