Image Analysis

SCI's imaging work addresses fundamental questions in 2D and 3D image processing, including filtering, segmentation, surface reconstruction, and shape analysis. In low-level image processing, this effort has produce new nonparametric methods for modeling image statistics, which have resulted in better algorithms for denoising and reconstruction. Work with particle systems has led to new methods for visualizing and analyzing 3D surfaces. Our work in image processing also includes applications of advanced computing to 3D images, which has resulted in new parallel algorithms and real-time implementations on graphics processing units (GPUs). Application areas include medical image analysis, biological image processing, defense, environmental monitoring, and oil and gas.

Ross Whitaker Segmentation	Sarang Joshi Shape Statistics Segmentation Brain Atlasing	Tolga Tasdizen Image Processing Machine Learning	Tom Fletcher Shape Statistics Diffusion Tensor Analysis
Chris Johnson Diffusion Tensor Analysis

Image Analysis Project Sites:

• Model-Based Reconstruction for Dynamic MRI

Publications in Image Analysis: