Grants and Contributions:

Title:
Patient specific biomechanical modeling of abdominal aortic aneurysm to improve aortic endovascular repair
Agreement Number:
CRDPJ
Agreement Value:
$345,395.00
Agreement Date:
Mar 7, 2018 -
Organization:
Natural Sciences and Engineering Research Council of Canada
Location:
Quebec, CA
Reference Number:
GC-2017-Q4-01694
Agreement Type:
Grant
Report Type:
Grants and Contributions
Additional Information:

Grant or Award spanning more than one fiscal year (2017-2018 to 2020-2021).

Recipient's Legal Name:
Soulez, Gilles (Université de Montréal)
Program:
Collaborative Research and Development Grants - Project
Program Purpose:

Endovascular surgery requires of special surgical tools inserted and navigated through the vascular system to reach the site of a disease remotely. This navigation and treatment are perform under video X-Ray imager called fluoroscopy. This low-power X-Ray reveals only the bones, even though the surgery is performed on the vessels. Chemical agent dye can paint momentarily the vessel, but this agent is toxic when used in high dosage. In order to help the surgeon navigate its way, we are developing with Siemens Healthineers an enhance visualization software that displays on the fluoroscopic image the vascular structures of the patient and adapts its shape by the deformation force of the endovascular tools. This can reduce the use of contrast agent, reduce the intervention time (thus reducing radiation exposure) and generally improve the surgical outcomes.
To deform the vascular structure without its visualization, we will use a mathematical function to compute the vessel shape when subjected to endovascular tools influence. This function will be based on biomechanical computer simulations performed on a large database of interventional images. Tissues of the entire abdominal region will be simplified and modeled to achieve the most realistic behaviour. Biomechanical simulations have been used in numerous medical applications as a validation tool. We want to innovate and bring this complex simulation result to a live and reactive application. This technological innovation will improve substantially the performances and reliability of image fusion assisting software and set a new standard in medical care practices.