X-rAID: Computer Aided Diagnosis of X-Ray Images
Radiologists use x-ray images of the human thoracic cavity to diagnose many diseases. One
of the most common diagnoses, an enlarged heart, is detected by measure the cardiothoracic
ratio – the ratio of the heart diameter to that of the thoracic cavity. Radiologists measure the
cardiothoracic ratio (CTR) manually. This process is time-consuming and error-prone. In this
project, we aim to build a computerized system to measure the cardiothoracic ratio
automatically from chest x-rays. To this end, efficient algorithms will be designed to segment
the x-ray image into its constituent organs and to detect important points necessary for
measurements. When complete, such a computer aided diagnosis (CAD) system will help
prevents errors, save time and reduce costs. If successful, the project may be extended to
allow diagnosis of other cardiothoracic diseases.
Eugene Fiume
Medical Teknologix
Computer science
University of Toronto
Accelerate
