A 3D image smoothing method for dynamic functional imaging

  • Authors:

  • Weidong Cai;Dagan Feng;Roger Fulton

  • Affiliations:

  • The University of Sydney, Australia and The Hong Kong Polytechnic University;The University of Sydney, Australia and The Hong Kong Polytechnic University;The University of Sydney, Australia and Royal Prince Alfred Hospital, Sydney, Australia

  • Venue:
  • VIP '00 Selected papers from the Pan-Sydney workshop on Visualisation - Volume 2
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

Dynamic functional imaging has been limited by the finite spatial resolution and high noise. Various smoothing methods have been proposed to reduce noise from functional image. However, these smoothing methods are usually based on the spatial domain and local statistical properties. Smoothing algorithms specifically designed for dynamic functional image data have not previously been investigated in detail. We present a new 3D smoothing method that aim to diminish the noise and improve the quality of the dynamic images. By taking advantage of domain specific physiological 3D kinetic feature related to functional images and their physiological activity information in time domain, this technique can provide much smoothed dynamic functional images with high noise reduction while preserving edges and subtle details.