Special Issue: Combining multi-modal imaging and modeling for better knowledge of brain functions

Guest Editor

Dr. Franck Plouraboué
Institut de Mécanique des Fluides de Toulouse, UMR CNRS-INPT/UPS No.550.
Email: fplourab@imft.fr


Manuscript Topics

Modern brain disease investigations are currently using various imaging modalities so as to infer or follow up the evolution of specific area and/or functions. Multi-modal images raise the opportunity to produce a better knowledge of the brain, and they are indeed common practice in medical diagnostic.  They could nevertheless be straighten by a more comprehensive consideration of their underlying anatomical, physiological and physical specificity, so as to better infer how qualitative changes and comparison between signals are related to real, physiologically relevant, quantitative measurements. Multi-modal image registration is not only needed. Taking into considerations other variations associated with the signal difference, such as multi-modal voxelization, time integration, imaging sequence, signal post-processing are interesting to consider. Relating  the underlying physical and physiological origin of the signals and modeling it might help deciphering true information from noise. Any progress in this direction could be fruitfull for progressing in brain analysis and early disease diagnostic.


Any contribution in this area, combining at least two imaging modalities would be welcome in this topic proposal.


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Please submit your manuscript to online submission system
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Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 December 2021

Published Papers(1)