Rapid propeller-MRI: A combination of iterative reconstruction and under-sampling

Ashish A. Tamhane, Konstantinos Arfanakis, Mark Anastasio, Xiaodong Guo, Michael Vannier, Jia Hong Gao

Research output: Contribution to journalArticlepeer-review


Purpose: To develop a technique that is able to reduce acquisition time and remove uneven blurring in reconstructed image for PROPELLER MRI. By using under-sampling and iterative reconstruction, this proposed technique will be less sensitive to subject motion. Materials and Methods: Numerical simulations, as well as experiments on a phantom and healthy human subjects were performed to demonstrate advantages of a combination of under-sampled acquisition and iterative reconstruction. Method of motion correction was modified to increase accuracy of motion correction for the under-sampled PROPELLER acquisition. Results: It was demonstrated that the proposed approach achieved substantial acceleration of PROPELLER acquisition while maintaining its motion correction advantage. Conclusion: An effective method for reducing imaging time in PROPELLER was introduced in this study, which minimizes typical under-sampling artifacts without uneven spatial resolution and maintains the ability of motion correction.

Original languageEnglish (US)
Pages (from-to)1241-1247
Number of pages7
JournalJournal of Magnetic Resonance Imaging
Issue number5
StatePublished - Nov 1 2012
Externally publishedYes


  • iterative reconstruction
  • under-sampling

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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