Reference-driven MR image reconstruction with sparsity and support constraints

Xi Peng, Hui Qian Du, Fan Lam, S. Derin Babacan, Zhi Pei Liang

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

Abstract

The problem of reconstructing an MR image from limited (and sparsely sampled) k-space data in the presence of a reference image occurs in various applications, including interventional imaging and dynamic contrast-enhanced imaging. This paper addresses the problem using a dictionary composed of three types of basis functions: reference-weighted harmonic functions, wavelets, and pixel/voxel indicator functions. These bases are efficient for representing different image features such as global and local contrast changes from the reference to the target image as well as localized novel image features. The proposed image model and the associated reconstruction algorithm are described. Simulation results are also included to illustrate the improved performance of the proposed method over conventional compressed sensing type reconstruction methods.

Original languageEnglish (US)
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages89-92
Number of pages4
DOIs
StatePublished - Nov 2 2011
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
CountryUnited States
CityChicago, IL
Period3/30/114/2/11

Keywords

  • Magnetic Resonance Imaging
  • Reference
  • Sparsity
  • Support Constraints

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Peng, X., Du, H. Q., Lam, F., Babacan, S. D., & Liang, Z. P. (2011). Reference-driven MR image reconstruction with sparsity and support constraints. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 (pp. 89-92). [5872361] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2011.5872361