Many serious diseases would be detected earlier if the health care had the technical means for examining X-ray images, can be read in an article at Chalmers University of Technology.
Chalmers University of Technology and Sahlgrenska University Hospital now work together to develop a method based on artificial intelligence to assess computed tomographic images (3D X-ray) of the heart’s coronary arteries. The tool is developed not least thanks to image data from a large Swedish population study. Health care has so far only just had a first taste of all the opportunities offered by artificial intelligence, AI. Sahlgrenska and Chalmers AI Research Center (Chair) recently launched a strategic research collaboration on AI in health care.
The technology is making progress
Cardiovascular disease is still the most common cause of death in Sweden and the world. But conditions have never been better to identify individual risks for, for example, stroke, COPD, sudden cardiac arrest, myocardial infarction and other heart diseases. This is due to several advances.
In addition to AI technology itself becoming more and more advanced, new technology in the health care system makes it possible to take pictures of the heart, lungs and blood vessels in a way not previously possible. It is also possible to image and measure the distribution of fat in the body. In addition, there is now a sufficiently large image bank to use thanks to the population study Scapis. The study comprises 30,000 Swedes and is a collaboration between six universities and six university hospitals. Images and information collected by Scapis are now used in several medical research projects where computers will learn to interpret computed tomographic images of human organs.
“We are currently working with Sahlgrenska to develop an algorithm that can be used for segmentation and classification of three-dimensional computed tomographic images of the coronary arteries”, says Fredrik Kahl.
Jennifer Alvén is also involved in the project. She is a doctoral student in medical image analysis and in the process of developing an algorithm that allows the computer system to read the coronary arteries all by itself.
“It is great that the research is really taking off now”, says Jennifer Alvén. “I am training the computer system through deep learning so that it can recognize the coronary arteries of the heart and the areas where the vessels hold calcium and fat, which could lead to future heart problems.”
Learns to recognise signs of future disease
The pictures show two examples of cross sections of coronary arteries that the AI system is learning to assess. The outer dotted line shows the outer contour of the artery wall, and the solid inner line shows the contour of the artery itself, where the blood is flowing. In the left image the artery wall is thin and without plaque. In the right picture, however, coating is visible on the inside of the artery wall
One step closer to practical use
Great potential to improve public health
- Scapis is a Swedish population study that examines the cardiovascular status of 30,000 randomly selected women and men aged 50–64 years. The recruitment phase has been completed and analysis of collected data is now underway.
- The purpose is to be able to identify individual risks such as stroke, COPD, sudden cardiac arrest, myocardial infarction and other heart diseases.
- The goal is to gain greater knowledge about the origin of the diseases in order to prevent them before they occur.
- Six universities and six university hospitals in collaboration lead and run Scapis.
- Scapis is funded by the Swedish Heart-Lung Foundation as the main financier and with significant contributions from the Knut and Alice Wallenberg Foundation, Vinnova, the Swedish Research Council and the university hospitals and the universities themselves.
Text: Yvonne Jonsson, Chalmers University of Technology
Photo: Henrik Sandsjö