3D spine imaging using tracked ultrasound and artificial intelligence

Obtaining accurate images of the spine is important for different medical purposes. For example, to measure how deformed the spine is in patients with scoliosis and select the most suitable treatment. Images can also be used to guide a clinician while inserting a needle to reach a exact location in the spine to administer anesthesia. Another application is to plan and guide the insertion of screws in each vertebra, which are required to correct malformations of the spine.

Currently, the most common way to obtain images of the spine is by using technologies that require the use of X-rays. However, X-rays are known to increase the risk of developing cancer. A safer and more affordable alternative is to use sound waves. Nevertheless, the images obtained with sound waves are not as clear as the ones obtained with X-rays. Consequently, we propose the use of computers and complex strategies based on artificial intelligence. With those tools, we will be able to increase the quality of images obtained with sound waves, making them comparable to X-ray images for practical purposes. A product with these characteristics would be benefitial for the society, while generating profit for the partner company.

Faculty Supervisor:

Gabor Fichtinger

Student:

Partner:

Pixel Medical Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Queen's University

Program: