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Deseree Z
2014-10-14
I like the improvements to the program & the variety of options. I would like to see the "circle" option with a little more flexibility - right now it is very thick & not practical. I also could not adjust the position of text boxes that were misaligned without deleting and recreating them.
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The standard method of reconstructing CT slices is back projection. This involves “smearing back” the projection across the image at the angle it was acquired. By smearing back all the projections, you reconstruct an image.
Image reconstruction in CT is a mathematical process that generates tomographic images from X-ray projection data acquired at many angles around the patient. Two major categories of reconstruction methods exist, analytical reconstruction and iterative reconstruction (IR).
Image reconstruction is the term describing the calculation of images from the raw data obtained from the detector modules of the CT scanner. This is a process that cannot be performed in real time. Reformatting or other three-dimensional (3D) image manipulation of the image data is still possible.
(FOR) The field of view is the maximum diameter of the area of the scanned object that is represented in the reconstructed image. (SFO) The scan field of view is the area being scanned. This selectable scan factor is measured from a CT system center to the most distant located edge of the patient.
Iterative reconstruction refers to iterative algorithms used to reconstruct 2D and 3D images in certain imaging techniques. For example, in computed tomography an image must be reconstructed from projections of an object.
A sonogram is a special x-ray procedure that is done to visualize any abnormal opening (sinus) in the body, following the injection of contrast media (x-ray dye) into the opening. There are no diet restrictions before a sonogram.
The kernel, or convolution algorithm, refers to the process used to modify the frequency contents of projection data prior to back projection 1. This process corrects the image by reducing blurring 1. The kernel affects the appearance of image structures by sharpening the image.
The reconstruction kernel, also referred to as filter or algorithm by some CT vendors, is one of the most important parameters that affect the image quality. A smoother kernel generates images with lower noise but with reduced spatial resolution.
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