In COMAPUTED TOMOGRAPHY, each pixel is assigned in the reconstituted image.
This CT number also depends on the linear attenuation coefficient of the tissues in each section.
In image reconstruction, the information collected by the detectors should be displayed as 2-D images.
The process of using RAW DATA and creating an image is called IMAGE RECONSTRUCTION.
IN CT we have 3 main reconstruction Methods:
Nowadays, by using new Methods of image
reconstruction it is even possible to reduce the Dose of the patient without reducing the quality of the image.
Recently, new algorithms for reducing noise with factors for less radiation used and in this case the quality of the image or spatial resolution and low contrast detection are maintained, and artifacts caused by metals or beam hardening and photon deficiency are reduced.
Akbarnezhad, M., Ranjbar, B., & Mirzaei Rashed, N. (2023). Advanced Reconstruction Applications in Computed Tomography. Iranian Congress of Radiology, 38(4), 201-201. doi: 10.22034/icrj.2023.179611
MLA
Mohammad Akbarnezhad; Behnam Ranjbar; Nasim Mirzaei Rashed. "Advanced Reconstruction Applications in Computed Tomography". Iranian Congress of Radiology, 38, 4, 2023, 201-201. doi: 10.22034/icrj.2023.179611
HARVARD
Akbarnezhad, M., Ranjbar, B., Mirzaei Rashed, N. (2023). 'Advanced Reconstruction Applications in Computed Tomography', Iranian Congress of Radiology, 38(4), pp. 201-201. doi: 10.22034/icrj.2023.179611
VANCOUVER
Akbarnezhad, M., Ranjbar, B., Mirzaei Rashed, N. Advanced Reconstruction Applications in Computed Tomography. Iranian Congress of Radiology, 2023; 38(4): 201-201. doi: 10.22034/icrj.2023.179611
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