Portable ultrasound based nerve imaging system
An ultrasound probe for percutaneous insertion into an incision and related methods are disclosed herein, e.g., for imaging neural structures at a surgical site of a patient. An exemplary ultrasound probe can be a portable ultrasound probe configured to be passed percutaneously into an incision and can have an imaging region extending distally from a distal tip of the probe. In one embodiment the ultrasound probe can be a navigated portable ultrasound probe. The ultrasound probe can be connected to a computing station and configured to transmit images to the computing station for processing. In another embodiment, an ultrasound probe can be part of a network of sensors, including at least one external sensor, where the network of sensors is configured to transmit images to the computing station for processing. The computing station can process and display images to visualize and/or highlight neurological structures in an imaged region.
1. A method of identifying neural structures of a patient, the method comprising:
registering a portable ultrasonic probe with a surgical navigation system, the probe having a primary imaging area and at least one secondary imaging area, the primary imaging area being focused forward and the at least one secondary imaging area extending laterally from the probe;
inserting the probe percutaneously through an incision in the patient at a spinal surgical site;
identifying a location of the probe with the surgical navigation system;
registering the probe to a transverse process at the spinal surgical site;
generating ultrasonic data using the probe; and
analyzing the data to identify neural structures at the spinal surgical site;
wherein analyzing the data to identify neural structures includes predicting a location of at least one neural structure based on its anatomical location relative to the transverse process to which the probe is registered.
2. The method of claim 1 , wherein generating ultrasonic data further comprises collecting ultrasonic data from the probe.
3. The method of claim 1 , wherein generating the ultrasonic data further comprises a real-time collection of ultrasonic data while the probe is percutaneously inserted through the incision.
4. The method of claim 1 , wherein generating the ultrasonic data further comprises collecting data from at least one ultrasonic sensor located external to the patient and directed toward an area containing the probe.
5. The method of claim 1 , wherein analyzing the data to identify neural structures at the surgical site further comprises processing the data using a deep learning algorithm to automatically identify at least one neural structure.
6. The method of claim 1 , further comprising transmitting data from the probe to a computing station and communicating information about at least one identified neural structure near a tip of the probe to a user.
7. The method of claim 6 , further comprising creating a two-dimensional or a three-dimensional map of the at least one identified neural structure.
8. The method of claim 1 , wherein the probe has a focused forward range of 1 inch or less.
9. The method of claim 1 , wherein the probe has a diameter of 10 mm or less.
10. The method of claim 1 , wherein inserting the probe through the incision further comprises passing the probe through an access port at the incision.
11. The method of claim 1 , further comprising registering images produced by the probe to a segmented anatomical structure of a patient image volume.
12. The method of claim 1 , wherein inserting the probe through the incision further comprises manually inserting the probe through the incision.
13. The method of claim 1 , wherein inserting the probe through the incision further comprises robotically assisted navigation of the probe through the incision.
14. The method of claim 1 , wherein the probe includes at least one optical or electrical nerve detection technology.