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Biomedical Image Analysis

 

Deformable Segmentation using Sparse Shape Representation

We propose Sparse Shape Composition model (SSC) to deal with these three challenges in a uniļ¬ed framework.

MR Reconstruction

We propose composite splitting algorithms which are applied to the compressed MR image reconstruction.

Left Ventricle Motion Analysis

The in-wall motion and the strain field of the left ventricle myocardium are reconstructed from tagged MRI.

4D High-resolution Cardiac Reconstruction

4D cardiac reconstruction using high resolution CT images captures complex anatomical features, such as the papillary muscles and the ventricular trabeculae.

4D Cardiac Reconstruction and Blood Flow Simulation

4D cardiac reconstructions are created using high resolution CT images captures complex anatomical features. A simulation of the blood flow is performed and visualizations are generated to find problems.

Deformable Segmentation

We propose a robust deformable segmentation method, Metamorphs, which integrates the region information with the gradient information. We use this algorithm to solve diverse applications such rodent brain segmentation in MRI and cardiac segmentation in CT.

Cancer Cell Tracking

The deformable contours and moving trajectories of cancer cells are tracked in computerized Video Time-lapse Microcopy.

Tag Separation

We introduce a tag separation method for better cardiac boundary segmentation and tag tracking.

Bioluminescence Image Anaysis and Diagnosis

4D cardiac reconstruction using high resolution CT images captures complex anatomical features, such as the papillary muscles and the ventricular trabeculae.