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In solving statistical iterative reconstruction problems, gradient-based algorithms are more amenable to parallel computing hardware such as GPUs and hence, can be made to have lower computation cost per iteration. However, they typically require more iterations to converge to a useful image. Among various acceleration techniques, algorithms proposed by Nesterov have proven to achieve an optimal convergence...
High spatial resolution in x-ray computed tomography (CT) is paramount in many clinical applications. In conventional filtered-backprojection (FBP) reconstruction, spatial resolution is optimized by using high-resolution filter kernels that have been adjusted for decades through clinical feedback. Compared to FBP, model-based iterative reconstruction (MBIR) has shown substantial advantage in improving...
We investigated inline holographic CARS microscopy, in which the reference generated from a nonlinear medium co-propagates with the CARS signal produced from a specimen. We show that this technique has 3D chemical selective imaging capability.
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