Performance evaluation in the reconstruction of 2D images of computed tomography using massively parallel programming CUDA

@article{Cordeiro2021PerformanceEI,
  title={Performance evaluation in the reconstruction of 2D images of computed tomography using massively parallel programming CUDA},
  author={Alexssandro Ferreira Cordeiro and Pedro Luiz de Paula Filho and Hamilton Pereira Silva and Arnaldo C{\^a}ndido J{\'u}nior and Edresson Casanova and Jandrei Sartori Spancerski},
  journal={Brazilian Journal of Development},
  year={2021}
}
Purpose: analysis of processing time and similarity of images generated between CPU and GPU architectures and sequential and parallel programming methodologies. Material and methods: for image processing a computer with AMD FX-8350 processor and an Nvidia GTX 960 Maxwell GPU was used, along with the CUDAFY library and the programming language C# with the IDE Visual studio. Results: the results of the comparisons indicate that the form of sequential programming in a CPU generates reliable… 

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References

SHOWING 1-10 OF 22 REFERENCES

Cuda Parallel Implementation of Image Reconstruction Algorithm for Positron Emission Tomography

The performance in GPU with Tesla and Fermi, which are respectively the first and the last generation of CUDA compatible architectures, has been compared and the image quality in each platform has been analyzed, showing a higher level of noise in GPU, due to race condition problems.

Fundamentals of Computerized Tomography: Image Reconstruction from Projections

  • G. Herman
  • Mathematics
    Advances in Pattern Recognition
  • 2009
This revised and updated text presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography and presents a comparative evaluation of reconstruction methods.

COMPARISON OF SINGLE AND DOUBLE FLOATING POINT PRECISION PERFORMANCE FOR TESLA ARCHITECTURE GPUs

The paper compares the single and double floating point precision performance of NVIDIA Tesla GPUs for matrix multiplication, incompressible Navier-Stokes equations and the steady state heat conduction problem.

Monochromatic CT Image Reconstruction from Current-Integrating Data via Deep Learning

In clinical CT, the x-ray source emits polychromatic x-rays, which are detected in the current-integrating mode. This physical process is accurately described by an energy-dependent non-linear

Principles of Computerized Tomographic Imaging

The total attenuation suffered by one beam of x-rays as it travels in a straight line through an object can be represented by a line integral. Combining a set of line integrals forms a projection.

Comparison of Different Methods of Abel Inversion Using Computer Simulated and Experimental Side-On Data

Abstract A recently devised new method for numerical Abel inversion is compared with four other commonly used methods. One of them, the convolution method, is employed in computer tomography for

Analytical image reconstruction methods in emission tomography

Data collected in two-dimensional projections give planar images of object at each projection angle. To obtain information along the depth of the object, tomographic images are reconstructed using

The cone-beam algorithm of Feldkamp, Davis, and Kress preserves oblique line integrals.

A generalized result is obtained by showing that the FDK algorithm is invariant under transformations that map oblique lines onto axial lines, thus providing an efficient method to compute synthetic radiographs from cone-beam projections.

Image quality assessment: from error visibility to structural similarity

A structural similarity index is developed and its promise is demonstrated through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000.

Computed tomography : fundamentals, system technology, image quality, applications

System concepts System components Image reconstruction Spiral CT Multi-slice spiral CT Cone-beam CT Dynamic CT Quantitative CT Dual source CT Dual energy CT Flat detector CT Micro CT Image quality