Quasi Monte Carlo-based isotropic distribution of gradient directions for improved reconstruction quality of 3D EPR imaging

Rizwan Ahmad, Yuanmu Deng, Deepti S. Vikram, Bradley Clymer, Parthasarathy Srinivasan, Jay L. Zweier, Periannan Kuppusamy

Research output: Contribution to journalArticle

Abstract

In continuous wave (CW) electron paramagnetic resonance imaging (EPRI), high quality of reconstructed image along with fast and reliable data acquisition is highly desirable for many biological applications. An accurate representation of uniform distribution of projection data is necessary to ensure high reconstruction quality. The current techniques for data acquisition suffer from nonuniformities or local anisotropies in the distribution of projection data and present a poor approximation of a true uniform and isotropic distribution. In this work, we have implemented a technique based on Quasi-Monte Carlo method to acquire projections with more uniform and isotropic distribution of data over a 3D acquisition space. The proposed technique exhibits improvements in the reconstruction quality in terms of both mean-square-error and visual judgment. The effectiveness of the suggested technique is demonstrated using computer simulations and 3D EPRI experiments. The technique is robust and exhibits consistent performance for different object configurations and orientations.

Original languageEnglish (US)
Pages (from-to)236-245
Number of pages10
JournalJournal of Magnetic Resonance
Volume184
Issue number2
DOIs
StatePublished - Feb 2007
Externally publishedYes

Keywords

  • Artifacts
  • EPRI
  • Projection acquisition
  • Reconstruction

ASJC Scopus subject areas

  • Molecular Biology
  • Physical and Theoretical Chemistry
  • Spectroscopy
  • Radiology Nuclear Medicine and imaging
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Quasi Monte Carlo-based isotropic distribution of gradient directions for improved reconstruction quality of 3D EPR imaging'. Together they form a unique fingerprint.

  • Cite this