Arterial spin labeling (ASL) imaging is a powerful magnetic resonance imaging technique that allows to quantitatively measure blood perfusion non‐invasively, which has great …
Z Zhou, F Han, S Yu, D Yu, S Rapacchi… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose To evaluate the feasibility and performance of compressed sensing (CS) with magnitude subtraction regularization in accelerating non–contrast‐enhanced dynamic …
HS Ahn, HC Yu, HS Kwak, SH Park - European Journal of Radiology, 2020 - Elsevier
Purpose To investigate technical issues for implementing pseudo-continuous arterial spin labeling (pCASL) for renal perfusion measurements in transplanted kidney patients (TK) in …
M Taso, L Zhao, A Guidon, DV Litwiller… - Magnetic Resonance …, 2019 - Wiley Online Library
Purpose To improve image quality and spatial coverage for abdominal perfusion imaging by implementing an arterial spin labeling (ASL) sequence that combines variable‐density 3D …
J Cui, K Gong, P Han, H Liu, Q Li - Medical Physics, 2022 - Wiley Online Library
Purpose Arterial spin labeling (ASL) magnetic resonance imaging (MRI) is an advanced noninvasive imaging technology that can measure cerebral blood flow (CBF) quantitatively …
Arterial cerebral blood volume (aCBV) is associated with many physiologic and pathologic conditions. Recently, multiphase balanced steady state free precession (bSSFP) readout …
PK Han, SH Choi, SH Park - Magnetic resonance in medicine, 2017 - Wiley Online Library
Purpose To investigate the performance of control scans in pseudo‐continuous ASL (pCASL) and propose strategies for improving sensitivity and reliability of pCASL. Methods …
O Reynaud, AR da Silva, R Gruetter… - Journal of Magnetic …, 2019 - Elsevier
Balanced steady-state free precession (bSSFP) can be used as an alternative to gradient- echo (GE) EPI for BOLD functional MRI when image distortions and signal drop-outs are …
FY Zhu, YF Sun, XP Yin, TD Wang, Y Zhang, LH Xing… - Clinical Oncology, 2023 - Elsevier
Aims To build machine learning-based radiomics models to discriminate between high- (HGGs) and low-grade gliomas (LGGs) and to compare the effectiveness of three …