By Topic

Hemispherical spatial sampling study and 3D image reconstruction using iterative algorithms for a Compton SPECT camera model

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

4 Author(s)
Sauve, A.C. ; Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA ; Hero, A.O. ; Rogers, W.L. ; Clinthorne, N.H.

In this paper we will present numerical studies of the performance of a 3D Compton camera being developed at the University of Michigan. We present a physical model of the camera which exploits symmetries by using an adapted spatial sampling pattern in the object domain. This model increases the sparsity of the transition matrix to reduce the very high storage and computation requirements. This model also allows the decomposition of the transition matrix into several small blocks that are easy to store. We also present the transition matrix of our system analytically computed with a real time algorithm. We geometrically optimize our hemispherical sampling and develop a 3D volumetric interpolation. Finally, we present a 3D image reconstruction method which uses the Gauss-Seidel algorithm to minimize a penalized least square objective

Published in:

Nuclear Science Symposium, 1998. Conference Record. 1998 IEEE  (Volume:2 )

Date of Conference:

1998