Title
Assisted needle guidance using smart see-through glasses.
Abstract
Accurate needle placement largely depends on physicians' visuospatial skills in CT-guided interventions. To reduce the reliance on operator experience and enhance accuracy, we developed an augmented reality system using smart see-through glasses to facilitate and assist bedside needle angle guidance. The AR system was developed using Unity and Vuforia (TM) SDK. It displays the planned needle angle on the glasses' see-through screens in real-time based on the glasses orientation. The displayed angle is always referenced to the CT table and independent from the physical orientation of the glasses. The see-through feature allows the operator to compare the actual needle and the planned needle angle continuously. The glasses' orientation was tracked by its built-in gyroscope. The offset between the embedded gyroscope and the glasses' display frame was pre-calibrated. A quick one-touch calibration method between the glasses and CT frame was implemented. Hardware accuracy and guidance accuracy was evaluated in phantom studies. In the first test, a needle was inserted in the phantom and scanned with CT. The measured angle in the CT scan was set on the glasses. We took a snapshot from the lens and compared the needle vector and guideline in the saved snapshot. The hardware accuracy was within 0.98 +/- 0.85 degree. In the second test, after each insertion guided by the glasses, a CT scan was taken to validate the insertion angle error. The accuracy of the guidance was within 1.33 +/- 0.73 degree. Smart glasses can provide accurate guidance for needle based interventions with minimal disturbance of the standard clinical workflow.
Year
DOI
Venue
2018
10.1117/12.2293542
Proceedings of SPIE
Keywords
DocType
Volume
Augment reality,see-through smart glasses,wearable navigation device,image guidance,percutaneous needle based procedure,ablation,biopsy
Conference
10576
ISSN
Citations 
PageRank 
0277-786X
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Ming Li15595829.00
Sheng Xu250771.47
Bradford J Wood314231.69