Surgical Robotics Technology

Elevating Neuro-Navigation with Innovative Surface Matching

NaoTrac is a fast and precise surgical robot with “non-contact” and “frameless” registration. Its proprietary pre-operating planning software enables neurosurgeons to create surgical pathways with a 3D vision for precise anatomical location. The NaoTrac system comes with the SMART technology, referring to Surface Matching Auto-Registration Technology, and allows a substantially more convenient way of patient registration, aligning pre-operative planning and patient positions without sacrificing its accuracy. 

Fast and Highly Accurate in Patient Registration 

Having more than 115 clinical cases of NaoTrac, the average time of patient registration is approximately 71.14 seconds, which saves pre-surgery and procedure time, indicating a great leap forward. The average accuracy in these 115 surgeries is 0.28mm, showing that the Surface Matching enhances not only the speed, but also the accuracy. In addition, it provides detailed features of the patient’s anatomical landmarks via the robotic arm without manual collection or tool assistance. With the maximum number of checkpoints, surface matching achieves an accurate registration, enhancing surgical precision.

Utilizing surface matching for patient registration offers high accuracy, rapid speed, safety, and flexibility in patient positioning. Surface matching operates on a similar theory like optical device registration or laser surface matching. However, unlike the single point collection method of laser registration, surface matching collects up to 500,000 checkpoints simultaneously.

Neuro-navigation surgical robot

Innovative ideas stem from advancements in the surgical preparation time of the navigation system. Dr. Shinn-Zong Lin, the pioneering neurosurgeon behind NaoTrac, emphasized, “Managing high-stress levels and maintaining peak physical and mental condition are essential for achieving precise surgical outcomes and facilitating rapid patient recovery.” The navigation system aims to support neurosurgeons in conducting surgeries more seamlessly and minimizing effort. Dr. Vittorio Stumpo’s article, ‘Global Adoption of Robotic Technology into Neurosurgical Practice and Research’, published in 2020, highlighted time-saving as the second most important factor.

Auto-Surface Matching Technology on Patient Registration

Matching machine vision surgical robot

Surface Matching is the primary method we recommend for patient registration. This process begins with loading MRI or CT DICOM data to generate an MRI or CT DICOM model. Then, NaoTrac uses the Robotic Arm and machine vision to capture a 3D Facial Model of the patient. The Auto-Matching function automatically selects some specific points on the MRI or CT DICOM Model during the initial registration process via Face Detection and Facial Landmark Detection. These points may include features of facial structure, such as the corners of the eyes and the center of the eyebrows. And then automatically selects the corresponding specific points on the 3D Facial Model according to the selected point on the MRI or CT DICOM Model. Finally, the Auto-Matching function selects hundreds of thousands points on the 3D Facial Model to perform Surface Matching. If the Face Detection or Facial Landmark Detection fails, the Auto Matching function guides the surgeons to select either the Semi-Auto method or Manual Point Selection for Patient Registration.

Upcoming Advanced Functions along with Surface Matching

Brain Navi will continue to optimize robotic neurosurgical workflows with ongoing research aimed at developing new algorithms, and devices and adding new software features while exploring further integration and the usage of AI in this space. 

Brain Navi logo

Brain Navi

Brain Navi Biotechnology designs and develops “High Precision Robotic Surgical Navigation Medical Devices” to assist surgeons during surgical interventions and help improve patient recovery. Brain Navi's NaoTrac is the Neurosurgical Navigation Robot. It merges Technology and surgeons’ experience to improve accuracy, streamline surgical procedures and improve the learning curve equipped with AI, Machine Vision, and Robot-Assisted Surgery.

  • 1F., No. 66-1, Shengyi 5th Rd., Zhubei City, Hsinchu County 302, Taiwan
  • +886-3-657-9438
  • [email protected]
  • 1F., No. 66-1, Shengyi 5th Rd., Zhubei City, Hsinchu County 302, Taiwan
  • +886-3-657-9438
  • [email protected]
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