Machine learning in robotic ultrasound imaging: Challenges and perspectives
This article reviews recent advances in intelligent robotic ultrasound imaging systems. We
begin by presenting the commonly employed robotic mechanisms and control techniques in …
begin by presenting the commonly employed robotic mechanisms and control techniques in …
[HTML][HTML] Cardiovascular Medical Image and Analysis based on 3D Vision: A Comprehensive Survey
With the rapid development of 3D vision and computer graphics technology, the way
humans interact with the world has undergone significant transformations. 3D vision-related …
humans interact with the world has undergone significant transformations. 3D vision-related …
PA-NeRF, a neural radiance field model for 3D photoacoustic tomography reconstruction from limited Bscan data
We introduce a novel deep-learning-based photoacoustic tomography method called
Photoacoustic Tomography Neural Radiance Field (PA-NeRF) for reconstructing 3D …
Photoacoustic Tomography Neural Radiance Field (PA-NeRF) for reconstructing 3D …
Nerf-us: Removing ultrasound imaging artifacts from neural radiance fields in the wild
Current methods for performing 3D reconstruction and novel view synthesis (NVS) in
ultrasound imaging data often face severe artifacts when training NeRF-based approaches …
ultrasound imaging data often face severe artifacts when training NeRF-based approaches …
Radar Fields: An Extension of Radiance Fields to SAR
Radiance fields have been a major breakthrough in the field of inverse rendering novel view
synthesis and 3D modeling of complex scenes from multi-view image collections. Since their …
synthesis and 3D modeling of complex scenes from multi-view image collections. Since their …
DaReNeRF: Direction-aware Representation for Dynamic Scenes
Addressing the intricate challenge of modeling and re-rendering dynamic scenes most
recent approaches have sought to simplify these complexities using plane-based explicit …
recent approaches have sought to simplify these complexities using plane-based explicit …
Neural Radiance Fields in Medical Imaging: Challenges and Next Steps
Neural Radiance Fields (NeRF), as a pioneering technique in computer vision, offer great
potential to revolutionize medical imaging by synthesizing three-dimensional …
potential to revolutionize medical imaging by synthesizing three-dimensional …
Neural implicit surface reconstruction of freehand 3D ultrasound volume with geometric constraints
H Chen, L Kumaralingam, S Zhang, S Song… - Medical Image …, 2024 - Elsevier
Abstract Three-dimensional (3D) freehand ultrasound (US) is a widely used imaging
modality that allows non-invasive imaging of medical anatomy without radiation exposure …
modality that allows non-invasive imaging of medical anatomy without radiation exposure …
Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound
Ultrasound (US) imaging is widely used in diagnosing and staging abdominal diseases due
to its lack of non-ionizing radiation and prevalent availability. However, significant inter …
to its lack of non-ionizing radiation and prevalent availability. However, significant inter …
ACnerf: enhancement of neural radiance field by alignment and correction of pose to reconstruct new views from a single x-ray
M Sun, Y Zhu, H Li, J Ye, N Li - Physics in Medicine & Biology, 2024 - iopscience.iop.org
Objective. Computed tomography (CT) is widely used in medical research and clinical
diagnosis. However, acquiring CT data requires patients to be exposed to considerable …
diagnosis. However, acquiring CT data requires patients to be exposed to considerable …