Template-Driven Medical Imaging Information Providing Process Using Semantic Relations Targeting Acute Myocardial Infarction

As the development of science and technology improves the quality of human life, the need for extension of life of people has increased in recent years. As a result of this tendency, there is a growing interest in the effective health care system which can provide a better medical service. Especially, in case of emergency diseases in which the initial response in the ER (Emergency Room) is directly related to life and death, the quality of medical systems has a greater influence on the care for patients. For diagnosing these emergency diseases, the medical images are treated as a general indicator for checking the lesion information. In medical fields, PACS (Picture Archiving and Communication System) is generally used to acquire, transmit, or manage the medical images. However, since the current systems manage them based on their superficial metadata, it is difficult to analyze the semantic information inherent in medical images. Therefore, in this paper we suggest a medical image information providing method which can effectively provide the semantic information of medical images related to AMI (Acute Myocardial Infarction). We select an essential image modality used for diagnosis and treatment of AMI, extract its semantic features, and analyze their semantic relations. The proposed method can show significant information included in medical images on a template, so that the intuitive and efficient provision of medical information will be possible for urgent diseases.