Create a software solution to display ultrasound images as a volume as well as an echogenic needle capable of being viewed with ultrasound. Together, the volumized ultrasound data and echogenic needle will be viewed with augmented reality for clinical ultrasound use. Understanding real time patient specific anatomy is critical for many clinical procedures including nerve blocks. When placing a nerve block, a clinician must find the nerve/s of interest and place a needle with anesthetic as close to the nerve as possible without hitting it. This is a difficult process. The clinician must interpret where the ultrasound plane is and where the needle is. Volumization of ultrasound data provides a more complete and intuitive visualization of relevant anatomy. An echogenic needle would allow better real time visualization for the clinician to guide the needle in the body. The combination of ultrasound volumization, echogenic needle, and augmented reality will create a more efficient method of placing anesthetic for nerve blocks. The end-product of this project would be software code rendering the output video from a conventional clinical ultrasound machine as a volume to be displayed with a Microsoft Hololens2 or similar augmented reality device, in the correct orientation and/or position to the real-world patient. Additionally, an echogenic needle to be reliably viewed with ultrasound.
Key problems to be solved:
Deliver the ultrasound images to a Unity app or intermediate script
Determine how to accurately volumize ultrasound planes
Create an echogenic needle.
Using Unity, render the volumized data to a head mounted display.
Using Unity, render the echogenic needle within the volumized data
Options for further work could include real-time accurate scaling to the patient, which may enable the device to be more usable for difficult, ultrasound-guided, invasive procedures like local anesthetic injections, or placing central venous and arterial lines.
Department:
School of Biomedical Engineering
Advisors:
Tod Clapp, Stu Tobet, Steven Hsu, Chad Eitel, Brendan Garbe