Adaptation of a general-purpose digital radiographic scintillator-based linear detector array (LDA) in a continuous-rotate third generation X-ray industrial tomographic imaging system and the resulting artifacts are discussed. Sources of error in the projection data are identified and a mixed approach, involving neighborhood averaging and row-wise application of a low-pass filter for the minimization of artifacts in the reconstructed images using weighted convolution back projection algorithm is illustrated. It is observed that the recently launched LDA can easily be adapted for industrial tomographic imaging of low-density specimen in a cost effective way by incorporating the suggested artifact removal technique in the given configuration.