Compressive sensing imaging with randomized lattice sampling

Applications to fast 3D MRI

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

Abstract

Fast MRI makes it possible to visualize dynamic biological phenomena and can potentially reduce the cost of diagnostic imaging. Constrained imaging methods such as compressive sense (CS) and optimal lattice sampling (OLS) have proven to be effective for speeding up MRI. In doing so, CS takes advantage of the image sparsity or compressibility and OLS utilizes the known signal/spectrum support. Interestingly, while CS requires sampling to be randomized to obtain incoherent artifacts which is critical for reconstruction, OLS mandates sampling to be on a structured lattice. In this paper, we proposed a method to integrate CS with OLS so that both the sparsity and support constraints can be used simultaneously. The method randomizes the sampling on the lattice and minimizes a convex cost function with sparsity constraint and data fidelity terms. Computer simulations in 3D MRI show that the proposed method allows greater accelerations with minimal degradation of the image quality.

Original languageEnglish
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages3736-3739
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: 30 Aug 20113 Sep 2011

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period30/8/113/9/11

Fingerprint

Magnetic resonance imaging
Sampling
Imaging techniques
Biological Phenomena
Costs and Cost Analysis
Diagnostic Imaging
Computer Simulation
Artifacts
Compressibility
Cost functions
Image quality
Degradation
Computer simulation
Costs

Keywords

  • compressive sensing
  • fast imaging
  • image reconstruction
  • lattice sampling
  • MRI

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Ji, J. (2011). Compressive sensing imaging with randomized lattice sampling: Applications to fast 3D MRI. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 3736-3739). [6090636] https://doi.org/10.1109/IEMBS.2011.6090636

Compressive sensing imaging with randomized lattice sampling : Applications to fast 3D MRI. / Ji, Jim.

33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 3736-3739 6090636.

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

Ji, J 2011, Compressive sensing imaging with randomized lattice sampling: Applications to fast 3D MRI. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6090636, pp. 3736-3739, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 30/8/11. https://doi.org/10.1109/IEMBS.2011.6090636
Ji J. Compressive sensing imaging with randomized lattice sampling: Applications to fast 3D MRI. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 3736-3739. 6090636 https://doi.org/10.1109/IEMBS.2011.6090636
Ji, Jim. / Compressive sensing imaging with randomized lattice sampling : Applications to fast 3D MRI. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. pp. 3736-3739
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