• DocumentCode
    1478057
  • Title

    FOCUSS Based Schatten-p Norm Minimization for Real-Time Reconstruction of Dynamic Contrast Enhanced MRI

  • Author

    Majumdar, Angshul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • Volume
    19
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    315
  • Lastpage
    318
  • Abstract
    This work addresses the problem of real-time reconstruction of Dynamic Contrast Enhanced Magnetic Resonance Images (DCE MRI) from partially sampled K-space. The difference image between the current and previous frame is modeled as a rank deficient matrix. It is reconstructed from via nonconvex Schatten-p norm minimization. We develop a FOCUSS (FOCally Under-determined System Solver) based algorithm for solving the said minimization problem. The proposed technique has been compared with state-of-the-art online and offline reconstruction techniques. It yields slightly worse reconstruction results than the offline technique but considerably superior results, both in terms of accuracy and speed compared to the online technique.
  • Keywords
    biomedical MRI; concave programming; image enhancement; image reconstruction; medical image processing; minimisation; FOCUSS-based Schatten-p norm minimization; dynamic contrast enhanced MRI; focally-underdetermined system solver; magnetic resonance images; nonconvex Schatten-p norm minimization; offline reconstruction technique; online reconstruction technique; partially-sampled K-space; rank-deficient matrix; real-time reconstruction; Compressed sensing; Heuristic algorithms; Image reconstruction; Magnetic resonance imaging; Minimization; Real time systems; Compressed sensing; MRI; multiple measurement vector;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2012.2191776
  • Filename
    6174447