Three-dimensional support function estimation and application for projection magnetic resonance imaging

Jens Gregor, Fernando R. Rannou

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Magnetic resonance imaging (MRI) of nuclei that have very short relaxation times is conveniently based on spherical sampling. We have presented a least squares framework for reconstructing three-dimensional (3D) source distribution images from such data. In this paper, we describe a practical algorithm for 3D support function estimation, which forms the basis for a method called focus of attention. By essentially identifying and eliminating equations and unknowns that merely represent background data, this data-driven preprocessing scheme effectively reduces the computational burden associated with our algebraic approach to projection MRI.

Original languageEnglish (US)
Pages (from-to)43-50
Number of pages8
JournalInternational Journal of Imaging Systems and Technology
Volume12
Issue number1
DOIs
StatePublished - Feb 26 2002
Externally publishedYes

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Magnetic resonance
Magnetic resonance imaging
Imaging techniques
Relaxation time
Sampling

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Software
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Three-dimensional support function estimation and application for projection magnetic resonance imaging. / Gregor, Jens; Rannou, Fernando R.

In: International Journal of Imaging Systems and Technology, Vol. 12, No. 1, 26.02.2002, p. 43-50.

Research output: Contribution to journalArticle

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