Spatial variation of SNR in 2D and 3D neuro PET

Author

Li, Henry H. ; Votaw, John R.

Author_Institution

Dept. of Phys., Emory Univ., Atlanta, GA, USA

Volume

2

fYear

1995

fDate

21-28 Oct 1995

Firstpage

1079

Abstract

A method for region of interest (ROI) evaluation for three dimensional positron emission tomography (PET) in the sinogram space is implemented, according to the fully 3D filtered back-projection algorithm. With this method, the statistical error in the image that propagates from the Poisson noise in the raw data can be computed. The signal to noise ratio (SNR) for ROI´s at various locations inside a cylindrical phantom is computed from both scanner data and simulation data, and is verified via the standard deviation method through multiple measurements. As a comparison, 2D scans are also collected and similar computations carried out. Results show that the SNR increases with radius due to decreased attenuation at the edge of the phantom. For 3D scans, the SNR drops gradually for ROI´s outside the central 8 cm segment of field of view (FOV) of the scanner. Also, the random events in the scans must be recorded and considered in the error computation

Keywords

brain; medical image processing; positron emission tomography; 2D neuro PET; 3D neuro PET; Poisson noise; SNR spatial variation; cylindrical phantom; error computation; medical diagnostic imaging; multiple measurements; nuclear medicine; phantom edge attenuation; random events; raw data; region of interest evaluation method; scanner data; signal to noise ratio; simulation data; sinogram space; Attenuation; Computational modeling; Data mining; Filtering; Image reconstruction; Imaging phantoms; Measurement standards; Positron emission tomography; Radiology; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-3180-X

Type

conf

DOI

10.1109/NSSMIC.1995.510451

Filename

510451