Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation

Chunming Li, John C. Gore, Christos Davatzikos

Research output: Contribution to journalArticle

Abstract

This paper proposes a new energy minimization method called multiplicative intrinsic component optimization (MICO) for joint bias field estimation and segmentation of magnetic resonance (MR) images. The proposed method takes full advantage of the decomposition of MR images into two multiplicative components, namely, the true image that characterizes a physical property of the tissues and the bias field that accounts for the intensity inhomogeneity, and their respective spatial properties. Bias field estimation and tissue segmentation are simultaneously achieved by an energy minimization process aimed to optimize the estimates of the two multiplicative components of an MR image. The bias field is iteratively optimized by using efficient matrix computations, which are verified to be numerically stable by matrix analysis. More importantly, the energy in our formulation is convex in each of its variables, which leads to the robustness of the proposed energy minimization algorithm. The MICO formulation can be naturally extended to 3D/4D tissue segmentation with spatial/sptatiotemporal regularization. Quantitative evaluations and comparisons with some popular softwares have demonstrated superior performance of MICO in terms of robustness and accuracy.

Original languageEnglish (US)
Pages (from-to)913-923
Number of pages11
JournalMagnetic Resonance Imaging
Volume32
Issue number7
DOIs
StatePublished - 2014
Externally publishedYes

Fingerprint

Magnetic resonance imaging
Magnetic Resonance Spectroscopy
Tissue
Magnetic resonance
Software
Joints
Physical properties
Decomposition

Keywords

  • 4D segmentation
  • Bias field correction
  • Bias field estimation
  • Brain segmentation
  • Intensity inhomogeneity
  • MRI

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging
  • Biomedical Engineering

Cite this

Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation. / Li, Chunming; Gore, John C.; Davatzikos, Christos.

In: Magnetic Resonance Imaging, Vol. 32, No. 7, 2014, p. 913-923.

Research output: Contribution to journalArticle

Li, Chunming ; Gore, John C. ; Davatzikos, Christos. / Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation. In: Magnetic Resonance Imaging. 2014 ; Vol. 32, No. 7. pp. 913-923.
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