Out-of-core cone beam reconstruction using multiple GPUs - IEEE Xplore
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Abstract: This paper presents a graphics processing unit (GPU) based method capable of accelerating cone-beam reconstruction of large volume data, ...
ABSTRACT. This paper presents a graphics processing unit (GPU) based method capable of accelerating cone-beam reconstruction of.
This paper presents a graphics processing unit (GPU) based method capable of accelerating cone-beam reconstruction of large volume data, which cannot be ...
This paper presents a graphics processing unit (GPU) based method capable of accelerating cone-beam reconstruction of large volume data, which cannot be ...
Sep 17, 2021 · Comparison of MLEM reconstruction performance using multi-GPU and multi-core ... Fast parallel image reconstruction for cone-beam FDK algorithm.
The algorithm proposed by Feldkamp, Davis, and Kress, commonly referred to as the FDK algorithm is a well-known 3D reconstruction approach based on an ...
ABSTRACT. In this paper, we express a concept that the complete reconstruction process should include the computation part on GPUs and the data storage part ...
This paper presents an acceleration method for cone beam reconstruction using CUDA compatible GPUs.
An image algorithm to reconstruct cone beam computed tomography using two dimensional projections is implemented using GPUs. The implementation takes slices ...
Jun 7, 2023 · The MCR Toolkit source code is implemented in C/C++ and NVIDIA's CUDA GPU programming interface, with scripting support from MATLAB and Python.