314-935-7519
zhu.q@wustl.edu
Whitaker Hall, Room 200F

PhD, University of Pennsylvania, 1992
MS, Chinese Academy of Medical Science, 1987
BSE, Northern Jiaotong University, 1983

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Affiliations

Quing Zhu

Biomedical Engineering

Professor

Research

Quing Zhu has pioneered the combining ultrasound and near infrared (NIR) imaging modalities for clinical diagnosis of breast cancers and for treatment assessment and prediction of advanced breast cancers. In addition, Zhu and her team as well as her collaborators have pioneered co-registered ultrasound and photoacoustic imaging techniques for ovarian cancer detection and diagnosis. Recently, Zhu’s team and her collaborators at Medical School have investigated co-registered photoacoustic microscopy and ultrasound, optical coherence tomography and structured light techniques for colorectal cancer diagnosis and for rectal cancer treatment response prediction. Her passion is to advance cancer diagnosis and treatment prediction . Her research interests are focused on multi-modality photoacoustic, ultrasound, optical coherence tomography, structured light imaging techniques for cancer detection, diagnosis and treatment assessment and prediction.

Biography

Professor Zhu joined Washington University in St. Louis as a professor of the Department of Biomedical Engineering in July 2016. Previously, she was a professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Connecticut.

Professor Zhu has been named Fellow of Optical Society of American (OSA), Fellow of SPIE- International Society for Optics and Photonics, a Member of Connecticut Academy of Science. Professor Zhu received the Connecticut Technology Council 2007 Women of Innovation Award. She is a Topical Editor of Optics Letters, and an editorial board member of Photoacoustic and Biomedical Optics. She is a member of organizing committee for the SPIE Photonics West Photon Plus Ultrasound Conference, and Optical Tomography and Spectroscopy of Tissue IX conference.

Advances cancer detection, diagnosis and treatment prediction and monitoring

In the News

 

 

Machine learning, imaging technique may boost colon cancer diagnosis https://engineering.wustl.edu/news/Pages/Machine-learning-imaging-technique-may-boost-colon-cancer-diagnosis.aspxMachine learning, imaging technique may boost colon cancer diagnosis
In the media: Noninvasive imaging technique could reduce breast biopsieshttps://engineering.wustl.edu/news/Pages/Noninvasive-imaging-technique-could-reduce-breast-biopsies.aspxIn the media: Noninvasive imaging technique could reduce breast biopsies
Seeking to reduce biopsies for breast tumors through novel imaging technologyhttps://engineering.wustl.edu/news/Pages/Seeking-to-reduce-biopsies-for-breast-tumors-through-novel-imaging-technology.aspxSeeking to reduce biopsies for breast tumors through novel imaging technology
In the media: Combining Sound and Light Could Help with Early Ovarian Cancer Diagnosishttps://engineering.wustl.edu/news/Pages/Combining-Sound-and-Light-Could-Help-with-Early-Ovarian-Cancer-Diagnosis.aspxIn the media: Combining Sound and Light Could Help with Early Ovarian Cancer Diagnosis
‘Hopeful technology’ could change detection, diagnosis of deadly ovarian cancer https://engineering.wustl.edu/news/Pages/Hopeful-technology-could-change-detection-diagnosis-of-deadly-ovarian-cancer.aspx‘Hopeful technology’ could change detection, diagnosis of deadly ovarian cancer