Summary
This data set consists of 390 high resolution (1.5mm axial slice thickness) GammaKnife MR/CT pairs collected concurrently. Using the SRS frame, the T1-MR images were rigidly registered to the corresponding CTs. The data set is approximately equal parts healthy patients (trigeminal neuralgia or acoustic neuroma) and patients with metastatic disease. Cases were excluded for anatomic altering lesions (i.e. meningiomas) or tumors nearby the hippocampus. Contours of the left and right hippocampus were created by the researchers following the RTOG 0933 protocol and a head contour was created to be used to mask out the SRS frame.
The dataset also includes:
- MR Sequences: Pregadolinium (Sagittal T1, axial multiecho, axial FLAIR, axial MPR) or Postgadolinium (Axial T1, axial MPR) or T2 MRI for benign cases
- GammaKnife treatment planning contours.
- Deep learning generated contours of the hippocampus from this publication: https://doi.org/10.1002/mp.14098
The high-resolution MR/CT image pairs allows researchers to investigate segmentation of the hippocampus, and to contour additional structures to expand upon the availability of cranial segmentation data.
Additional Information
All MR images designated as ‘Co-registered to CT’ in the Series Description were interpolated to the CT frame of reference, potentially altering the field of view or voxel resolution. For all co-registered MR images, the original primary images and registration files are provided for use as needed.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
Beaumont Research Institute
Data Access
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Detailed Description
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Number of Patients | 390 |
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We have rigidly registered all MR images to the CT images
The submission data consists of 390 patient cases sourced from Beaumont's Gamma Knife center. All images have a cranial field of view. Of the cases, 191 patients were treated for trigeminal neuralgia and 199 patients were treated for brain metastases (4 to 26 per patient).
For each patient, there is one (1) MR Imaging study, one (1) CT imaging study and one (1) Radiotherapy structure set (RTSTRUCT) consisting of contours generated by researchers. Both images represent a single time point and were acquired less than an hour apart. Each file is encoded in the DICOM standard. The data set is stored in the MIM Software clinical database.
Citations & Data Usage Policy
Data Citation
DOI goes here. Create using Datacite with information from Collection Approval form
Publication Citation
Porter, E., Fuentes, P., Siddiqui, Z., Thompson, A., Levitin, R., Solis, D., Myziuk, N., & Guerrero, T. (2020). Hippocampus segmentation on noncontrast CT using deep learning. Medical Physics, 47(7), 2950–2961. https://doi.org/10.1002/mp.14098
Acknowledgement
Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.
TCIA Citation
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7
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Images (DICOM, xx.x GB) | (Requires NBIA Data Retriever.) |