Reconstruction and topological cleaning of brain MR Images

Gerbaud, Sylvain; Horna, Sébastien; Zrour, Rita; Naudin, Mathieu; Guillevin, Carole; Meseure, Philippe

doi:10.1109/icabme53305.2021.9604811

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2023

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“…The first step involves creating a detailed representation of the brain, creating an optimal support for the representation of information [26]. It brings in anatomical information for a closer representation of reality and improved guidance for reconstruction [27]. At the second step, it becomes necessary to adjust the resolutions of the data using interpolation techniques with functional data weighting.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic and Therapeutic Issues in Glioma Using Imaging Data: The Challenge of Numerical Twinning

Guillevin,

Naudin,

Fayolle

et al. 2023

JCM

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Glial tumors represent the leading etiology of primary brain tumors. Their particularities lie in (i) their location in a highly functional organ that is difficult to access surgically, including for biopsy, and (ii) their rapid, anisotropic mode of extension, notably via the fiber bundles of the white matter, which further limits the possibilities of resection. The use of mathematical tools enables the development of numerical models representative of the oncotype, genotype, evolution, and therapeutic response of lesions. The significant development of digital technologies linked to high-resolution NMR exploration, coupled with the possibilities offered by AI, means that we can envisage the creation of digital twins of tumors and their host organs, thus reducing the use of physical sampling.

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Section: Introductionmentioning

confidence: 99%