Improving signal-to-noise ratio in FDG parametric images by cluster analysis

Author

Kimura, Yuichi ; Senda, Michio ; Alpert, Nathaniel M.

Author_Institution

Position Med. Center, Tokyo Metropolitan Inst. of Gerontology, Japan

Volume

3

fYear

1999

fDate

1999

Firstpage

1269

Abstract

The problems associated with forming parametric images from a positron emission tomography (PET) kinetic study are large noise levels in the voxel-based tissue time-activity curve (tTAC), and huge calculation times. A clustering based kinetics method is proposed for addressing these problems. In this method, voxels with the same shape are gathered and averaged before parameter estimation. Compared with an ordinal regions of interest (ROI) based non-linear parameter estimation method, parametric images with almost the same statistical reliability are obtained. In addition, the calculation time is very short (two minutes)

Keywords

image recognition; medical image processing; parameter estimation; positron emission tomography; 2 min; PET kinetic study; calculation time; clustering based kinetics method; medical diagnostic imaging; nonlinear parameter estimation method; nuclear medicine; ordinal regions of interest; signal-to-noise ratio improvement; statistical reliability; voxel-based tissue time-activity curve; Image analysis; Kinetic theory; Noise generators; Noise level; Parameter estimation; Positron emission tomography; Principal component analysis; Shape; Signal analysis; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium, 1999. Conference Record. 1999 IEEE

Conference_Location

Seattle, WA

ISSN

1082-3654

Print_ISBN

0-7803-5696-9

Type

conf

DOI

10.1109/NSSMIC.1999.842788

Filename

842788