VNFAT | VisionX V4 |
vnfat − noise aware fat segmentation of a CT image
SYNOPSISfatsegmentation if=<infile> ig=<> ig2=<> th=<> th2=<> of=<ofile>
DESCRIPTIONvnfat incorporates an estimate of noise to achieve a better fat segmentation. The main input is an image with a local noise estimate. The two secondary inputs are fat segementations with different levels of filtering. Filt1 should be a fat segmentation with preprocessing of a 5x5x5 mean filter and Filt2 should be fatsegmenataion with preprocessing of a 3x3x3 mean filter. Th is a low threshold. Under this threshold the fat segmentation from filt2 is used. Above th the fat segmentation from filt1 is used. Th2 is a high threshold, above which no segmenataion is attemped. Recommended are th=90 and th2=400.
CONSTRAINTAll input file must be short.
OPTIONS|
if= |
input noise estimate image |
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of= |
fat segmentation output |
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ig= |
large filtered input (recommended a 5x5x5 mean) |
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ig2= |
small filtered input (recommended a 3x3x3 mean) |
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th= |
low threshold |
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th2= |
high threshold |
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AUTHORJ. Padgett