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Reconstruction of Medical Images Using Kalman Filter

Golyaei, Shayan | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 41617 (55)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Manzuri Shalmani, Mohammad Taghi; Ghorshi, Mohammad Ali
  7. Abstract:
  8. Medical images contain information about vital organic tissues inside of the human body and are widely used for diagnoses of diseases or for surgical purposes. Image Reconstruction is essential for medical imaging for medical systems like suppression of noise or de-blurring from projections in order to have images with better quality and contrast. Due to the vital role of image reconstruction in medical sciences the corresponding algorithms with better efficiency and higher speed is preferable. Most algorithms in the field of image reconstruction are operated in frequency domain such as the filtered back projection which is a popular algorithm for the reconstruction of the medical images. In this thesis we introduce a new algorithm for image reconstruction which is operated in time domain with the use of recursive optimal filter known as Kalman filter. The proposed technique uses X-ray scan geometry in order to collect the projection data which is called ray sum. The data are used to build a new model known as linear observation model in addition to extra noise that comes from the sensors. Finally, the proposed reconstruction method is applied to more than fifty images, and the performance is measured based on the noise reduction ability of the algorithm
  9. Keywords:
  10. Medical Images ; Noise ; Reconstruction ; Kalman Filters ; Tomography ; Bluring Effect

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