First, I apologize for a question one could probably answer by r<ing>tfm thoroughly. But this takes really a lot of time and I would like to have a little success first as a motivation for the start.
Could you be so kind to draft in very short terms possible ways to achieve the results desired. Maybe some of the sample files has a similar structure? Given are 1 to 3 stacks of 40 to 60 time slices/repetitions of an image of 196 to 256 x 256 pixel with 16bith depth. For a given Data set, all images have the same pixel size. Time axis is known, intervals are constant. Data are stored in one dicom series, but can be converted to tiff. 1. I want to specify one/several ROI in one image of the series and get the mean value of the pixel values of all images as y, the time beeing the x axis. 2.1 I want to perform a similar computation on every single pixel for the whole series, e.g. computing the slope of intensity changes over time, transit times and so on and get the result e.g. as a color coded parameter map as an overlay over the original grid. 2.2 I want to filter all images with the same algorithm (smoothing, grouping e.g. 3x3 pixel into one) to be able to perform the calculation of 2.1. in a realistic amount of time (maybe due to the web- and x-server running on my W98 machine, opendx is really slow). Thank you for any help Alexander
