Derivation of scatter kernel in CBCT imaging system

Heng Li, Radhe Mohan, X. Ronald Zhu

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

1 Scopus citations

Abstract

An edge spread function method has been developed to determine the scatter kernel in kilo-voltage (kV) cone beam computed tomographic (CBCT) imaging system. We modeled the scatter as a depth dependent convolution kernel, and the kernel was derived for different object thickness up to 41cm from measured data without assuming any empirical trial function for a Varian Trilogy CBCT system. The derived kernel can then be used for correcting the projection data, or incorporated in the reconstruction process.

Original languageEnglish (US)
Title of host publicationConference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages1851-1854
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
Event40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States
Duration: Oct 29 2006Nov 1 2006

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Conference

Conference40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
Country/TerritoryUnited States
CityPacific Grove, CA
Period10/29/0611/1/06

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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