Loading...

Reconstruction of tomographic medical images using Kalman filter approach

Goliaei, S ; Sharif University of Technology | 2011

532 Viewed
  1. Type of Document: Article
  2. Publisher: 2011
  3. Abstract:
  4. Medical images contain information about vital organic tissues inside of human body and are widely used for diagnoses of disease or for surgical purposes. Image reconstruction is essential for medical images for some applications such as suppression of noise or de-blurring the image to provide images with better quality and contrast. In this paper Kalman filter technique is introduced for medical image reconstruction. This technique is operated in time domain unlike the filtered back projection which operates in frequency domain. Results indicated that as the number of projection increases in both the collected ray sum corrupted by noise and by blurring the quality of reconstructed image becomes better in terms of contrast and transparency. It is also seen that as the signal to noise ratio decreases the speed of convergence of error index becomes slower
  5. Keywords:
  6. Blurring ; Deblurring ; Error index ; Filter approach ; Filtered back projection ; Frequency domains ; Human bodies ; Kalman filter technique ; Medical image reconstruction ; Medical images ; Noise ; Organic tissues ; Reconstructed image ; Signal-to-noise ratio decrease ; Speed of convergence ; Suppression of noise ; Time domain ; Tomographic ; Computer vision ; Diagnosis ; Image reconstruction ; Kalman filters ; Tissue ; Time domain analysis
  7. Source: Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011, 18 July 2011 through 21 July 2011 ; Volume 1 , July , 2011 , Pages 236-240 ; 9781601321916 (ISBN)