Jul 17, 2014 · Our results show that the CS-based interior tomography is able to reconstruct excellent volumetric images with GPU acceleration in a few minutes ...
Oct 22, 2024 · In this paper, we apply the SB approach to reconstruct an ROI for the CS-based interior tomography assuming a piecewise constant imaging model.
This paper presents a graphics processing unit (GPU)-based parallel computing technique applied to accelerate the CS-based interior reconstruction for ...
In this paper, a graphics processing unit (GPU) based parallel computing technique is applied to accelerate the CS-based interior reconstruction for practical ...
In this paper a methodology to accelerate tomographic image reconstruction based on maximum likelihood expectation maximization iterative algorithm and combined ...
Our results show that the CS-based interior tomography is able to reconstruct excellent volumetric images with GPU acceleration in a few minutes. View full-text.
A simple and efficient technique to accelerate the computation of a nonlocal dielectric model for electrostatics of biomolecule.
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What is Gpgpu acceleration?
It implements GPU-based pre-processing steps and filtered backprojection operators, as well as optimized data transfer mechanisms among storage drives, CPU RAM ...
Missing: Interior | Show results with:Interior
In this paper, we present a full memory-aware management optimization scheme to reconstruct high-resolution volumes for a large number of X-Ray images as ...
Missing: Interior | Show results with:Interior
Jan 8, 2020 · In this paper we propose a parallel SGP version designed to perform the most expensive computations of each iteration on Graphics Processing Unit (GPU).