Reconstruction algorithm for fluorescence tomography using a reduced space of eigenvectors and optimized source permissible region

Mohamed A. Naser, Michael S. Patterson

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

Abstract

A 3D fluorescence tomography algorithm has been developed. The ill-posedness of the problem has been reduced using a reduced space of eigenvectors and shrinking the permissible source region to find a unique solution.

Original languageEnglish (US)
Title of host publicationBiomedical Optics, BIOMED 2012
PublisherOptical Society of America (OSA)
PagesBTu3A.2
ISBN (Print)9781557529428
DOIs
StatePublished - 2012
Externally publishedYes
EventBiomedical Optics, BIOMED 2012 - Miami, FL, United States
Duration: Apr 28 2012May 2 2012

Publication series

NameBiomedical Optics, BIOMED 2012

Other

OtherBiomedical Optics, BIOMED 2012
Country/TerritoryUnited States
CityMiami, FL
Period4/28/125/2/12

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

Fingerprint

Dive into the research topics of 'Reconstruction algorithm for fluorescence tomography using a reduced space of eigenvectors and optimized source permissible region'. Together they form a unique fingerprint.

Cite this