Project-Bioluminescence-Image

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

Project-Blood-Flow

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.

Project-Cardiac-Reconstruction

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

Project-Cell-Tracking

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

Project-Deformable-Segmentation

We propose Sparse Shape Composition model (SSC) to deal with these three challenges in a unified framework.

Project-LV-Motion

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

Project-MR-Reconstruction

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

Project-SSC

Organ shape plays an important role in various clinical practices such as segmentation. Effective modeling of shape priors is challenging because: (1) shape variation is complex and cannot always be modeled by a parametric probability distribution; (2) a shape instance derived from image appearance cues (input shape) may have gross errors; and (3) local details of the input shape are difficult to preserve if they are not statistically significant in the training data. We propose Sparse Shape...

Project-Tag-Separation

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