Myocardium image analysis method and device
AssigneesThe Asan Foundation, University of Ulsan Foundation for Industry Cooperation
InventorsDong Hyun Yang, June Goo Lee, Young-Hak Kim
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Abstract
A myocardium image analysis method comprising acquiring a target image including precontrast-enhanced myocardium, based on a type of coronary artery related to the myocardium, distinguishing the myocardium included in the target image, using an artificial neural network, providing information on the distinguished myocardium, wherein the artificial neural network is trained based on a training database generated by matching images for training of precontrast-enhanced coronary artery and myocardium and images for training of postcontrast-enhanced coronary artery and myocardium.
Claims13
A myocardium image analysis method comprising:
- acquiring a target image including precontrast-enhanced myocardium;
- based on a type of coronary artery related to the myocardium, dividing up the myocardium included in the target image, using an artificial neural network;
- and
- providing information on the distinguished myocardium,
- wherein the artificial neural network is trained based on a training database generated by matching images for training of precontrast-enhanced coronary artery and myocardium and pre-acquired images for training of postcontrast-enhanced coronary artery and myocardium.
A myocardium image analysis device comprising:
- a target image acquisition unit acquiring a target image including precontrast-enhanced myocardium;
- based on a type of coronary artery related to the myocardium, a myocardium distinguishing unit dividing up the myocardium included in the target image, using an artificial neural network;
- and
- providing information on the distinguished myocardium,
- wherein the artificial neural network is trained based on a training database generated by matching images for training of precontrast-enhanced coronary artery and myocardium and images for training of postcontrast-enhanced coronary artery and myocardium.
A computer readable recording medium storing a computer program, comprising:
- acquiring a target image including precontrast-enhanced myocardium;
- based on a type of coronary artery related to the myocardium, dividing up the myocardium included in the target image, using an artificial neural network;
- and
- providing information on the distinguished myocardium,
- wherein the artificial neural network includes a command for allowing a processor to perform a myocardium image analysis method in which training is performed based on a training database generated by matching images for training of precontrast-enhanced coronary artery and myocardium and images for training of postcontrast-enhanced coronary artery and myocardium.
Dependencies are inferred from the claim text.