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An Efficient Computational Approach to Characterize DSC-MRI Signals Arising from Three-Dimensional Heterogeneous Tissue Structures

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  • Natenael B Semmineh
  • Junzhong Xu
  • Jerrold L Boxerman
  • Gary W Delaney
  • Paul W Cleary
  • John C Gore
  • C Chad Quarles

Abstract

The systematic investigation of susceptibility-induced contrast in MRI is important to better interpret the influence of microvascular and microcellular morphology on DSC-MRI derived perfusion data. Recently, a novel computational approach called the Finite Perturber Method (FPM), which enables the study of susceptibility-induced contrast in MRI arising from arbitrary microvascular morphologies in 3D has been developed. However, the FPM has lower efficiency in simulating water diffusion especially for complex tissues. In this work, an improved computational approach that combines the FPM with a matrix-based finite difference method (FDM), which we call the Finite Perturber the Finite Difference Method (FPFDM), has been developed in order to efficiently investigate the influence of vascular and extravascular morphological features on susceptibility-induced transverse relaxation. The current work provides a framework for better interpreting how DSC-MRI data depend on various phenomena, including contrast agent leakage in cancerous tissues and water diffusion rates. In addition, we illustrate using simulated and micro-CT extracted tissue structures the improved FPFDM along with its potential applications and limitations.

Suggested Citation

  • Natenael B Semmineh & Junzhong Xu & Jerrold L Boxerman & Gary W Delaney & Paul W Cleary & John C Gore & C Chad Quarles, 2014. "An Efficient Computational Approach to Characterize DSC-MRI Signals Arising from Three-Dimensional Heterogeneous Tissue Structures," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-13, January.
    • Handle: RePEc:plo:pone00:0084764
    DOI: 10.1371/journal.pone.0084764
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    References listed on IDEAS

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    1. Gabryś, Elżbieta & Rybaczuk, Marek & Kędzia, Alicja, 2006. "Blood flow simulation through fractal models of circulatory system," Chaos, Solitons & Fractals, Elsevier, vol. 27(1), pages 1-7.
    2. Gabryś, Elżbieta & Rybaczuk, Marek & Kędzia, Alicja, 2005. "Fractal models of circulatory system. Symmetrical and asymmetrical approach comparison," Chaos, Solitons & Fractals, Elsevier, vol. 24(3), pages 707-715.
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