Hi, The typical solution (e.g., in clincial scanners) is to reconstruct the field-of-view of the scanner (every point in space that is seen by all source positions) because you know this is the only area of space where your reconstruction is going to be accurate. rtkfieldofview generates this FOV. Simon
On Thu, May 12, 2016 at 6:12 AM, AMJAD N <[email protected]> wrote: > Hello users, > > I have successfully implemented CBCT reconstruction using both CUDA and > CPU method. For finding the reconstruction volume size, I measured the > actual object size. divided by respective axis number of pixels to get > spacing. > > eg: If my object is 10x15x20 cm. I measure that dimensions. If the > required volume is 500x600x700 px, to get spacing i used > 10/500,15/600,20/700. > > But this is not practically possible for every object. Is there any way to > find the reconstruction volume spacing other than doing the above method. > > I have SDD(Source Detector Distance), SID(Source Isocenter Distance), > Detector physical size,pixel density. > > Thanks and Regards > > AMJAD N >
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