Last updated: 2023.5.11
Design and develop image-free tracking to guide endovascular neurosurgical procedures.
Project Mentor(s):
Brain aneurysms are bulges in blood vessels in the brain primarily due to thinning artery walls. They often occur where blood vessels branch, as vessel walls are usually thinner at these locations. Brain aneurysms can either leak or rupture, which will then quickly develop into life-threatening conditions. Leaking or ruptured brain aneurysms may cause severe headaches, stroke, permanent neurological deficits, or death. In the US, around 6.7 million people live with brain aneurysms. Out of the 6.7 million, around 30,000 patients experience ruptured aneurysms annually, with a fatality rate of up to 50%.
With such a high fatality rate, treatments are mainly concerned with stopping further blood flow into the aneurysm to prevent or stop an ongoing rupture. Two different procedures are available for embolizing aneurysms. Microsurgical clipping, as shown below, is where a small opening is made on the skull near the site of the aneurysm, and a clip is inserted to pinch off further blood flow into the aneurysm. This method is highly invasive, taking patients long periods of time to heal after the operation.
More recently, the endovascular neurosurgical method has been developed, where a catheter is inserted from the femoral artery near the thigh of the patient and navigated to the site of the aneurysm in the brain. Once the catheter reaches the aneurysm, there are two different methods to embolize the aneurysm. One such method is coiling, where a coil of wire is inserted into the aneurysm through the catheter, causing blood clots. The other method is flow diversion, where a mesh tube, acting like a stent, diverts the blood flow away from the aneurysm and along the vessel. With no new blood flow into the aneurysm, existing blood inside the aneurysm will clot. Blood clotting will block further blood flow into the aneurysm, preventing or stopping an ongoing rupture. Compared to microsurgical clipping, the endovascular neurosurgical method is minimally invasive.
Although the endovascular procedure is minimally invasive, it is hard for surgeons to navigate the catheter to the site of the aneurysm smoothly. Pre-operative CT angiography and fluoroscopy is required to help visualize blood vessels and tissues and locate the catheter in order to navigate the catheter to the site of the aneurysm.
As mentioned before, for endovascular techniques, fluoroscopy and CT angiograms are used to help surgeons visualize the position of their catheter in order to navigate the catheter to the site of the aneurysm. However, this process exposes both the patient and surgeon to hundreds of mGy of X-ray radiation. At this level of radiation exposure, there are increased health risks of diseases such as cancer, cataract, non-malignant skin damage, and impaired fertility. Especially, surgeons are at increased risk since they perform this procedure on a regular basis. Thus, there is currently a need for methods of detecting catheter position inside the patient without relying on X-ray imaging techniques, which will greatly reduce the amount of radiation that patients and surgeons are exposed to.
To address this issue, we aim to develop a system where the catheter can be tracked using EM. This way, we can eliminate the need of fluoroscopy during endovascular procedures. Specifically, we hope to achieve:

Aurora Field Generator generates an electromagnetic field that causes current to run through the sensor attached to the catheter. By measuring the voltage on the sensor, the catheter's position and orientation can be determined.

Directly stick the EM 5-DOF sensor inside the catheter. (left: 5-DOF sensor; right: catheter prototype)

Put the EM 5-DOF sensor outside the catheter and use heat shrink tubing to secure the whole system.
* Fiducial points registration:
* Path-based registration:
The 5 DoF sensor, which is aligned with the tip, has sufficient information to display the tip orientation with a high degree of accuracy. However, the challenge is to estimate the pose of the body, which we do not have direct sensor data of. Therefore, we relied on an assumption for body pose estimation: the catheter is sufficiently rigid for a short span of length. As a result, the catheter pose will resemble the trajectory composed of recent sensor readings. Therefore, we fitted a linear vector to the sensor readings closest to the current sensor position, (1 cm within current location) using PCA based computations. Then, this orientation is attached to the current sensor tip transform, with a small translation offset that is predefined by the user to best reflect the actual geometry of the catheter tip shape.
Note: Documentations are in Other Resources and Project Files section.
* here list references and reading material