Comparison of second directional derivative boundary detection methods for SPECT

Author

Pan, Tin-Su ; Gennert, Michael A. ; Gauch, John M. ; King, Michael A.

Author_Institution

Dept. of Nucl. Med., Massachusetts Univ. Med. Center, MA, USA

fYear

1992

fDate

25-31 Oct 1992

Firstpage

1080

Abstract

The authors investigate three methods of calculating the derivative of an image for the second directional derivative (SDD) operator, which has been shown by M.A. Gennert et al. (1991) to provide improved accuracy of volume quantitation. The three methods are Zucker-Hummel finite-impulse-response (ZH-FIR) filtering, Monga-Deriche finite-impulse-response (MD-IIR) filtering, and the Gaussian-derivative Fourier transform (GD-FT) method. The three methods resulted in very similar volumes when applied to the simulated images of a set of spherical sources. It is also found that, by using an interpolative background subtraction technique, the quantitation accuracy of the low-contrast spheres can be significantly improved

Keywords

computerised tomography; medical image processing; radioisotope scanning and imaging; Gaussian derivative Fourier transform method; Monga-Deriche finite impulse response filtering; Zucker-Hummel finite impulse response filtering; image; interpolative background subtraction technique; low-contrast spheres; quantitation accuracy; second directional derivative boundary detection methods; simulated images; single photon emission computed tomography; spherical sources; volume quantitation; Biomedical imaging; Cancer; Computer science; Educational institutions; Filtering; Fourier transforms; Gaussian processes; Kernel; Nuclear medicine; Subtraction techniques;

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.1992.301076

Filename

301076