Distance-driven projection and backprojection in three dimensions

By B. De Man, S. Basu. Physics in Medicine and Biology, 2004

529 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiation, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/ea59faf969ec52b9f615a5cdd380236e7eafce72

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In Biomedical Engineering

In Radiation

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

A three-dimensional statistical approach to improved image quality for multislice helical CT. (2007, methodology): “As an alternative, the DD kernel of [36] has been shown to produce images free of artifacts related to the forward model, so we propose here an implementation tailored to coordinate descent optimization algorithms.”
Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm (2011, background): “Crucial to the implementation of the CP algorithm instance is that A T be the exact transpose of A , which is a non-trivial matter for tomographic applications, because the projection matrix A is usually computed on-the-ﬂy [26], [27], [28].”
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss (2017, unknown): “Generally, those algorithms optimize an objective function that incorporates an accurate system model [11], [12], a statistical noise model [13]–[15] and prior information in the image domain.”
Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization (2011, methodology): “We use a distance driven (DD) forward model [9] for the calcul ation of A [2].”
Iterative reconstruction methods in X-ray CT. (2012, methodology): “All methods can be separated into two groups: source-driven methods, which essentially project each voxel as either a 3D box or a blob (often a sphere) onto the detector image [32,37,38,39] and destination-driven methods, which cast one or multiple rays from the detector pixel position to the x-ray ”
Low-Dose X-ray CT Reconstruction via Dictionary Learning (2012, unknown): “If there is no requirement for high resolution, the well-known distance-driven method can be used to replace the time-consuming area model [50], which can speed up the image updating step by an order of magnitude.”