This page is constantly under construction….

 

My research focuses on topics in medical image registration, segmentation, computation geometry, human motion tracking for automated scene understanding. The following are project topics I am working on:

  • Segmentation guided image registration for medical images.
  • Robust multi-modal image registration using spatial Mutual Information.
  • Distribution based real-time human motion tracking.
  • Model-based segmentation using intensity and distribution matching.  

If you are interested in any of these topics, feel free to contact me for further discussion.

 

  1. Title: Deformation-based Morphometry (II)

Sponsor: University of Kentucky

Role: Principal Investigator

 

  1. Title: Deformation-based Morphometry (I)

Sponsor: University of Kentucky

Role: Principal Investigator

 

  1. Title: Software Development in Medical Image Analysis

Sponsor: Office of Vice President for Research, Ohio University (through OU Priority BMIT project)

Role: Principal Investigator

 

  1. Title: Advanced Image Segmentation and Registration Techniques

Sponsor: University of Kentucky

Role: Principal Investigator

 

  1. Title: Biomolecular Innovation and Technology (BMIT) Partnership

Sponsor: Office of Vice President for Research, Ohio University

Role: co- Investigator

 

  1. Several $5,000 Research Challenge grants from the Office of VP for Research, Ohio University

 

 

Projects on MRI Brain Analysis

·       Brain atrophy measurement for Alzheimer’s Disease

The primary goal of this project is to identify imaging  and biomarker metrics that can potentially serve as reliable bases in AD diagnosis and prevention.  Advanced image alignment tools are being developed to answer 1) for each individual AD  patient, how does the atrophy change as the clinical  stages progress? 2) What is the magnitude of the  change? 3) For a group of AD patients, is there any  common shrinkage pattern among them?  This  project is funded by the Alzheimer’s Center of  University of Kentucky.

 

 

                          

 

·        Brain structure segmentation for Parkinson’s Disease

This project is in collaboration with the University of Kentucky Sanders-Brown Center of Aging. Our primary hypothesis is that depression in PD is linked to structural and functional abnormality in cortical and subcortical structures such as medial frontal cortex, caudate, maygdala etc. Brain structure segmentation algorithms and software packages are developed to measure the volume changes for these areas. This project is funded by NIH through a University of Kentucky subcontract.

 

            Whole brain tissue classification

 

           

 

 

Sub-cortical structure segmentation

 

 

·       CT/MR registration for neurosurgical planning Different modalities usually contain complementary info. For the information to be effectively combined, to align the images is the prerequisite.

 


·       Automatic Lesion Detection for Multiple Sclerosis (more details to come)

   

 

   

 

 

 

Projects on MicroCT Image Analysis

·       Abdominal Fat segmentation for Diabetes and Obesity Studies