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Summary: CONTRAST MAPPING AND STATISTICAL TESTING FOR LOW-GRADE GLIOMA
GROWTH QUANTIFICATION ON BRAIN MRI
Elsa D. Angelini, Julie Delon
Institut Telecom, Telecom ParisTech
CNRS, LTCI
Paris, France
Laurent Capelle, Emmanuel Mandonnet
Neurosurgery Department, Hopital Pitie Salpetriere,
Neurosurgery Department, Hopital Lariboisiere,
Paris, France
ABSTRACT
A statistical differential analysis framework of longitudinal
MRI volumes is proposed, based on difference maps af-
ter non-linear contrast midway mapping, to quantify tumor
growth. This mapping was used to normalize MRI scans to a
common range of values, and was adapted in this work to han-
dle multiplicative MRI inhomogeneity fields. This lead to two
direct applications: (1) change detection from a statistical test
on differences in midway-mapped MRI data, and (2) tumoral
growth quantification. A clinical evaluation was performed
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