Quantitative Evaluation of 3D Reconstruction Using Filtered Back-Projection on XCAT Phantom

Filtered Back-Projection (FBP) algorithm is the most common used reconstruction algorithm in Computed Tomography (CT) systems. This paper presents the reconstruction of a 3D CT body phantom using FBP algorithm and MATLAB software. After obtaining the projections, different filters were tested: Ram-lak, shepp-logan, cosine, hamming and hann filters. In addition, a comparison was carried out for the quantitative image characteristics including the signal to noise ratio (SNR), contrast to noise ratio (CNR) and the spatial resolution for slices taken in three planes: axial, coronal and sagittal. Finally, the error was calculated for each reconstructed image. Initial results showed that shepp-logan and cosine filters generated most advantageous images in terms of image characteristics.