Abstract

Many imaging applications require the acquisition of a time series of images. In conventional Fourier transform-based imaging methods, each of these images is acquired independently. As a result, the temporal resolution possible is limited by the number of data points collected for each data set, or one often was to sacrifice spatial resolution for temporal resolution. To overcome this problem, several "data-sharing" methods have been proposed which acquire one or more high-resolution reference images and a sequence of reduced dynamic data sets. This paper is devoted to the discussion of a generalized series-based dynamic imaging method, which is an optimal implementation of the data-sharing principle. Several application examples are also presented to illustrate its effectiveness for high-resolution dynamic imaging.

Original languageEnglish (US)
Title of host publicationProceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-151
Number of pages7
ISBN (Electronic)0769511139, 9780769511139
DOIs
StatePublished - Jan 1 2001
EventInternational Workshop on Medical Imaging and Augmented Reality, MIAR 2001 - Shatin, N.T., Hong Kong
Duration: Jun 10 2001Jun 12 2001

Publication series

NameProceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001

Other

OtherInternational Workshop on Medical Imaging and Augmented Reality, MIAR 2001
CountryHong Kong
CityShatin, N.T.
Period6/10/016/12/01

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ASJC Scopus subject areas

  • Signal Processing
  • Radiology Nuclear Medicine and imaging

Cite this

Liang, Z-P. (2001). Generalized series dynamic imaging. In Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001 (pp. 145-151). [930277] (Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MIAR.2001.930277