Table 2:

Evaluation of accuracy of various atlas-to-patient registration methods on postmortem samplesa

StructureNo.Outline-Based SSM Registration12 df Surface MatchingACPC Matching
AV80.77 mm D: 0.531.05 mm D: 0.411.91 mm D: 0.2
MDmc20.93 mm D: 0.461.99 mm D: 0.410.73 mm D: 0.52
MDpc20.52 mm D: 0.730.87 mm D: 0.620.92 mm D: 0.53
MGN40.46 mm D: 0.641.09 mm D: 0.480.75 mm D: 0.57
LGN11.19 mm D: 0.720.46 mm D: 0.390.91 mm D: 0.44
CM40.41 mm D: 0.780.90 mm D: 0.570.92 mm D: 0.54
Thalamus outline80.45 mm D: 0.890.54 mm D: 0.871.49 mm D: 0.71
  • Note:—D indicates the Dice coefficient of overlaps; AV, anterior ventral nucleus; MDmc, mediodorsal nucleus magnocellular part; MDpc, mediodorsal nucleus parvocellular part; CM, Centre médian nucleus; MGN, medial geniculate nucleus; LGN, lateral geniculate nucleus.

  • a We were able to perform such validations on a limited number of reference images. Geometric errors are given as median vertex distances measured between the reference standard (manual delineation of MRI data) and the predicted meshes and as the Dice coefficient of overlaps. For predictions, we have applied the outline-based SSM, conventional ACPC matching, and a surface-based 12 df registration method. Abbreviations of thalamic nuclei are in accordance with the nomenclature used by Morel.7,9