and to avoid the biological specimen damage, it can be used along with compressive sensing techniques or regularization functions (e.g. Huber function) to improve the reconstruction for better interpretation. Here is an example that illustrates the benefits of iterative image reconstruction for cardiac MRI. See also Tomographic reconstruction Positron Emission Tomography Tomogram Computed Tomography Magnetic Resonance Imaging Inverse problem Osem Deconvolution Inpainting Algebraic Reconstruction Technique iterative Sparse Asymptotic Minimum Variance References Medical imaging Image processing