CT image reconstruction from partial angular measurements via compressed sensing

摘要: Computed Tomograhpy (CT) is a technology that takes projection data along trajectory and reconstructs an image of the objects. But it exposes patients to significant radiation. Therefore, lower radiation dose has been constantly pursued. The amount function number projections. However, in traditional reconstruction algorithms, for example, filtered back (FBP) method, projections must satisfy Shannon/Nyquist sampling theorem so as avoid streaking artifacts. In this paper, we apply compressed sensing CT reconstruction. algorithm minimizes l 1 wavelet transform coefficient total variation image. It employs FBP calculate intermediate results derivative object each iteration. Our simulation experiments show method can reconstruct images from substantially fewer than requirement limit. Hence associated be reduced without noticeable aliasing artifacts