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| Describe SynthSR here. | = Segmentation of thalamic nuclei = '''''This functionality will be soon available in the development version of FreeSurfer.''''' <<BR>> <<BR>> ''Author: Juan Eugenio Iglesias'' <<BR>> ''E-mail: e.iglesias [at] ucl.ac.uk'' <<BR>> <<BR>> ''Rather than directly contacting the author, please post your questions on this module to the FreeSurfer mailing list at freesurfer [at] nmr.mgh.harvard.edu'' <<BR>> <<BR>> If you use this tool in your analysis, please cite: * [[https://www.sciencedirect.com/science/article/pii/S1053811921004833|Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast]]. JE Iglesias, B Billot, Y Balbastre, A Tabari, J Conklin, RG Gonzalez, DC Alexander, P Golland, BL Edlow, B Fischl, for the ADNI. Neuroimage, 2021 (in press). <<BR>> Since the robustness against MR contrast / orientation /resolution with a single model was not presented in the original SynthSR paper, we would also greatly appreciate it if you could please also cite: * [[https://arxiv.org/pdf/2107.09559.pdf|SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution]]. B Billot, DN Greve, O Puonti, A Thielscher, K Van Leemput, B Fischl, AV Dalca, JE Iglesias. Under revision. This tool implements SynthSR, a convolutional neural network that turns a clinical MRI scan (or even CT scan!) of any orientation, resolution and contrast into 1 mm isotropic MP-RAGE. You can then run your favorite neuroimaging software on these synthetic images for segmentation / registration / any other analysis. |
Segmentation of thalamic nuclei
This functionality will be soon available in the development version of FreeSurfer.
Author: Juan Eugenio Iglesias
E-mail: e.iglesias [at] ucl.ac.uk
Rather than directly contacting the author, please post your questions on this module to the FreeSurfer mailing list at freesurfer [at] nmr.mgh.harvard.edu
If you use this tool in your analysis, please cite:
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. JE Iglesias, B Billot, Y Balbastre, A Tabari, J Conklin, RG Gonzalez, DC Alexander, P Golland, BL Edlow, B Fischl, for the ADNI. Neuroimage, 2021 (in press).
Since the robustness against MR contrast / orientation /resolution with a single model was not presented in the original SynthSR paper, we would also greatly appreciate it if you could please also cite:
SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution. B Billot, DN Greve, O Puonti, A Thielscher, K Van Leemput, B Fischl, AV Dalca, JE Iglesias. Under revision.
This tool implements SynthSR, a convolutional neural network that turns a clinical MRI scan (or even CT scan!) of any orientation, resolution and contrast into 1 mm isotropic MP-RAGE. You can then run your favorite neuroimaging software on these synthetic images for segmentation / registration / any other analysis.