Augmented Reality-Assisted Ultrasound Breast Biopsy

Author:

Costa Nuno123ORCID,Ferreira Luís1ORCID,de Araújo Augusto R. V. F.14ORCID,Oliveira Bruno12356ORCID,Torres Helena R.12356ORCID,Morais Pedro1ORCID,Alves Victor23ORCID,Vilaça João L.1ORCID

Affiliation:

1. 2Ai—School of Technology, IPCA, 4750-810 Barcelos, Portugal

2. Algoritmi Center, School of Engineering, University of Minho, 4800-058 Guimaraes, Portugal

3. LASI—Associate Laboratory of Intelligent Systems, 4800-058 Guimaraes, Portugal

4. Institute of Computing, Universidade Federal Fluminense (UFF), Niteroi 24210-310, Brazil

5. Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal

6. ICVS/3B’s—PT Government Associate Laboratory, 4710-057 Braga/Guimaraes, Portugal

Abstract

Breast cancer is the most prevalent cancer in the world and the fifth-leading cause of cancer-related death. Treatment is effective in the early stages. Thus, a need to screen considerable portions of the population is crucial. When the screening procedure uncovers a suspect lesion, a biopsy is performed to assess its potential for malignancy. This procedure is usually performed using real-time Ultrasound (US) imaging. This work proposes a visualization system for US breast biopsy. It consists of an application running on AR glasses that interact with a computer application. The AR glasses track the position of QR codes mounted on an US probe and a biopsy needle. US images are shown in the user’s field of view with enhanced lesion visualization and needle trajectory. To validate the system, latency of the transmission of US images was evaluated. Usability assessment compared our proposed prototype with a traditional approach with different users. It showed that needle alignment was more precise, with 92.67 ± 2.32° in our prototype versus 89.99 ± 37.49° in a traditional system. The users also reached the lesion more accurately. Overall, the proposed solution presents promising results, and the use of AR glasses as a tracking and visualization device exhibited good performance.

Funder

Northern Portugal Regional Operational Programme

FCT (Fundação para a Ciência e a Tecnologia) and FCT/MCTES

“Programa Operacional Capital Humano”

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3