Inherently self-calibrating non-Cartesian parallel imaging

Ernest N. Yeh, Matthias Stuber, Charles A. McKenzie, Rene M. Botnar, Tim Leiner, Michael A. Ohliger, Aaron K. Grant, Jacob D. Willig-Onwuachi, Daniel K. Sodickson

Research output: Contribution to journalArticlepeer-review


The use of self-calibrating techniques in parallel magnetic resonance imaging eliminates the need for coil sensitivity calibration scans and avoids potential mismatches between calibration scans and subsequent accelerated acquisitions (e.g., as a result of patient motion). Most examples of self-calibrating Cartesian parallel imaging techniques have required the use of modified k-space trajectories that are densely sampled at the center and more sparsely sampled in the periphery. However, spiral and radial trajectories offer inherent self-calibrating characteristics because of their densely sampled center. At no additional cost in acquisition time and with no modification in scanning protocols, in vivo coil sensitivity maps may be extracted from the densely sampled central region of k-space. This work demonstrates the feasibility of self-calibrated spiral and radial parallel imaging using a previously described iterative non-Cartesian sensitivity encoding algorithm.

Original languageEnglish (US)
Pages (from-to)1-8
Number of pages8
JournalMagnetic resonance in medicine
Issue number1
StatePublished - Jul 2005


  • Coil arrays
  • Non-Cartesian imaging
  • Parallel MRI
  • Rapid imaging
  • Self-calibration

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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