• R. Ramji
• S. Devi

Current technology makes enormous impact in electron tomography. The field of transmission electron microscopy (TEM) has received significant growth and advantage in modern equipment such as field-emission electron arms, aberration correctors and monochromators. The proposed methodology extends the traditional filtered back projection by applying ramp filter which is applied in Fourier transform domain. The value of reconstructed image is formed by dot-product of the discrete projection data with the weight vector. The reconstruction image has been converted back by modified filtered back projection method using ramp filter with inverse discrete Fourier transform is computed for each of the projection data, reconstructed data is computed by dot product of above computed data and ramp filter. The performance of the reconstruction technique is analyzed in terms of various measures and tested using various indicators such as mean square error and results obtained indicates that proposed methodology performs significantly better than traditional analytical reconstruction methods.

Tomography, Discrete Tomography, Total Variation Regularized Discrete Algebraic Reconstruction Techniques, Compressed Sensing.

"An Empirical Study of Tomography and Denoising Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.2323-2329, March-2021, Available :http://www.jetir.org/papers/JETIR2102286.pdf

"An Empirical Study of Tomography and Denoising Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp2323-2329, March-2021, Available at : http://www.jetir.org/papers/JETIR2102286.pdf