The clinical applications of CT are integral parts of the modern-day biomedical field. One of the many flaw tomography faces is the photon-starved image artifacts. This report presents a modified reconstruction technique to mathematically attenuate the losses of absorbance data. This method utilizes the nature of Algebraic Reconstruction Technique (ART) convergence as well as its construct to detect and complement the information loss. The Weight Shrinking Iterative Reconstruction Technique (WSIRT) method showed promising results in decreasing the streaks in reconstructed image. A mask effect was found through dissecting the reconstruction that can accurately pinpoint the location of the material that caused the photon starvation, while also creating a mask for the resulting streaks. This provides a great potential as a middle step for a further image treatment to suppress this type of artifacts in CT.