Photo of Wei Huang, Ph.D.

Wei Huang Ph.D.

Wei Huang, Ph.D., conducts research on oncologic magnetic resonance imaging, using advanced MR techniques for early and accurate cancer detection and monitoring therapeutic response. His focus is to improve breast cancer diagnostic accuracy and reduce unnecessary biopsy procedures on women with benign lesions. Dr. Huang's research uses the Shutter-Speed Model dynamic contrast-enhanced (DCE) MRI technique that was developed at the Advanced Imaging Research Center. He also uses multiple functional MR methods—vessel size index MRI, DCE-MRI, diffusion-weighted MRI, and proton MR spectroscopy—for early prediction of breast cancer response to chemotherapy and for accurate assessment of residual cancer after therapy for optimum surgical planning/decision. Other ongoing or planned oncologic MR research studies cover the topics of soft tissue sarcoma, head & neck cancer, liver cancer, and colon-rectal cancer.

Dr. Huang obtained his bachelor's degree in 1988 from Fudan University, Shanghai, China and his Ph.D. in physical chemistry in 1994 from State University of New York, Stony Brook.  He was a postdoctoral fellow at the National Institutes of Health from 1995 to 1998. Dr. Huang has more than eighteen years of experience in in vivo MR research.  He joined the OHSU Advanced Imaging Research Center in 1998.

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Areas of interest

  • In vivo magnetic resonance
  • Magnetic resonance
  • MRI


  • Ph.D., State University of New York at Stony Brook, Stony Brook New York 1994
  • Fellowship:

    • Postdoctoral fellow, National Institutes of Health

Memberships and associations

  • International Society for Magnetic Resonance in Medicine


  • "Publisher Correction : A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations (Scientific Reports (2017) DOI: 10.1038/s41598-017-11554-w)." Scientific Reports In: , Vol. 8, No. 1, 4422, 01.12.2018.
  • "Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy : Theory and preliminary clinical results." Physics in Medicine and Biology In: , Vol. 63, No. 10, 105015, 17.05.2018.
  • "Data descriptor : Dynamic contrastenhanced magnetic resonance imaging for head and neck cancers." Scientific data In: , Vol. 5, 180008, 13.02.2018.
  • "Distinguishing benign and malignant breast tumors : Preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial." Journal of Medical Imaging In: , Vol. 5, No. 1, 011019, 01.01.2018.
  • "Multisite concordance of apparent diffusion coefficient measurements across the NCI quantitative imaging network." Journal of Medical Imaging  In: , Vol. 5, No. 1, 011003, 2018.
  • "A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations." Scientific Reports In: , Vol. 7, No. 1, 11185, 01.12.2017.
  • "DCE-MRI of the prostate using shutter-speed vs. Tofts model for tumor characterization and assessment of aggressiveness." Journal of Magnetic Resonance Imaging  In: , Vol. 46, No. 3, 01.09.2017, p. 837-849.
  • "Accuracy, repeatability, and interplatform reproducibility of T quantification methods used for DCE-MRI : Results from a multicenter phantom study." Magnetic Resonance in Medicine  In: , 2017.
  • "Relative sensitivities of DCE-MRI pharmacokinetic parameters to arterial input function (AIF) scaling." Journal of Magnetic Resonance In: , Vol. 269, 01.08.2016, p. 104-112.
  • "Early prediction and evaluation of breast cancer response to neoadjuvant chemotherapy using quantitative DCE-MRI." Translational Oncology  In: , Vol. 9, No. 1, 01.02.2016, p. 8-17.
  • "Quantitative imaging in cancer clinical trials." Clinical Cancer Research In: , Vol. 22, No. 2, 15.01.2016, p. 284-290.
  • "DCE-MRI of hepatocellular carcinoma : perfusion quantification with Tofts model versus shutter-speed model—initial experience." Magnetic Resonance Materials in Physics, Biology and Medicine  In: , 08.12.2015, p. 1-10.
  • "Demonstration of nonlinearity bias in the measurement of the apparent diffusion coefficient in multicenter trials." Magnetic Resonance in Medicine In: , 2015.
  • "Letter to cancer center directors : Progress in quantitative imaging as a means to predict and/or measure tumor response in cancer therapy Trials." Journal of Clinical Oncology In: , Vol. 32, No. 19, 01.07.2014, p. 2115-2116.
  • "Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response : A multicenter data analysis challenge." Translational Oncology  In: , Vol. 7, No. 1, 2014, p. 153-166.
  • "Errors in quantitative image analysis due to platform-dependent image scaling." Translational Oncology In: , Vol. 7, No. 1, 2014, p. 65-71.
  • "Intratumor mapping of intracellular water lifetime : Metabolic images of breast cancer?" NMR in Biomedicine  In: , Vol. 27, No. 7, 2014, p. 760-773.
  • "Phase i trial of preoperative chemoradiation plus sorafenib for high-risk extremity soft tissue sarcomas with dynamic contrast-enhanced MRI correlates." Clinical Cancer Research In: , Vol. 19, No. 24, 15.12.2013, p. 6902-6911.
  • "Gaussian mixture model-based classification of dynamic contrast enhanced MRI data for identifying diverse tumor microenvironments : Preliminary results." NMR in Biomedicine In: , Vol. 26, No. 5, 05.2013, p. 519-532.
  • "Feasibility of shutter-speed DCE-MRI for improved prostate cancer detection." Magnetic Resonance in Medicine In: , Vol. 69, No. 1, 01.2013, p. 171-178.
  • "A feasible high spatiotemporal resolution breast DCE-MRI protocol for clinical settings." Magnetic Resonance Imaging  In: , Vol. 30, No. 9, 11.2012, p. 1257-1267.
  • "Signal-to-noise ratio, contrast-to-noise ratio and pharmacokinetic modeling considerations in dynamic contrast-enhanced magnetic resonance imaging." Magnetic Resonance Imaging In: , Vol. 30, No. 9, 11.2012, p. 1313-1322.
  • "Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging." European Radiology In: , Vol. 22, No. 7, 07.2012, p. 1451-1464.
  • "Discrimination of benign and malignant breast lesions by using shutter-speed dynamic contrast-enhanced MR imaging 1." Radiology In: , Vol. 261, No. 2, 11.2011, p. 394-403.
  • "Magnetic resonance spectroscopy imaging in radiotherapy planning for recurrent glioma." Medical Physics  In: , Vol. 38, No. 5, 05.2011, p. 2724-2730.
  • "Diagnostic usefulness of water-to-fat ratio and choline concentration in malignant and benign breast lesions and normal breast parenchyma : An in vivo 1H MRS study." Journal of Magnetic Resonance Imaging  In: , Vol. 33, No. 4, 04.2011, p. 855-863.
  • "Invited commentary." Radiographics  In: , Vol. 30, No. 3, 05.2010, p. 716-719.
  • "Feasibility of using limited-population-based average R10 for pharmacokinetic modeling of osteosarcoma dynamic contrast-enhanced magnetic resonance imaging data." Magnetic Resonance Imaging In: , Vol. 27, No. 6, 07.2009, p. 852-858.
  • "Average arterial input function for quantitative dynamic contrast enhanced magnetic resonance imaging of neck nodal metastases." BMC Medical Physics In: , Vol. 9, No. 1, 4, 2009.
  • "Spectrum separation resolves partial-volume effect of MRSI as demonstrated on brain tumor scans." NMR in Biomedicine In: , Vol. 21, No. 10, 12.2008, p. 1030-1042.

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