Ultra-high field 7T MRI and the utilization of multiple MRI contrasts potentially enable a superior hippocampal subfield segmentation. A residual-dense fully convolutional neural network based on U-net, including a dilated-convolutional-block was implemented for hippocampal subfield segmentation. Two data sets were combined for training and mean DSC of 0.7723 was obtained. DSC was higher for larger subfields, which were undersegmented, while smaller subfields were oversegmented. Results were comparable to the atlas-based method ASHS, while providing a substantially faster processing time.
|Title of host publication||Proceedings of the 2020 ISMRM & SMRT Virtual Conference & Exhibition, 08-14 August 2020|
|Publication date||24 Jul 2020|
|Publication status||Published - 24 Jul 2020|
|Event||2020 ISMRM & SMRT Virtual Conference & Exhibition - |
Duration: 8 Aug 2020 → 14 Aug 2020
|Conference||2020 ISMRM & SMRT Virtual Conference & Exhibition|
|Period||08/08/2020 → 14/08/2020|