In the past decade, medical robotics has gained significant traction within the surgical field.
While the introduction of fully autonomous robotic systems for surgical procedures still …

Ultrasound elastography is a non-invasive medical imaging technique that maps
viscoelastic properties to characterize tissues and diseases. Elastography can be divided …

Our primary objective of this paper was to extend a previously published 2-D coupled
subsample tracking algorithm for 3-D speckle tracking in the framework of ultrasound breast …

Abstract Convolutional Neural Networks (CNNs) have been increasingly deployed in many
applications, including safety critical system such as healthcare and autonomous vehicles …

Introduction. The introduction of robotic-guided procedures in surgical techniques has
brought an increase in the accuracy and control of resections. Surgery has evolved as a …

This chapter aims to discuss and explore robotic surgery with the assistance of ultrasound
(US) guidance. It introduces the categories and principles of commonly used US imaging …

Now, with the availability of 3-D ultrasound data, a lot of research efforts are being devoted
to developing 3-D ultrasound strain elastography (USE) systems. Because 3-D motion …

The paper presents benchmarking a multi-stream application processing a set of input data
arrays. Tests have been performed and execution times measured for various numbers of …

Purpose A five-dimensional ultrasound (US) system is proposed as a real-time pipeline
involving fusion of 3D B-mode data with the 3D ultrasound elastography (USE) data as well …

This thesis proposes a novel guidance concept for autonomous surgical robots using
ultrasound imaging and advanced artificial intelligence techniques. Automatic real-time …