Parallelism of iterative CT reconstruction based on local reconstruction algorithm
نویسندگان
چکیده
منابع مشابه
A Novel Iterative CT Reconstruction Approach Based on FBP Algorithm
The Filtered Back-Projection (FBP) algorithm and its modified versions are the most important techniques for CT (Computerized tomography) reconstruction, however, it may produce aliasing degradation in the reconstructed images due to projection discretization. The general iterative reconstruction (IR) algorithms suffer from their heavy calculation burden and other drawbacks. In this paper, an i...
متن کاملFast System Matrix Calculation in CT Iterative Reconstruction
Introduction: Iterative reconstruction techniques provide better image quality and have the potential for reconstructions with lower imaging dose than classical methods in computed tomography (CT). However, the computational speed is major concern for these iterative techniques. The system matrix calculation during the forward- and back projection is one of the most time- cons...
متن کاملIterative CT Reconstruction Using Curvelet-Based Regularization
There is a critical need to reconstruct clinically usable images at a low dose. One way of achieving this is to reconstruct with as few projections as possible. Due to the undersampling, streak artifacts degrade image quality for traditional CT reconstruction. Compressed sensing (CS) [1] theory uses sparsity as a prior and improves the reconstruction quality considerably using only few projecti...
متن کاملIterative CT Reconstruction on the GPU
The computing power of modern GPUs makes them very suitable for Computed Tomography (CT) image reconstruction. Apart from accelerating the reconstruction, their extra computing performance compared to conventional CPUs can be used to increase image quality in several ways. In this paper we present our upgraded GPU based iterative reconstruction algorithm, including ML-TR (Maximum Likelihood alg...
متن کاملCT of the chest with model-based, fully iterative reconstruction: comparison with adaptive statistical iterative reconstruction
BACKGROUND The recently developed model-based iterative reconstruction (MBIR) enables significant reduction of image noise and artifacts, compared with adaptive statistical iterative reconstruction (ASIR) and filtered back projection (FBP). The purpose of this study was to evaluate lesion detectability of low-dose chest computed tomography (CT) with MBIR in comparison with ASIR and FBP. METHO...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Supercomputing
سال: 2008
ISSN: 0920-8542,1573-0484
DOI: 10.1007/s11227-008-0198-9