The "Reference" file is the target image you are trying to register to the "Object" file is the image volume you want to move around. If your images have even dimensions, you can select "-2" to zoom by 1/2. The "Zoom" parameter controls the size of the displayed images. The default is to allow files of different sizes. You may unselect "Various Dims OK" if all files should have the same dimensions as the first file, so different-dimensioned files will be removed from the filename list. "Globally" will scale allof the images to the same global min and max.
#ADOBE GOLIVE TEXT CHANGING POSITIONS UPDATE#
"None" (the default) will keep the original data values, but the display update will be slower. "Each" indicates that each image will be scaled into the range 0-255, and converted to 8-bit data. The "Scaling" parameter controls how the images will be scaled once they are read in. Selecting the "images" option will cause all of the image files in the filename menu to be read in, and the images will be displayed. Options include the filename menu, the images, and histograms of each of the images. This menu lets you move between the Filename, Image, and Histogram menu, and lets you change parameters for reading and displaying images. On the left-hand side of the BrainSqueezer GUI is a control panel that is always visible. The basic algorithm was generously provided by John Votaw. Brainsqueezer then uses an IDL-based approach to reslice the object image according to the user-specified parameters.īrainSqueezer uses a trilinear interpolation via IDL's "INTERPOLATE" function. It does, however, provide visualization tools that let the user compare two data sets, and furthermore provides tools to let the user find an optimal fit. BrainSqueezer never ever never compares two data sets or tries to optimize a coregistration fit. part of the cerebellum or the posterior half of the brain is missing.īrainSqueezer's approach is entirely user-guided, or "by-eye". One of the data sets does not cover the entire brain, e.g.There is an abnormality such as a tumor or stroke.There is an artifact due to some aspect of data acquisition, such as a drop-out artifact encountered in some fMRI studies.Some examples where an automated approach will fail are: Welcome to Adobe GoLive 4 BrainSqueezer Coregistration DemoīrainSqueezer lets you perform "coregistration by eye", which is especially useful for incorrigible cases where an automated approach just cannot get the job done.
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