Charles Hing-Chiu Chang

Charles Hing-Chiu Chang received his PhD degree in Biomedical Electronics from the National Taiwan University in 2012, and completed his postdoc training at Duke University Medical Center. Before joining the academia, he worked in a medical imaging industry and developed prototype magnetic resonance imaging (MRI) software for research purpose. He has pioneered several 2D and 3D multi-shot EPI techniques to enable high-resolution and time-efficient brain diffusion-tensor imaging (DTI), such as 2D DTI based on multi- band interleaved EPI with multiplexed sensitivity encoding (MB-MUSE), 3D DTI based on interleaved EPI acquisition and multiplexed sensitivity encoding and reconstruction (3D-MUSER), self-calibrated and collaborative Propeller-EPI Reconstruction (SCOPER). Furthermore, he is practically interested in clinical application and routine examination of MRI, and has been actively working with radiologists on exploring new applications in diagnosis using advanced MRI techniques. In July 2021, he joined the Department of Biomedical Engineering in the Chinese University of Hong Kong as Assistant Professor.

Area of Expertise:

• Diagnostic Medical Imaging, Fast Magnetic Resonance Imaging, Diffusion-Weighted Imaging

Education

• Doctor of Philosophy (Ph.D.) National Taiwan University (2009 — 2012)
• Master's degree National Taiwan University (2004 — 2006)
• Bachelor's degree National Taiwan University (2000 — 2004)

RESEARCH INTEREST

• Development of three-dimensional (3D) diffusion-weighted imaging (DWI) techniques for high-resolution neural fiber mapping
• Development of advanced abdominal DWI techniques for the application of free-breathing liver DWI
• Clinical applications of MRI fat-water imaging techniques
• Image reconstruction and artifact reduction for fast MRI techniques (e.g., echo-planar imaging)
• MRI-guided applications with the use of real-time data feedback

SELECTED PUBLICATIONS

Chang HC, Chen G, Chung HW, Wu PY, Liang L, Juan CJ, Liu YJ, Tse MD, Chan A, Zhang S, and Chiu KW*, “Multi-shot Diffusion-Weighted MRI with Multiplexed Sensitivity Encoding (MUSE) in the Assessment of Active Inflammation in Crohn’s Disease”, Journal of Magnetic Resonance Imaging, 2021 (Eprint ahead of publish). [SCI IF = 3.732; Q1 in Radiology, Nuclear Medicine & Medical Imaging Category]

Liu YJ, Lee YH, Chang HC, Chung HW, Wang CW, Juan CH, Chu YH, Lee JC, and Juan CJ*, “Imaging Quality of PROPELLER Diffusion-weighted MR Imaging and Its Diagnostic Performance in Distinguishing Pleomorphic Adenomas from Warthin tumors of Parotid Gland”, NMR in Biomedicine, 2020;33(5):e4282. [SCI IF = 3.414; Q1 in Radiology, Nuclear Medicine & Medical Imaging Category]

Feng G, Wang K, Wang X, Chow CK, Lee KH, Ho JDL, Xie X, Tang WL, Liang L, Chang HC, Juan CJ, Liu Y, and Kwok KW*, “Visual Servoing of MR-safe Soft Manipulator for Transoral Laser Microsurgeries”, IEEE Robotics and Automation Letters. (Accepted) [SCI IF = N.A.; Rank = N.A.]

Perucho JA, Chang HC, Vardhanabhuti V, Wang M, Becher AS, Wurnig MC, and Lee EYP*, “B-Value Optimization in the Estimation of Intravoxel Incoherent Motion Parameters in Patients with Cervical Cancer”, Korean Journal of Radiology, 2020;21(20):218-227. [SCI IF = 3.730; Q1 in Radiology, Nuclear Medicine & Medical Imaging Category]

Cheung CL, Ho JD, Vardhanabhuti V, Chang HC, and Kwok KW*, “Design and Fabrication of Wireless Multilayer Tracking Marker for Intraoperative MRI-guided Interventions”, IEEE Transactions on Mechatronics, 2020. (Accepted) [SCI IF = 4.943; Q1 in Engineering Category]

Liu X, Hui ES, and Chang HC*, “Elimination of residual aliasing artifact that resembles brain lesion on multi‐oblique diffusion‐weighted echo‐planar imaging with parallel imaging using virtual coil acquisition”, Journal of Magnetic Resonance Imaging, 2020;51:1442–1453. [SCI IF = 3.732; Q1 in Radiology, Nuclear Medicine & Medical Imaging Category]

Chen NK*, Chang HC, Bilgin A, Bernstein Adam, and Trouard T, “A diffusion-matched principal component analysis (DM-PCA) based two-channel denoising procedure for high-resolution diffusion- weighted MRI”, PLOSONE, 2018;13(4):e0195952. [SCI IF = 2.776; Rank = 20/185 in Agricultural and Biological Sciences Category]

Chang HC*, Hui ES, Chiu PW, Liu X, and Chen NK, “Phase Correction for Three-Dimensional (3D) Diffusion-Weighted Interleaved EPI Using 3D Multiplexed Sensitivity Encoding and Reconstruction (MUSER)”, Magnetic Resonance in Medicine, 2018;79(5):2702-2712. [SCI IF = 4.082; Q1 in Radiology, Nuclear Medicine & Medical Imaging Category]

An H, Lee EYP, Chiu WHK, Chang HC, “The emerging roles of functional imaging in ovarian cancer with peritoneal carcinomatosis”, Clinical Radiology, 2018:73:597-609. [SCI IF = 2.082; Q2 in Radiology, Nuclear Medicine & Medical Imaging Category]

Chu ML, Chang HC, Oshio K, and Chen NK*, “A single-shot T2 mapping protocol based on echo-split gradient-spin-echo acquisition and parametric multiplexed sensitivity encoding based on projection onto convex sets reconstruction”, Magnetic Resonance in Medicine, 2018; 79(1):383-393. [SCI IF = 4.082; Q1 in Radiology, Nuclear Medicine & Medical Imaging Category]

Bruce IP*, Chang HC, Petty C, Chen NK, and Song AW, “3D-MB-MUSE: A robust 3D multi-slab, multi- band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI”, Neuroimage, 2017;159:46-56. [SCI IF = 6.252; Q1 in Radiology, Nuclear Medicine & Medical Imaging Category]

Chang HC and Chen NK*, "Joint correction of Nyquist artifact and minuscule motion-induced aliasing artifact in interleaved diffusion weighted EPI data using a composite two-dimensional phase correction procedure", Magnetic Resonance Imaging, 2016;34(7):974-9. [SCI IF = 2.112; Rank = Q2 in Radiology, Nuclear Medicine & Medical Imaging Category]

Chang HC, Sundman M, Petit L, Guhaniyogi S, Petty C, Song A, Chen NK*, “Human brain diffusion tensor imaging at submillimeter isotropic resolution on a 3 Tesla clinical MRI scanner”, Neuroimage, 2015;118:667. [SCI IF = 6.252; Q1 in Radiology, Nuclear Medicine & Medical Imaging Category]

Chang HC, Guhaniyogi S, and Chen NK*, “Interleaved diffusion-weighted EPI improved by adaptive partial-Fourier and multi-band multiplexed sensitivity-encoding reconstruction”, Magnetic Resonance in Medicine, 2015;73(5):1872-84. [SCI IF = 4.082; Q1 in Radiology, Nuclear Medicine & Medical Imaging Category]