Dongguk University Industry-academic Cooperation Foundation

Korea Institute of Science and Technology

Snu Rdb Foundation

Jlk Inspection

Dong Eog Kim

Won Tae Kim

Dong-min Kim

Kwang Meyung Kim

Shin Uk Kang

Myung Jae Lee

Cheol Hee Ahn

Jeong Yeon Kim

In Cheol Sun

Sung Kyung Park

A stroke diagnosis and prognosis prediction system includes: an image acquisition unit configured so as to receive a plurality of images including at least a part of a human brain; an image alignment unit for aligning the plurality of images on the basis of a standard brain image; a lesion area detection and mapping unit for respectively detecting lesion areas from the plurality of images, and mapping the detected lesion areas so as to generate one mapping image; a matching and correction unit, which scales a mapping image so as to match the same to the standard brain image and performs image correction on the mapping image; a three-dimensional image generation unit storing the mapping image in a three-dimensional data space, thereby generating a three-dimensional lesion image; and a stroke diagnosis unit for diagnosing a stroke on the basis of the three-dimensional lesion image.

Stroke diagnosis and prognosis prediction method and system

The present invention relates to a CT contrast agent for detecting a thrombus, comprising fibrin-targeted peptide sequence-conjugated glycol chitosan-gold nanoparticles. The CT contrast agent for detecting a thrombus according to an embodiment of the present invention may allow rapid and repeated acquisition of CT image information related to the size and location of a thrombus in cardio-cerebral vascular thrombosis, and also enables the imaging monitoring of cerebral thrombus.

CT contrast medium for detecting thrombus, comprising fibrin-targeted peptide sequence-conjugated glycol chitosan-gold nanoparticles

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Seoul, South Korea

Dong Eog Kim