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 …
CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization
Multi-contrast image registration is a challenging task due to the complex intensity
relationships between different imaging contrasts. Conventional image registration methods …
relationships between different imaging contrasts. Conventional image registration methods …
2D-3D Deformable Image Registration of Histology Slide and Micro-CT with ML-based Initialization
J Chen, M Ronchetti, V Stehl, V Nguyen… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent developments in the registration of histology and micro-computed tomography ({\mu}
CT) have broadened the perspective of pathological applications such as virtual histology …
CT) have broadened the perspective of pathological applications such as virtual histology …
Is registering raw tagged-MR enough for strain estimation in the era of deep learning?
Magnetic Resonance Imaging with tagging (tMRI) has long been utilized for quantifying
tissue motion and strain during deformation. However, a phenomenon known as tag fading …
tissue motion and strain during deformation. However, a phenomenon known as tag fading …