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+# Alignment_CT
+Alignment solutions in CT image processing
+
+
+# Virtual Alignment Method (VAM) for projection image alignment algorithm to get clean CT image reconstructions.
+1.	VAM for rigid sample
+2.	VAM for elastic sample
+
+
+# VAM Test Version Description
+1. Generate sinogram using Radon Trasform for Shepp-Logan phantom image
+2. Apply random translation error to each column of sinogram
+3. Calculate center of attenuation and use it as a fixed point
+4. Apply VAM to the obtained fixed point
+5. CT image reconstruction acquisition
+
+P.S. See "fp_phantom.png" for the location of the fixed point in the reconstruction
+
+# How to apply VAM to real samples with translation errors
+1.	Calculate a fixed point in the whole projection set
+2.	Align the projection image set to the axial level (common layer) of the specimen by adjusting the height of the fixed point
+3.	Apply VAM to a fixed point on the adjusted projection image set
+4.	Obtain ideally aligned CT reconstructions using an ideally aligned projection image set