Introduction:
In the realm of medical imaging, the integration of robotics with ultrasound technology has become pivotal for the development of precise and non-invasive diagnostic tools. The need for accurate bone segmentation in the lower extremity has prompted the creation of an Automatic Robotic Ultrasound Scanning (ARUS) system. This study navigates the intersection of robotics and ultrasound imaging, seeking to streamline the scanning process and improve the accuracy of bone segmentation. The collaborative potential of these technologies not only aims to expedite imaging procedures but also holds promise in advancing clinical assessments through detailed insights into the skeletal structures of the lower extremity.
Objectives:
This research is guided by the following objectives:
To design and implement an Automatic Robotic Ultrasound Scanning (ARUS) system tailored for bone segmentation in the lower extremity.
To develop a robust bone segmentation algorithm capable of accurately delineating skeletal structures from ultrasound images acquired through the ARUS system.
To develop a dynamic bone tracking algorithm that enables real-time monitoring and tracking of bone movements in the lower extremity during ultrasound scanning.
Expected Outcomes:
Upon successful completion of this study, we anticipate the following outcomes:
A Functional ARUS System for Lower Extremity Bone Imaging: A fully operational automatic robotic ultrasound scanning system specialized in efficient and accurate bone examinations in the lower extremity.
Advanced Bone Segmentation Algorithm: A novel bone segmentation algorithm demonstrating high accuracy and efficiency in delineating skeletal structures from ultrasound images.
Dynamic Bone Tracking Algorithm: Development of a dynamic bone tracking algorithm that enables real-time monitoring and tracking of bone movements in the lower extremity during ultrasound scanning, contributing to enhanced understanding of dynamic skeletal behaviors.
These objectives aim to not only present a technological innovation but also to contribute valuable insights to the broader field of medical imaging, particularly in the context of lower extremity bone assessment with a focus on dynamic tracking capabilities.