Resampling estimates of precision in emission tomography

Author

Haynor, David R. ; Woods, Steven D.

Author_Institution

Dept. of Radiol., Washington Univ., Seattle, WA, USA

Volume

8

Issue

4

fYear

1989

fDate

12/1/1989 12:00:00 AM

Firstpage

337

Lastpage

343

Abstract

Methods for estimating the regional variance in emission tomography images which arise from the Poisson nature of the raw data are discussed. The methods are based on the bootstrap and jackknife methods of statistical resampling theory. The bootstrap is implemented in time-of-flight PET (positron emission tomography); the same techniques can be applied to non-time-of-flight PET and SPECT (single-photon-emission computed tomography). The estimates are validated by comparing them to those obtained by repetition of emission scans, using data from a time-of-flight positron emission tomograph. Simple expressions for the accuracy of the estimates are given. The present approach is computationally feasible and can be applied to any reconstruction technique as long as the data are acquired in a raw, uncorrected form

Keywords

computerised tomography; radioisotope scanning and imaging; CT; bootstrap method; emission tomography precision; jackknife method; nuclear medicine; regional variance estimation method; resampling estimates; single-photon-emission computed tomography; statistical resampling theory; time-of-flight positron emission tomograph; Attenuation; Detectors; Image analysis; Image sampling; Isotopes; Member and Geographic Activities; Pixel; Positron emission tomography; Radioactive decay; Reconstruction algorithms;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.41486

Filename

41486