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Summary: VECTORIAL MULTI-PHASE MOUSE BRAIN TUMOR SEGMENTATION IN T1-T2 MRI
V. Israel-Jost1
, E. Breton2
, E. D. Angelini1
, Ph. Choquet2
, I. Bloch1
, A. Constantinesco2
1
Institut Telecom, Telecom ParisTech - CNRS LTCI, Paris, France
2
HUS, H^opital de Hautepierre, Strasbourg, France
ABSTRACT
An automated, level-set based, segmentation framework is proposed
in this work for computation of tumoral volumes on mice brain bear-
ing gliomal tumors. T1 and T2 weighted MRI images were acquired
to monitor tumor growth, at different time points. We developed an
original multi-phase and multi-channel segmentation method, based
on the level set framework of Chan and Vese, to facilitate the es-
timation of tumoral volumes. A clinical study comparing manual
and segmented volumes on 18 mice demonstrate the adequacy of the
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