重口味SM

Inspired by art, U of T researchers use sound and visuals to simulate blood-flow patterns of brain aneurysms

Scan of an aneuryrsm
Brain aneurysm: A 3D computed tomography (CT) angiogram coupled with a magnetic resonance imaging (MRI) scan of the brain of a 38-year-old, showing a large aneurysm (bright, lower centre) of the right internal carotid artery

Researchers in the 重口味SM鈥檚 Faculty of Applied Science & Engineering are combining audio and art to provide better, standardized ways of simulating and understanding medical imaging of brain aneurysms.

Currently, if a patient comes into a medical clinic with an unruptured brain aneurysm, a clinician鈥檚 decision to operate or leave it depends on risk factors related to the patient鈥檚 medical history, as well as the aneurysm鈥檚 shape, size and location in the brain.

Aneurysms in the back of the brain, for example, are more likely to rupture than those at the front. 鈥淭his is what the epidemiology has told us,鈥 says David Steinman, a professor of mechanical engineering. However, many large aneurysms don鈥檛 ever rupture, and many small aneurysms that are normally left alone, do rupture.

So the question is: How does one treat only the aneurysms that are risky?

Steinman鈥檚 approach to finding a solution is a unique one 鈥 he鈥檚 melding biomedical engineering and the art world. Collaborating with Toronto Western Hospital鈥檚 Aneurysm Clinic, which is Canada鈥檚 largest, as well as Peter Coppin, an assistant professor in the Faculty of Design at OCAD University, his lab is taking fresh insights from visual artists and sound designers to improve visual and audio communication in medical imaging, starting with aneurysms.

A computer simulation of blood-flow patterns within an aneurysm, created by Professor David Steinman's Biomedical Simulation Laboratory

鈥淰isualizations of computational fluid dynamics (CFD) are typically presented to clinicians as 鈥榗anned鈥 animations, which tend to rely on dense engineering representations that unselectively portray both relevant and irrelevant details,鈥 says Steinman.

Using graphics and sound to amplify key features, while suppressing irrelevant information, 鈥渨ould allow a user to visually concentrate on one field, while listening to the other. Certain aspects of complexity can be heard better than it can be seen,鈥 he says.

A clinician can then more easily and efficiently decide whether to operate on an aneurysm.

If the simulated blood flow of the aneurysm were to show a very strong and unstable 鈥榡et鈥 coming into the aneurysm and against the aneurysm wall, 鈥渢hat might be a hint that that wall is more likely to be aggravated,鈥 explains Steinman.

He hopes this innovative approach can help reduce the number of unnecessary treatments and the number of accidental ruptures. 鈥淚magine I鈥檓 a patient with what I feel is a ticking time bomb in my head. What do I do about it? And a clinician tells me, 鈥榃ell, we鈥檙e not sure,鈥欌 says Steinman. 鈥淚 want to provide more information for the clinician. It鈥檚 a new piece of the puzzle to give to them.鈥

To work alongside Coppin鈥檚 team at OCAD University, he has recruited post-doctoral researcher Thangam Natarajan to translate CFD visually, and master's student Dan MacDonald to translate CFD into sounds. Both Natarajan and MacDonald are in the department of mechanical and industrial engineering.

MacDonald is a trained classical pianist, a skill that has helped elevate his project. 鈥淧iano led me to synthesizers and sound design,鈥 he says. 鈥淪o taking the data and turning them into sound, has a lot to do with knowing fundamentally how to create sound from the bottom up.鈥

The power of this approach can be seen and heard in this video:

In the future, Steinman hopes his work will lead to a standardized, new way of representing and understanding how to treat aneurysms in medical clinics.

鈥淭he way I see it, you鈥檇 build a tool where the CFD data could be displayed on a simple interface,鈥 Steinman says. 鈥淭hen, you鈥檇 either put on headphones or turn on the speakers, just like a Doppler ultrasound exam. We鈥檙e maybe five years away from that.鈥

 

 

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