Diffeomorphic Iterative Centroid Methods for Template Estimation on Large Datasets

Part of book or chapter of book English OPEN
Cury, Claire; Glaunès, Joan Alexis; Colliot, Olivier;
  • Publisher: Springer
  • Related identifiers: doi: 10.1007/978-3-319-05317-2_10
  • Subject: [INFO.INFO-IM]Computer Science [cs]/Medical Imaging | [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging | [MATH.MATH-DG]Mathematics [math]/Differential Geometry [math.DG] | [MATH.MATH-MG]Mathematics [math]/Metric Geometry [math.MG] | [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging | [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging | [ INFO.INFO-TI ] Computer Science [cs]/Image Processing | [ MATH.MATH-MG ] Mathematics [math]/Metric Geometry [math.MG] | [ MATH.MATH-DG ] Mathematics [math]/Differential Geometry [math.DG] | [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

International audience; A common approach for analysis of anatomical variability relies on the stimation of a template representative of the population. The Large Deformation Diffeomorphic Metric Mapping is an attractive framework for that purpose. However, template est... View more
  • References (26)
    26 references, page 1 of 3

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