About Me (Email: grwu@med.unc.edu)

I have been working on medical image registration since I started my PhD study in 2003, and I have developed more than 10 registration methods for brain magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), breast dynamic contrast enhanced MRI (DCE-MRI), and lung 4D computed tomography (CT) images.

Currently, I am a faculty member of Radiology Department and BRIC in the University of North Carolina (UNC) at Chapel Hill . My research is focused on fast and robust analysis of large population data, computer assisitted diagnosis, and image guided radiation therapy.

Research Thrusts

Computational Anatomy

Computational Anatomy (CA) is emerging as a discipline focused on the quantitative analysis of variability of biological shape. Applications of CA in brain science have developed rapidly, with applications of brain mapping technologies that provide mechanisms for discovering neuropsychiatric disorders of many types. My research focuses on quantiative measurement tools and cross-section/longitudinal studies on brain development and brain diseases such as Alzheimer's Disease, and Autism.

Computer Asisted Diagnosis

An accurate and early diagnosis of brain disorders is of fundermental importance for the development of effective treatment to palliate the effects of the diseases. Computer-aided diagnosis (CAD) is very useful in improving the prediction accuracy and complementing the neuropsychological assessments performed by expert clinicians. One of my onging project is in length of longitudinal analysis for early diagnosis of Alzheimer’s disease.

Image Guided Radiation Therapy

Image-guided radiation therapy (IGRT) is the most advanced technology to track cancer and spare normal tissues. IGRT is the type of radiation a cancer patient wants because this technology decreases the radiation dose to normal tissue, thus decreasing side effects and improving outcomes. Our team is pursuiting for improving the radiation therapy for lung cancer by advanced image processing and machine learning techniques.


News

  • Postdoctoral Position in Longitudinal Image Analysis: A postdoctoral position on 4D image registration and segmentation is available in IDEA lab , UNC-Chapel Hill, NC. The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image analysis, or computer vision. Experience on medical image registration and segmentation is highly desirable. People with machine learning background are particularly encouraged to apply. Knowledge on neuroscience and programming background (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of 4D image registration and segmentation methods for longitudinal image analysis. The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Guorong Wu ((Email: grwu@med.unc.edu)).
  • Postdoctoral Position in machine learning: A postdoctoral position on machine learning with application to neuroimage-based brain disease diagnosis and prediction is available in IDEA lab , UNC-Chapel Hill. The successful candidate should have a strong background on Electronic Engineering, Biomedical Engineering, Statistics, or Computer Science, preferably with emphasis on machine learning, pattern classification, regression methods, or sparse representation. People with strong experience on machine learning are particularly encouraged to apply. The successful candidate will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. The research topic will be the development and validation of novel machine learning methods for early diagnosis and prediction of brain disorders. Please visit group website (http://bric.unc.edu/ideagroup) for more information. If interested, please email resume to Dr. Guorong Wu ((Email: grwu@med.unc.edu))
  • www.unc.edu/~grwu