From Imaging Physics To Quantitative Insight.
We connect MRI physics, quantitative measurements, and artificial intelligence to develop medical imaging methods and support clinical research.
We connect MRI physics, quantitative measurements, and artificial intelligence to develop medical imaging methods and support clinical research.
Developing pulse sequences, image reconstruction, and error correction for fast, reliable imaging. Our work includes high-resolution volumetric imaging and motion detection and correction.
Learning Areas: MRI Physics · Signal Processing · Image Reconstruction
Measuring blood flow, oxygen metabolism, and tissue properties with quantitative MRI. We combine biophysical models with parameter estimation and experimental validation.
Learning Areas: Brain Physiology · Biophysical Modeling · Quantitative Validation
Developing learning-based methods for medical image segmentation and automated analysis, alongside collaborative clinical prediction research.
Learning Areas: Python · Deep Learning · Medical Image Analysis
LIMITLESS @ KNU
School of Electronics Engineering
603, IT Building 1
80 Daehak-ro, Buk-gu, Daegu, Republic of Korea
지능형의료영상기술연구실
경북대학교 전자공학부
대구광역시 북구 대학로 80
IT 1호관 603호