In a joint project with the STW Technology Foundation, medical information technologists from Leiden have developed a virtual robot which meticulously scans the heart muscle using images of the heart. The contours detector reduces the work of specialists and does not affect the patients. The research group will present the results in the middle of May at a congress in Honolulu.
To map the condition of a patient’s heart, physicians have until now used a series of MRI images (magnetic resonance imaging). The images provide 10 cross-sections of the heart on 20 phases during a single heartbeat. Then on at least 40 of the 200 images the physician marks the contours of the heart muscle by hand. This very accurately but subjectively reveals where the heart muscle is less thick during the heartbeat. These parts of the heart wall have already died or receive less oxygen upon exertion. If the physician requires more information, he marks all 200 images.
In the newly-developed contours detector, a virtual robot delineates the heart boundaries on the MRI images. The contours indicate where the heart wall lies and therefore the thickness of the heart muscle at any given point. The robot is objective and self-learning. When the image has too little contrast for a boundary line to be drawn with certainty, the robot ’remembers’ an example from a previous `training`. Together with the rules dictated by the programmers, the intelligent system then constructs a ‘surgically precise’ contour. This makes the time-consuming drawing of the contours by hand obsolete. Patients are not even aware of the robot, as the entire process takes place in the computer using stored MRI images.
Michel Philippens | alphagalileo
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