Current medical image technology is not sufficient to analyse congenital heart disease. A new approach to study this disease was now tested and published by the University of Notre Dame.
The researcher used deep learning methods and graph matching on a collection of CT images to create a dataset of great vessel segmentation of the patient’s hearts. The results were then printed on a Sailner J501Pro 3d-printer which allowed the researchers to study the disease on a high-quality model outside the body.
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