Radial Basis Functions based algorithm for feature extraction from 3D raw Positron Emission Tomography(PET) data

Amar Raheja, Atam P. Dhawan, Peter P. Antich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A Radial Basis Functions based algorithm was developed for feature extraction from Positron Emission Tomography (PET) data. The algorithms extracts data contributing to the region of interest (ROI) before image reconstruction and processing is performed. The algorithm can also be used as a data filter that reduces the time for the image reconstruction process since fewer counts are reconstructed. The performance of the algorithms was analyzed in terms of the percentage classification errors.

Original languageEnglish (US)
Title of host publicationProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 2
EditorsP.P. Wang, P.P. Wang
Pages354-357
Number of pages4
Edition2
StatePublished - 2000
Externally publishedYes
EventProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000 - Atlantic City, NJ, United States
Duration: Feb 27 2000Mar 3 2000

Publication series

NameProceedings of the Joint Conference on Information Sciences
Number2
Volume5

Other

OtherProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000
CountryUnited States
CityAtlantic City, NJ
Period2/27/003/3/00

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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