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UID:2209@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20180223T140000
DTEND;TZID=Europe/Paris:20180223T150000
DTSTAMP:20180208T130000Z
URL:https://www.i2m.univ-amu.fr/evenements/geometrical-growth-models-for-c
 omputational-anatomy/
SUMMARY: (...): Geometrical growth models for computational anatomy
DESCRIPTION:: After brief illustrations of shape representations by current
 s\, varifolds and oriented varifolds\, I will present a growth model for l
 ongitudinal shape analysis grounded on the geometric concept of a group of
  deformations acting on embedded shapes that has proved to be highly effic
 ient to compare and quantify diffeomorphic morphometric changes. However\,
  the analysis of medical imaging data also requires the processing of more
  complex transformations that may not be diffeomorphic\, at least in a bio
 logical sense. One reason might be a gradual creation of new material. The
  evolution of the shape can then be described by the joint action of a def
 ormation process and a creation process. The necessity for partial mapping
 s leads then to a time-varying dynamic that modifies the action of the gro
 up of deformations. Ultimately\, growth priors are integrated into a new o
 ptimal control problem for assimilation of time-varying surface data repre
 sented by currents or varifolds. This new model is inspired by the deploym
 ent of animal horns and will be applied to it.https://sites.google.com/sit
 e/irenekaltenmark/
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DTSTART:20171029T020000
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