Korea Institute of Radiological & Medical Sciences

Wook Kim

Sang Moo Lim

Kyo Chul Lee

Sang Keun Woo

The present invention relates to a radiopharmaceutical distribution image generation system and method using deep learning and, more specifically, to a radiopharmaceutical distribution image generation system and method using deep learning, wherein dynamic medical images collected from multiple patients and a time-radiation dose distribution curve for each organ can be learnt through a deep learning network and a spatial distribution image of a radiopharmaceutical can be generated from a static medical image acquired from a specific patient. According to the present invention, even when a medical image is acquired only for a specific time after a radiopharmaceutical is injected into a patient, a spatial distribution image of the radiopharmaceutical can be acquired across the entire time by using the deep learning network, and quantitative analysis of the radiopharmaceutical can be performed by calculating a time-radiation dose distribution curve on the basis thereof.

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Seongnam-si, South Korea

Wook Kim