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Tomographical medical image reconstruction using Kalman filter technique

Goliaei, S ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1109/ISPAW.2011.21
  3. Publisher: 2011
  4. Abstract:
  5. In this paper, a Kalman filter technique which is operated in time is introduced for noise reduction on CT set of projections to reconstruct medical images. The experiments were done on medical image of kidneys and the simulated projections are captured by CT scanner. Evaluation results indicated that as the number of projections increase in the collected ray sums corrupted by noise the quality of reconstructed image becomes better in terms of contrast and transparency. However, for the comparison issue, the same conditions are applied for reconstruction of medical image in frequency domain using filter back projection technique. It observes that filter back projection technique does not produce satisfactory results with existence of noise in projections
  6. Keywords:
  7. Noise ; CT scan ; CT scanners ; Evaluation results ; Filter back projection ; Frequency domains ; Kalman filter technique ; Medical image reconstruction ; Reconstructed image ; Distributed parameter networks ; Image reconstruction ; Kalman filters ; Medical imaging ; Computerized tomography
  8. Source: Proceedings - 9th IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops, ISPAW 2011 - ICASE 2011, SGH 2011, GSDP 2011, 26 May 2011 through 28 May 2011 ; May , 2011 , Pages 61-65 ; 9780769544298 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5951951