Abstract
A feasibility study was conducted to segment 1.5T functional magnetic resonance images (fMRIs) into gray matter and veins using individual pixel intensity difference and temporal phase delay as two correlated parameters in 1.5T gradient echo images. The time-course of each pixel in gradient echo images acquired during visual stimulation with a checkerboard flashing at 8Hz was correlated to the stimulation ‘on’-‘off’ sequence to identify activated pixels, and the temporal delay of each activated pixel was computed by fitting its time-course to a reference sinusoidal function. A histogram of the product of each pixel's intensity (in the activated image) and corresponding temporal delay could be fitted to a bimodal distribution, which was then used to segment the functional image into veins and activated brain tissue. The results show relatively good demarcation between large veins and activated gray matter using this method.
| Original language | English |
|---|---|
| Pages (from-to) | 1338-1342 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Nuclear Science |
| Volume | 42 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Aug 1995 |
Bibliographical note
Funding Information:The authors are grateful to Dr. Patrick Colletti, Director of the LACNSC Diagnostic Imaging Center, and the American Health Services Corporation for use of the 1.5T Philips MRI system. This work is supported in part by gtant NIA-NIH P50 AG05142.
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