Automated on-the-fly detection and correction procedure for EPR imaging data acquisition

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

Research output: Contribution to journalArticlepeer-review


Fast and reliable data acquisition is a major requirement for successful and useful biological electron paramagnetic resonance imaging (EPRl) experiments. Even a technologically advanced and professionally supervised EPRI system can exhibit instabilities initiated by perturbations such as animal motion, microphonics, and temperature changes. As a result, part of an acquired data set may become corrupted with excessive noise and distortions, which in turn may degrade the quality of the reconstructed image. In this work an automated scheme to monitor the system performance and stability over the course of an experiment is demonstrated. This method ensures that the quality of the acquired data is maintained during the experiment. For this purpose, four parameters including noise cont ent and integration of each acquired projection are quantified and measured against those of the zero-gradient (ZG) projection, which is set as a quality benchmark. Projections with parameter values that differ substantially from the expected values are identified as damaged and consequently are reacquired. Therefore, the proposed technique not only effectively monitors the quality of acquisition, it also saves a substantial amount of acquisition time because it eliminates the necessity of repeating the entire experiment in cases in which only a small fraction of the data are corrupted.

Original languageEnglish (US)
Pages (from-to)644-653
Number of pages10
JournalMagnetic Resonance in Medicine
Issue number3
StatePublished - Sep 2006
Externally publishedYes


  • Microphonics
  • Motion artifacts
  • Noise
  • System stability

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology


Dive into the research topics of 'Automated on-the-fly detection and correction procedure for EPR imaging data acquisition'. Together they form a unique fingerprint.

Cite this