Sung-Hong Park

Pixelwise Fat-Water Separation by Physics-guided Learning with Simulation Data

Seonghyuk Kim, Sung-Hong Park

Motivation: Physics-guided learning has shown excellent performance in MRI field without the need for training data acquisition. The well-established mathematical model for fat-water separation allows the application of physics-guided learning. Goal(s): Propose a pixel-by-pixel approach for fat-water separation with deep neural network …

Multi-delay 2D interslice saturation MRI for non-invasive flow mapping of CSF in optic nerve subarachnoid space

Minjae Kim, Jae‐Geun Im, Steven Baete, Sung-Hong Park

Motivation: Normal-tension glaucoma (NTG) is related to reduced CSF flow in the optic nerve, but quantitative methods are limited. This study aimed to quantify CSF flow velocity in human optic nerve subarachnoid space (ONSAS). Goal(s): Develop a non-invasive MRI method, multi-delay IR-ALADDIN, …

Noise-Robust Reconstruction for Accelerated MRI using Contrastive Learning

Seonghyuk Kim, Sung-Hong Park, Hyunwook Park

Motivation: Deep learning-based accelerated MRI reconstruction methods have shown outstanding performance but do not consider noise. Corruption due to noise may lead to wrong diagnosis in clinical practices. Goal(s): Propose a noise-robust reconstruction method, which reconstructs noise-free full-sampled images from noisy undersampled …

Generative diffusion model for DSC MRI artifact correction

Muhammad Asaduddin, Eung Yeop Kim, Sung-Hong Park

Dynamic susceptibility contrast (DSC) MRI may suffer from artifacts due to long acquisition time. Past methods are limited in their performance and may change the contrast passage timing. In this work, we present a generative diffusion model that can restore signal loss …

Methods to combine multiple phase-cycled balanced steady state free precession MRI for phase imaging

Jae-Woong Kim, Seong‐Gi Kim, Sung-Hong Park

Feasibility of Quantification of Cerebral Blood Perfusion using Multi-phase Inter-slice Perfusion Imaging

Ki Hwan Kim, Seung Hong Choi, Sung-Hong Park

Accelerated In Vivo 3D Chemical Exchange Saturation Transfer (CEST) Imaging using dynamic Compressed Sensing

Ju-Young Lee, Paul Kyu Han, Seung Hong Choi, Sung-Hong Park et autres