Theoretical framework for analyzing MR imaging of dynamic objects using filters and downsamplers

Harsh K. Agarwal, Jerry L. Prince

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Reconstruction methods for MR imaging of dynamic objects have traditionally been analyzed using the projection slice theorem. In this paper, we present a new theoretical framework for analyzing MR imaging of dynamic objects. Our framework reinterprets the object stationarity assumption in the MR reconstruction techniques as a combination of filtering and downsampling operations performed on the acquired k-space data. We have analyzed our results in x-f (spatial coordinate - temporal frequency) space using a time-sequential analysis. While the projection slice theorem has only be used to analyze the Cartesian sampling pattern, the new framework can analyze any arbitrary sampling pattern with a given reconstruction algorithm. Further, the new theoretical framework can be used to analyze the effect of relaxing the object stationarity assumption over the reconstructed MR images. We have demonstrated the use of our framework by analyzing two popular image reconstruction techniques, namely view-sharing and UNFOLD. In the analysis of view-sharing, we have confirmed the fact that interleaved and bit reversed k-space sampling patterns provide better artifact suppression for dynamic MR imaging. We propose using a different filter to further reduce artifacts in the reconstructed images. In the case of UNFOLD, we have analyzed the effect of relaxing the object stationarity assumption and have shown that it leads to an increase in motion artifacts.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
StatePublished - 2006
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: Feb 13 2006Feb 16 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 I
ISSN (Print)1605-7422


OtherMedical Imaging 2006: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA


  • Image quality
  • Image reconstruction
  • Image restoration
  • Magnetic Resonance Imaging
  • Projection slice theorem
  • View-sharing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging


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