Spatiotemporal imaging with partially separable functions

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

Abstract

Spatiotemporal imaging has a wide range ofapplications from functional neuroimaging, cardiac imaging to metabolic cancer imaging. A long-standing practical problem lies in obtaining high spatiotemporal resolution because the amount of data required increases exponentially as the physical dimension increases. This paper describes a new way for spatiotemporal imaging using partially separable functions. This model admits highly sparse sampling of the data space, providing a novel, effective way to achieve high spatiotemporal resolution. Practical imaging data will also be presented to demonstrate the performance of the new method.

Original languageEnglish (US)
Title of host publicationProc. of 2007 Joint Meet. of the 6th Int. Symp. on Noninvasive Functional Source Imaging of the Brain and Heart and the Int. Conf. on Functional Biomedical Imaging, NFSI and ICFBI 2007
Pages181-182
Number of pages2
DOIs
StatePublished - Dec 1 2007
Event2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, NFSI and ICFBI 2007 - Hangzhou, China
Duration: Oct 12 2007Oct 14 2007

Publication series

NameProc. of 2007 Joint Meet. of the 6th Int. Symp. on Noninvasive Functional Source Imaging of the Brain and Heart and the Int. Conf. on Functional Biomedical Imaging, NFSI and ICFBI 2007

Other

Other2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging, NFSI and ICFBI 2007
CountryChina
CityHangzhou
Period10/12/0710/14/07

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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