Research Areas:

    1. Medical Data Analysis and Bioinformatics
    2. Disease Diagnosis and Prognosis
    3. Medical Device Evaluation and Augmentation
    4. Medical Scientific Visualizations
    5. Minimally Invasive Methodologies

     

    1. Medical Data Analysis and Bioinformatics
    • Hybrid MALDI/Texture Characterized Tumor Imaging and Biomarker Identification for Prostate Cancer
    • Biomarker identification for prostate cancer
    • Denoising of Medical Data
    • Hardware Enhanced Analysis and Visualization

    Demos: Prostate Cancer Classification

     

    1. Disease Diagnosis and Prognosis
    • Predicting Brain Tumor Recurrence and Therapy Response Using Machine Learning Techniques Based on Multimodal Data Feature Extraction
    • Labor & Delivery Analysis
    • Radiation Beam Dosage Profiling

    Demos: Predicting Brain Tumor Growth

 

  1. Medical Device Evaluation and Augmentation

Demos: Cardiac & Fetal Ultrasound for SPs; Near-Infrared Stethoscope Tracking

 

  1. Medical Scientific Visualizations
  • Validation of reconstruction methods for pectus patients’ rib cage using surface scan data
  • Procedural Modeling of Wound Textures
  • Diffusion Tensor Image Segmentation
  • Robotic prostatectomy comparison with traditional open and laparoscopic surgical prostatectomy
  • Medical Education

Demos: Patient Specific Ribcage Segmentation; Prostate Visualization

 

  1. Minimally Invasive Methodologies
  • Measuring in-vivo rib cartilage tissue parameters of pectus excavatum patients
  • Minimally Invasive Surgical planning of the Nuss Procedure for pectus excavatum

Demos: Pectus Excavatum Surface Scans

 

 

 

 
Questions about this web? contract |  Updated:  03/20/08   | Department of Electrical and Computer Engineering  | Old Dominion University