Analysis of individual positron emission tomography activation maps by high signal to noise ratio pixel clusters (HSC) detection

Author

Poline, Jean-Baptiste ; Mazoyer, Bernard

Author_Institution

Hopital Robert Debre, Paris, France

fYear

1992

fDate

25-31 Oct 1992

Firstpage

1259

Abstract

The authors present a new method for the analysis of individual brain PET (positron emission tomography) activation maps that looks for activated areas of a certain size rather than pixels with maximum values. High signal to noise ratio pixels clusters (HSC) are identified, and their sizes are statistically tested with respect to a Monte Carlo derived distribution of cluster sizes in pure noise images. The sensitivity and the specificity of this method have been assessed using realistic Monte Carlo simulations of brain activation maps. Compared to the gamma-2 statistic of the local maxima distribution, the proposed method showed enhanced sensitivity

Keywords

brain; computerised tomography; medical image processing; radioisotope scanning and imaging; Monte Carlo derived distribution; brain PET; gamma-2 statistic; high signal to noise ratio pixel clusters; local maxima distribution; medical diagnostic imaging; method sensitivity; method specificity; nuclear medicine; positron emission tomography activation maps; pure noise images; Anatomy; Brain modeling; Error correction; Performance analysis; Pixel; Positron emission tomography; Protocols; Signal analysis; Signal to noise ratio; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference, 1992., Conference Record of the 1992 IEEE

Conference_Location

Orlando, FL

Print_ISBN

0-7803-0884-0

Type

conf

DOI

10.1109/NSSMIC.1992.301499

Filename

301499