Pattern and Surface-based Morphometric Analysis of Brain Activity Changes with Image Compression
نویسندگان
چکیده
Tensor-based morphometry is a prevailing tool that automatically computes longitudinal change in brain structure. We propose a new method named as pattern based with surface based morphometry on brain changes with compression. This method is used to improve sensitivity without increase in noise. Thus it will have enhanced power to detect differences within normal aging and along the spectrum of cognitive impairment. Our propose method also used to compress magnetic resonance images (MRIs) based on compression ratio(CR), peak signal-tonoise ratio(PSNR) and encoding time.
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