An Integrated CT-based Image-Guided Neurosurgical System In this SBIR Phase IIb proposal Xoran intends to commercialize a compact and affordable, yet highly- functional, system to provide real time image updates and navigation guidance in support of minimally invasive cranial and spinal neurosurgical procedures. The effort builds on previously developed compact and portable flat-panel Computed Tomography (CT) technology which has been commercialized for hard tissue applications, and incorporates work done in earlier phases of this project to generate viable high- quality images of the soft tissue structures in the brain. Intraoperatively obtained images tightly integrated into an onboard surgical navigation will provide updated instrument localization using next generation electromagnetic tool tip guidance. Workflow optimizations become possible when the imaging and guidance are one device, including fast local image updates, automatic image-to-world registration, as well as speed and simplicity of use. The project includes expansion of the system capabilities to facilitate precise minimally-invasive surgical removal of tumors in both the head and spine. It incorporates a machine-learning based deep neural network method for image finalization to allow high quality, low radiation image updates. The three-year project involves meeting technical milestones of system development including imaging capability, registration, navigation accuracy, speed, workflow, radiation dose considerations and cost. Clinical evaluations will take place at University of Michigan, and a team of consulting physicians has been assembled for oversight, input and feedback.

Public Health Relevance

/ Relevance to Public Health Minimally invasive surgical procedures have many benefits to public health including reducing the medical risks and costs associated with brain cancer and spine surgery. However such procedures are often time consuming and technically difficult as the surgeon is unable to directly visualize the area of the operation. In this project, an intraoperative surgical system is developed with onboard imaging capability in order to enable minimally invasive surgeries to be performed more safely and completely, by providing hi-resolution imaging of the brain and spine while the surgeon operates.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
5R44CA112966-07
Application #
10017876
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Canaria, Christie A
Project Start
2005-05-01
Project End
2022-08-31
Budget Start
2020-09-01
Budget End
2021-08-31
Support Year
7
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Xoran Technologies, LLC
Department
Type
DUNS #
079255809
City
Ann Arbor
State
MI
Country
United States
Zip Code
48108
Li, S; Clinthorne, N (2013) An approach to automatic evaluate registration performance for image guided navigation. Int J Comput Assist Radiol Surg 8:S145-S154