Suppression of Geometric Distortion in CT Image Due to Truncated Projection

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.


[1] Hounsfield, G.H., 1973, "Computerized transverse axial scanning (Tomography): part 1. Description of system," British Journal of Radiology, 46, pp1016-1022.

[2] Gehrke, S. and Wirth, K.E, 2005, "Application of conventional and dual energy x-ray tomography in process engineering," IEEE Sensors Journal, 5(2), pp183-187.

[3] Zhen, X., Yan, Y. and Jia, X., 2013, "Deformable image registration of CT and truncated cone-beam CT for adaptive radiation therapy,” Phys Med. Biology, 58, pp7979-7993.

[4] Ogawa, K., Nakajima, M. And Yuta, S., 1984, "A reconstruction algorithm from truncated projections," IEEE Transactions on Medical Imaging, MI-3(1), pp34-40.

[5] Hoffman, M., Pichler, B. and Beyer, T., 2009, "Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques," Eur J Nucl Med Mol Imaging, 36, pp93-104.

[6] Beyer, T., Bockisch, A., Kuhl, H., and Martinez, M., 2006, “Whole-body 18F-FDG PET/CT in the presence of truncation artifacts,” The Journal of Nuclear Medicine, 47(1), pp91-99.

[7] Available:

[8] Ramachandran, G.N. & Lakhshminarayanan, A.V., 1970 " Three-dimensional reconstruction from radiographs and electron micrographs: Application of convolution instead of Fourier transforms," Proc. Natl. Sci. Acad., 68, pp2236-240.


[10] Bovik, A.C., Sheikh, R. and Simoncelli, E.P., 2004, "Image quality assessment: from error measurement to structural similarity," IEEE Transactions on Image Processing, 13(1), pp1-14.

[11] Munshi, P., 1992, "Error analysis of tomographic filters I: Theory, " NDT & E International, 25, pp191-194.

[12] Munshi, P., Rathore, R.K.S., Ram, K.S. and Kalra, M.S., 1993, "Error analysis of tomographic filters II: Results," NDT & E International, 26, pp235-240.

[13] Munshi, P. and Singh, S.P., 1998, "Hamming signature of three composite specimens," Research in Nondestructive Evaluation, 10, pp535-541.

Usage Shares
Total Views
1 Page Views
Total Shares
0 Tweets
0 PDF Downloads
0 Facebook Shares
Total Usage