BrainSpace v1.0 is a software which is the conformal brain model-based computational environment for integrated modeling and analysis of multimodality imaging data. The developed advanced software will allow the quantitative and integrative analysis of a variety of functional patterns and the relationships between anatomical and functional features in different datasets.It has the potential to be applied across multiple areas of brain research as well as in clinical diagnosis.


Further details of this work are available here.

This prototype aims to provide an comprehensive software environment for the integrative visualization. It can provides the fiber measurement, the PET measurement, and the color map based on the comparison between a patient and the computed normal distribution. The main control panel allows access to fused information of MRI, PET, DTI image data and electrophysiological data. .


Further details of this work are available here.

It's a useful Matlabe sample code for semi-supervised NMF algorithm on homogeneous data clustering.

Further details of this work are available here.

It's a useful Matlabe code for semi-supervised NMF algorithm on heterogeneous data clustering.

Further details of this work are available here.

Exemplar-based Visualization software tool is developed to offer a range of functions of creating visualization with user-specified configuration and thus supporting visual exploration of large-scale document data.

The useful data set (10Pubmed) used for the software are available here.

Exemplar-based Visualization software demo is available here.

Analyze file format (paired *.hdr and *.img), and slice file format (*.slc), have been widely used in the functional neuroimaging field. The files can be used to store voxel-based volumes, such as MRI, fMRI, PET, DTI, etc. This software is designed to convert the volumes from these file formats. It also supports other frequently-used functionalities. It is developed by Yunhao Tan.
The main functionalities include:

• File format conversion
• Volume resampling
• Highpass and lowpass filter
• Making two volumes same metric

Stereoscopic rendering becomes more and more popular in research realms as well in commercial fields. It is the imaging technique capable of delivering 3D visual information by creating illusion of depth. As most modes of current prevalent 3D rendering techniques are cyan-blue, interlaced or interfield, our software provides more vivid visual effects by side-by-side mode. It is developed by Yunhao Tan.
The functionalities include:

• Stereoscopic rendering
• Side-by-side 3D mode
• Angle-of-eyes adjustable