Deqiang Qiu
Contact
Health Sciences Research Building II G129EmoryBiography
Dr. Deqiang Qiu is an imaging physicist with extensive experience in developing and applying advanced imaging methods in studying neurogenerative diseases and other neurological conditions. He is Associate Professor in the Departments of Radiology, Biomedical Engineering, and Computer Science. He also serves as Program Director of MR of Center for Systems Imaging Core in Emory University School of Medicine. He leads Neuroimaging Core of Emory Goizueta Alzheimer's Disease Research Center, and oversees the acquisition, analysis and sharing of PET images and MR images. He is the PI, site-PI and Co-I of 13 active NIH funded projects, and is involved in multiple national studies such as the ADNI, CLARiTI, DIAN-TU, SuperAger, ALLFTD, among others, and lead the imaging component of Emory Healthy Brain Study that performs biennual MR imaging and other multimodal assessments of >2000 community-recruited cognitive normal older participants. His recent efforts include leveraging machine learning, AI technologies, and big data (including those from healthcare PACS and electronic medical records) for studying Alzheimer's Disease, stroke, and other neurological conditions.
Education
- Postdoctoral Fellow at RSL in Radiology, Stanford University, 2010-2013
- PhD in medical imaging, The University of Hong Kong, 2009
- BS in Engineering Physics, Tsinghua University, 2003
Academic Appointments
Affiliated Centers & Institutes
Research Interests
Deqiang Qiu’s research focuses on developing novel image acquisition methods, advanced reconstruction techniques, and quantitative analysis approaches for biomedical imaging. His work integrates MR physics, multimodal imaging, and machine learning to improve the sensitivity, reliability, and interpretability of neuroimaging biomarkers. A major emphasis is applying these innovations to study Alzheimer’s disease and other neurological conditions, including vascular and neurodegenerative disorders. His research aims to advance early detection, mechanistic understanding, and precision monitoring of brain health through interdisciplinary collaboration spanning imaging science, data analytics, and clinical neuroscience.