MesoFT: Unifying Diffusion Modelling and Fiber Tracking

  • Marco Reisert
  • V. G. Kiselev
  • Bibek Dihtal
  • Elias Kellner
  • D. S. Novikov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8675)


One overarching challenge of clinical magnetic resonance imaging (MRI) is to quantify tissue structure at the cellular scale of micrometers, based on an MRI acquisition with a millimeter resolution. Diffusion MRI (dMRI) provides the strongest sensitivity to the cellular structure. However, interpreting dMRI measurements has remained a highly ill-posed inverse problem. Here we propose a framework that resolves the above challenge for human white matter fibers, by unifying intra-voxel mesoscopic modeling with global fiber tractography. Our algorithm is based on a Simulated Annealing approach which simultaneously optimizes diffusion parameters and fiber locations. Each fiber carries its individual set of diffusion parameters which allows to link them by their structural relationships.


Magnetic Resonance Imaging Acquisition Simulated Annealing Approach Clinical Magnetic Resonance Imaging Reversible Jump Monte Carlo Markov Chain Fiber Tractography 
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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Marco Reisert
    • 1
  • V. G. Kiselev
    • 1
  • Bibek Dihtal
    • 1
  • Elias Kellner
    • 1
  • D. S. Novikov
    • 2
  1. 1.Department of Diagnostic Radiology, Medical PhysicsUniversity Medical Center FreiburgFreiburgGermany
  2. 2.Bernard and Irene Schwartz Center for Biomedical Imaging, Department of RadiologyNew York University School of MedicineNew YorkUSA

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