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Notes:
This is an atlas set that can be used with ASHS software to
perform automatic segmentation.
This atlas set was constructed from 7 Tesla MRI scans acquired in
the PREDICT-MR study conducted at UMC Utrecht. The scans have
been segmented manually by L.E.M. Wisse.
Copyright (C) 2016 Wisse, L.E.M., Kuijf, H.J., Honingh, A.M., Wang,
H., Pluta, J.B., Das, S.R., Wolk, D.A., Zwanenburg, J.J.M.,
Yushkevich, P.A. and Geerlings, M.I.
The atlas contains segmented scans of 26 older adults from the
PREDICT-MR study aimed to investigate determinants and consequences
of brain changes on MRI in general practice attendees. Scans
were acquired at 7 Tesla. The T2-weighted scans are at
0.35x0.35x0.35mm3 resolution (interpolated from 0.7x0.7x0.7 native
resolution). The manual segmentations include several labels,
including hippocampal subfields traced along the full length
of the hippocampus, and the ERC. Scans have been face-stripped and
are de-identified.
Any use in publication should cite
Wisse, L.E.M., Kuijf, H.J., Honingh, A.M., Wang, H., Pluta, J.B.,
Das, S.R., Wolk, D.A., Zwanenburg, J.J.M., Yushkevich, P.A. and
Geerlings, M.I., 2016. Automated Hippocampal Subfield Segmentation
at 7T MRI. American Journal of Neuroradiology.
and space permitting, please cite
Yushkevich, P.A., Pluta, J.B., Wang, H., Xie, L., Ding, S.L.,
Gertje, E.C., Mancuso, L., Kliot, D., Das, S.R. and Wolk, D.A.,
2015. Automated volumetry and regional thickness analysis of
hippocampal subfields and medial temporal cortical structures in
mild cognitive impairment. Human brain mapping, 36(1), pp.258-287.
Please see these papers for details on the dataset.
Changes:
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