FACT

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Features

Analysis Methods:

1. Statistics Methods

  1. Direct Subtraction
  2. Cross-Correlation Analysis
  3. Correlation Coefficient Analysis
  4. Student t-Test

2. Temporal Clustering Methods

  1. Kohonen Clustering Neural Network
  2. Fuzzy Clustering
  3. Correlation-based Fuzzy Clustering

Reference: KH Chuang, et al. Model-free fMRI Analysis Using Kohonen Clustering Network and Fuzzy C-means IEEE Trans Med Imaging, 18(12) p.1117-28, 1999.

Application: Chuang KH, et al. Application of model-free analysis in the MR assessment of pulmonary perfusion dynamics. Magn Reson Med. 2005 54:299-308.

Preprocessing

1. Stability test by temporal standard deviation

2. Center of mass head motion detection

3. Segmentation by multi-spectral MRI (T1W, T2W, & PDW)

4. Image registration using Automated Image Registration (AIR)

Image Format Supported

1. 8bit Grayscale Raw

2. GE Signa (*.mr)

3. Siemens Vision single slice or mosaic (*.ima)

4. Analyze/SPM (*.img)

5. MGH (*.bshort)

6. Bruker (2dseq)

7. User define (8-bit, 16-bit integer, 32-bit integer, or 32-bit floating point, with variable header length)

Support big-endian (Sun, SGI,...) and little-endian (Intel x86) conversion.

Other Functions

1. Zoom-in

2. ROI Selection: Rectangle, Ellipse, Point

3. ROI signal change evaluation

4. fMRI CINE play

5. Mask calculation: AND, OR

6. Save/load index

7. Different resolution display layout

8. GUI front-end for AIR