Mixed Reality Biopsy Navigation System Utilizing Markerless Needle Tracking and Imaging Data Superimposition

被引:1
作者
Trojak, Michal [1 ,2 ]
Stanuch, Maciej [2 ]
Kurzyna, Marcin [3 ]
Darocha, Szymon [3 ]
Skalski, Andrzej [1 ,2 ]
机构
[1] AGH Univ Krakow, Dept Measurement & Elect, PL-30059 Krakow, Poland
[2] MedApp SA, PL-30150 Krakow, Poland
[3] European Hlth Ctr, Ctr Postgrad Med Educ, Dept Pulm Circulat Thromboembol Dis & Cardiol, PL-05400 Otwock, Poland
关键词
biopsy; image-guided percutaneous needle biopsy; augmented reality; mixed reality; computer vision; surgical navigation; AUGMENTED REALITY; FEASIBILITY;
D O I
10.3390/cancers16101894
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Ensuring precise needle placement during biopsy procedures is essential for both successful outcomes and minimizing patient risk. Our study presents a new mixed reality system that helps doctors accurately navigate needles to their intended targets without needing physical markers. By using advanced imaging and computer vision techniques, the system overlays anatomical data directly onto the patient, guiding the needle along a pre-planned path. We tested this system in various ways, including its accuracy and efficiency in needle placement. Our findings showcased a significant improvement, with a reduction in number of punctures needed to reach the target location. The test was successfully completed on the first attempt in 70% of cases, as opposed to only 20% without the system. Additionally, there was a 53% reduction in procedure time, validating the effectiveness of the system.Abstract Exact biopsy planning and careful execution of needle injection is crucial to ensure successful procedure completion as initially intended while minimizing the risk of complications. This study introduces a solution aimed at helping the operator navigate to precisely position the needle in a previously planned trajectory utilizing a mixed reality headset. A markerless needle tracking method was developed by integrating deep learning and deterministic computer vision techniques. The system is based on superimposing imaging data onto the patient's body in order to directly perceive the anatomy and determine a path from the selected injection site to the target location. Four types of tests were conducted to assess the system's performance: measuring the accuracy of needle pose estimation, determining the distance between injection sites and designated targets, evaluating the efficiency of material collection, and comparing procedure time and number of punctures required with and without the system. These tests, involving both phantoms and physician participation in the latter two, demonstrated the accuracy and usability of the proposed solution. The results showcased a significant improvement, with a reduction in number of punctures needed to reach the target location. The test was successfully completed on the first attempt in 70% of cases, as opposed to only 20% without the system. Additionally, there was a 53% reduction in procedure time, validating the effectiveness of the system.
引用
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页数:15
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