1. Intelligent processes, such as: pattern recognition, image reconstruction, learning, reasoning by deduction, expert problem solving.

2. Research of fast image reconstruction methods based on GPU.

3. The image reconstruction problem of linear attenuation coefficients is very difficult and central in transmission TGS.

4. Image reconstruction is a superior function of multi - slice spiral CT.

5. A new algorithm of super - resolution image reconstruction based on bilateral filter is proposed in the paper.

6. In this paper, a modified Tikhonov regularization CT image reconstruction algorithm from limited - angle was proposed.

7. Because of the limitation of image reconstruction theory, the spatial resolution and random dispersion of CT value determine the minium measuring size of Industrial Computed Tomography(ICT).

8. The image reconstruction of industrial X - CT belongs to image reconstruction with narrow fan - beam scan mode.

9. In this project, we design the image reconstruction software in PICT.

10. The algorithm for image reconstruction is one of the key techniques forcomputerized tomography ( CT ).

11. Image reconstruction is a very time consuming process , which is the bottleneck of real - timeimaging of 3 D CT.

12. The fast accurate image reconstruction algorithm is very important for flow imaging logging.

13. The method includes performing a tomographic image reconstruction using a joint estimation of at least one of a gain parameter and an offset parameter, and an estimation of the reconstructed image.

14. The geometric error of axial image reconstruction increases with the increase of CT scan slice thickness, due to CT partial volume effect.

15. The paper mainly introduces how to use Filtered Back - Projection Algorithm in CBS Image Reconstruction.

16. And it provides powerful supports for procession, such as object identification, image reconstruction and so on.

17. Methods 20 cases with maxillofacial fracture underwent examination with SCT, on the location topogram settled the scan extent, transfered the data to workstation to go multiple image reconstruction.

18. A brief introduction of photoacoustic imaging mechanism, imaging systems and image reconstruction algorithm is given.

19. The key parts of the system the sensor the circuit and the image reconstruction algorithm.

20. A new minimum cost network flow algorithm is described for the image reconstruction from their two orthogonal 1-D projections.

21. Based on the analysis of basic principle of electrical capacitance tomography and the image reconstruction algorithm(), a conjugate gradient algorithm with optimized regularization is proposed.

22. The whole process of ICT is discussed from pretreat to image reconstruction.

23. There " re two main method in 3 D image reconstruction, one is surface rendering volume rendering . "

24. Experiments were based on bionic compound eye images. And the results demonstrated that the suggested method requires less time in image reconstruction.

25. To solve the ill-posed problem in electrical capacitance tomography(ECT), a new image reconstruction algorithm based on total variation(TV) regularization is proposed.

26. The authors studied the feedback neural network applied to image reconstruction from a few projections.

27. This paper a Preconditioned Conjugate Gradient ( PCG ) method from a view of probability for concrete image reconstruction.

28. The third chapter discusses the details of PICT system we built and the realization of PICT image reconstruction.

29. The choice of the projection model is an important factor emission computed tomography ( SPECT ) image reconstruction.

30. The algorithm also provides a reliability measure of the estimated result, which was introduced into the super-resolution image reconstruction to overcome the influence of the estimation error.

31. For the sake of the image reconstruction efficiency we shortened the reconstruction time almost 100 times by parameter table method.

32. In this paper, the importance of image reconstruction using Optical CTfrom a few projections in orthographic limited view angle is presented.

33. MTF can be deduced by PSF and the filter used in image reconstruction can be made thereby, so the accuracy of PSF directly affects the performance of reconstructed image.

34. Two-sided filter reduced the noise information, distance transformation and image reconstruction extracted local maximum of the image, that is, the extraction of seed points.