Method for predicting state of object on basis of dynamic image data and computing device performing same
AssigneesThe Asan Foundation, University of Ulsan Foundation for Industry Cooperation
InventorsJungsu Oh, Jae Seung Kim, Minyoung Oh, Dong Yun Lee, Seung Jun Oh, Sang Ju Lee
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Abstract
The present invention relates to a method for predicting a state of an object on the basis of dynamic image data and a computing device performing same, the method enabling initial dynamic image data and delay image data to be predicted by performing learning on the basis of dynamic image data captured at a time point when both blood flow image information and disease-specific biological information are included, and furthermore, enabling blood flow image information and disease-specific biological information of the object to be provided.
Claims15
A method for predicting a state of an object based on dynamic image data, the method being performed by an apparatus and comprising:
- obtaining a plurality of pieces of image data for training;
- extracting a plurality of pieces of dynamic image data for training from the plurality of pieces of image data for training, the plurality of pieces of dynamic image data for training including a playback interval image from a first time when a blood flow influence starts to decrease to a predetermined reference time point, after a time point when a drug is injected into a learning object included in each of the plurality of pieces of image data for training;
- obtaining blood flow image information and disease-specific information corresponding to the plurality of pieces of dynamic image data for training;
- performing learning using a first image prediction model for diagnosis to generate first training data, based on the blood flow image information and the disease-specific information corresponding to the plurality of pieces of dynamic image data for training;
- and
- predicting the blood flow image information and the disease-specific information corresponding to a diagnosis object using dynamic image data for diagnosis and the first training data, when the dynamic image data for diagnosis corresponding to the diagnosis object is obtained.
A computing device, comprising:
- a display;
- a memory storing an image prediction model for diagnosis;
- and
- at least one processor configured to communicate with the display and the memory,
- wherein the at least one processor is configured to:
- obtain a plurality of pieces of image data for training;
- extract a plurality of pieces of dynamic image data for training from the plurality of pieces of image data for training, the plurality of pieces of dynamic image data for training including a playback interval image from a first time when a blood flow influence starts to decrease to a predetermined reference time point, after a time point when a drug is injected into a learning object included in each of the plurality of pieces of image data for training;
- obtain blood flow image information and disease-specific information corresponding to the plurality of pieces of dynamic image data for training;
- perform learning using a first image prediction model for diagnosis to generate first training data, based on the blood flow image information and the disease-specific information corresponding to the plurality of pieces of dynamic image data for training;
- and
- predict the blood flow image information and the disease-specific information corresponding to a diagnosis object using dynamic image data for diagnosis and the first training data, when the dynamic image data for diagnosis corresponding to the diagnosis object is obtained.
Dependencies are inferred from the claim text.