activity
20242026
most citedA Tutorial on MRI Reconstruction: From Modern Methods to Clinical Implications

9 citations · 9 across the 9 of their papers we have counts for

collaborators

10 papers

physics.med-ph2026

Vendor-Agnostic Joint Relaxometry and Myelin Water Fraction Mapping with B1 and Motion Correction

Unay Dorken Gallastegi, Shohei Fujita, Yohan Jun +19

Obtaining consistent quantitative maps of myelin content and relaxation times across different sites and vendors is essential for advancing our understanding of brain development.…

physics.med-ph2026

MWF-MIMOSA for efficient simultaneous relaxometry and myelin water fraction mapping

Yuting Chen, Yohan Jun, Hyeong-Geol Shin +15

Quantitative magnetic resonance imaging (qMRI) provides improved sensitivity and specificity to tissue composition and pathological alterations compared with conventional contrast-…

eess.IV2026

FINDER: Zero-Shot Field-Integrated Network for Distortion-free EPI Reconstruction in Diffusion MRI

Namgyu Han, Seong Dae Yun, Chaeeun Lim +7

Echo-planar imaging (EPI) remains the cornerstone of diffusion MRI, but it is prone to severe geometric distortions due to its rapid sampling scheme that renders the sequence highl…

q-bio.QM2025

Omni-QALAS: Optimized Multiparametric Imaging for Simultaneous T1, T2 and Myelin Water Mapping

Shizhuo Li, Unay Dorken Gallastegi, Shohei Fujita +8

Purpose: To improve the accuracy of multiparametric estimation, including myelin water fraction (MWF) quantification, and reduce scan time in 3D-QALAS by optimizing sequence parame…

physics.med-ph2025

Reduced NEXI protocol for the quantification of human gray matter microstructure on the Connectome 2.0 scanner

Quentin Uhl, Tommaso Pavan, Julianna Gerold +10

Biophysical diffusion MRI models like Neurite Exchange Imaging (NEXI) are essential for probing gray matter microstructure, estimating compartment diffusivities, neurite fraction,…

physics.med-ph2025

MIMOSA: Multi-parametric Imaging using Multiple-echoes with Optimized Simultaneous Acquisition for highly-efficient quantitative MRI

Yuting Chen, Yohan Jun, Amir Heydari +8

Purpose: To develop a new sequence, MIMOSA, for highly-efficient T1, T2, T2*, proton density (PD), and source separation quantitative susceptibility mapping (QSM). Methods: MIMOSA…

physics.med-ph2025

Multishot Dual Polarity GRAPPA: Robust Nyquist Ghost Correction for multishot EPI

Yuancheng Jiang, Yohan Jun, Qiang Liu +4

Purpose: This work aims to develop a robust Nyquist ghost correction method for multishot echo-planar imaging (EPI). The method helps correct challenging Nyquist ghosts, particular…

eess.IV2025★ 9 cited

A Tutorial on MRI Reconstruction: From Modern Methods to Clinical Implications

Tolga Çukur, Salman U. H. Dar, Valiyeh Ansarian Nezhad +4

MRI is an indispensable clinical tool, offering a rich variety of tissue contrasts to support broad diagnostic and research applications. Clinical exams routinely acquire multiple…

physics.med-ph2024

PRIME: Phase Reversed Interleaved Multi-Echo acquisition enables highly accelerated distortion-free diffusion MRI

Yohan Jun, Qiang Liu, Ting Gong +13

Purpose: To develop and evaluate a new pulse sequence for highly accelerated distortion-free diffusion MRI (dMRI) by inserting additional echoes without prolonging TR, when general…

eess.IV2024

NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction

Xinrui Jiang, Yohan Jun, Jaejin Cho +3

Typical quantitative MRI (qMRI) methods estimate parameter maps in a two-step pipeline that first reconstructs images from undersampled k-space data and then performs model fitting…