Share Email Print

Proceedings Paper

Holospectral imaging: a multidimensional energy space representation of nuclear medicine information
Author(s): Daniel Gagnon; Arnold Arsenault; J. Gregoire; G. Dupras; Andrew Todd-Pokropek
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Holospectral Imaging (HI), unlike the conventional technique, acquires data over a wide energy range. The new data is then used to form a series of frames corresponding to the object's spatial distribution at different energies. The multidimensional information is examined using the principal component analysis in order to characterize the different energy-dependent processes, namely: the primary photon information, the Compton scattering, the camera distorsions and the quantum noise. Each one of these factors has a typical location in the energy space RN (N is the number of energy frames). The primary photon is the main source of variance and has the most important contribution to the "principal" axis. In theory, without interference from other processes, the primaiy photon distribution defines a straight line in RN. Quantum noise will be distributed "around" this principal axis. However, scattering and camera distorsions will tend to pull the distribution toward a definite direction in the energy space. HI then finds, for each set of data, a transformation optimizing the "principal" information, the quality of this information being limited by the level of the statistical noise. Resulting images show an improvement in contrast to noise ratio and in quantitative analysis. We conclude that HI is a useful tool to describe the different contributions of scatter, camera non-uniformity and quantum noise to image variance. Therefore, energy variable should be included in the generalized transfer function of future nuclear medicine imaging systems.

Paper Details

Date Published: 27 December 1990
PDF: 9 pages
Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); doi: 10.1117/12.23435
Show Author Affiliations
Daniel Gagnon, Montreal Heart Institute (Canada)
Arnold Arsenault, Montreal Heart Institute (Canada)
J. Gregoire, Montreal Heart Institute (Canada)
G. Dupras, Montreal Heart Institute (Canada)
Andrew Todd-Pokropek, Univ. College London (United Kingdom)

Published in SPIE Proceedings Vol. 1347:
Optical Information Processing Systems and Architectures II
Bahram Javidi, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?