Image reconstruction from truncated CT projection data is a very serious problem. Truncation artefact occurs when an object gets extended out of the scan-field-of-view of the scanner. Geometric distortion is often found in the CT images reconstructed from truncated projection data. Oscillations due to sudden cut-off of the projection data is the key source of the artefact. Here we present a new method to solve the problem of truncated data. The proposed method performs two incomplete scans of a large object to cover the full area. Noisy CT Image is then reconstructed from those truncated data. Recovery of good quality image from those noisy images involves fusion based region-of-interest filtering.
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