MIGHTY: a comprehensive platform for the development of medical image-guided holographic therapy
Egileak: Gaspar Sánchez María Ángeles García
Data: 01.07.2023
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Abstract
With the use of different technological equipment, it becomes a complex challenge to have a fully integrated operating room, with adequate communication between devices. In this paper, we present the Medical Image Guided and Holographic TherapY (MIGHTY) platform, a software development kit for surgical applications that integrates computer-assisted planning, augmented reality, real-time imaging and collaborative robotics in the same environment. To show MIGHTY’s capabilities, a representative use case – abdominal biopsy – is addressed. We tested quantitatively the throughput of the involved applications, and the precision of the scene-tracking methods. Throughput results scored satisfactorily high in regards to the system’s real-time performance, and the tracking methods, although improvable, were good for the purpose of this work, which aims on the integration and cooperation of all the involved technologies, rather than on the individual accuracy of each one of them.
BIB_text
title = {MIGHTY: a comprehensive platform for the development of medical image-guided holographic therapy},
journal = {Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization},
pages = {1081-1089},
volume = {11},
keywds = {
Augmented reality, real-time imaging, collaborative robotics
}
abstract = {
With the use of different technological equipment, it becomes a complex challenge to have a fully integrated operating room, with adequate communication between devices. In this paper, we present the Medical Image Guided and Holographic TherapY (MIGHTY) platform, a software development kit for surgical applications that integrates computer-assisted planning, augmented reality, real-time imaging and collaborative robotics in the same environment. To show MIGHTY’s capabilities, a representative use case – abdominal biopsy – is addressed. We tested quantitatively the throughput of the involved applications, and the precision of the scene-tracking methods. Throughput results scored satisfactorily high in regards to the system’s real-time performance, and the tracking methods, although improvable, were good for the purpose of this work, which aims on the integration and cooperation of all the involved technologies, rather than on the individual accuracy of each one of them.
}
doi = {10.1080/21681163.2022.2152373},
date = {2023-07-01},
}
