Radon Transform based Local Tomography Algorithm for 3 D Reconstruction
نویسنده
چکیده
An algorithm from Radon transform to obtain local tomography from multiple CT slices for localized 3D reconstruction is developed. The proposed method uses Radon transform to obtain projections for a region of interest. Reconstructing a particular cross section of a human body using local data will significantly reduce Xray exposure during imaging. Image reconstruction is performed using filtered back projection technique. The property that distinguishes the developed algorithm from previous algorithms is the ability to track the Region of Interest (ROI) for every projection angle, computing projections along the lines intersecting the region of interest, and performing reconstruction using purely local data. Parallel beam projections are used and ROI is defined by a square or circular region. To reconstruct a local region of 20 pixel radius in a 256 x 256 image, 13% of the global data is required. Keywords— Local tomography, Filtered back projection, Radon transform, Region of Interest
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