By Topic

Sensor fusion in image reconstruction

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)

A Bayesian method for ECT (emission computed tomography) image reconstruction has been developed to incorporate a priori information derived from the spatially correlated CT and MR (magnetic resonance) images. These anatomic maps, showing boundaries between regions that exhibit distinctly different characteristics, can be incorporated into the Bayesian method, thus improving the spatial resolution and noise properties. The correlated structural information can also be used as templates for deriving correcting factors for the effect of photon attenuation, thus improving the quantitative accuracy and noise properties. This novel image reconstruction method using the concept of sensor fusion has been validated by computer simulation studies. Results from these studies indicate that significant improvements in image quality can be achieved

Published in:

Nuclear Science, IEEE Transactions on  (Volume:38 ,  Issue: 2 )