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  • Gamma Knife MR/CT/RTSTRUCT Sets With Hippocampal Contours (GammaKnife-Hippocampal)

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Summary

Overview:

This collection is comprised of 390 patients who presented with vestibular schwannoma (VS, n=73), trigeminal neuralgia (TGN, n=119) or metastatic disease (M, n=198) and were subsequently treated with Gamma Knife (Eleka AB, Stockholm, Sweden) stereotactic radiosurgery. For each patient, the treatment indication is designated with a suffix on their patient ID (VS, TGN or M).

All patients are provided with at least one high-resolution (1 mm slice thickness) T1 FLASH trans-axial MR imaging study and their corresponding high-resolution axial planning CT. When available, treatment planning data (struct, dose, plan), alternative MR sequences (FLAIR, T2 CISS, etc.) and follow-up MR imaging studies were collected. Each MR image used during treatment planning was registered to the CT frame of reference and is provided with the DICOM registration file and the aligned secondary image. Additionally, for each patient in the cohort, hippocampal contours generated by multiple institutional observers are provided in a separate structure set. In total, this dataset contains: CT (n=390), MR (n=3868), REG (n=872), DOSE (n=928), PLAN (n=928), planning STRUCT (n=931), and hippocampal research STRUCT (n=390).

Planning Data:

Gamma Knife planning studies are designated by “Gamma Knife Planning Data” in the study description DICOM header tag. For each patient, MIM (MIM Software, Beachwood, OH) was used to generate a rigid registration between CT and each MR sequence and the registration accuracy was validated using the stereotactic frame fiducial markers. From each registration, a DICOM RTREG file and aligned secondary are provided, with each aligned secondaries series indicated by “[original series description] Co-registered to CT” in the series description DICOM header tag. During export from GammaPlan (Eleka AB, Stockholm, Sweden), the treatment planning files was provided in duplicate for each imaging modality frame of reference (CT and each MR sequence).

Follow-up Data:

When available, patient follow-up images were collected between the provided treatment date and either the next Gamma Knife treatment or up-to approximately two years following treatment. In total, 197 patients are provided with follow-up imaging studies, with a median of 2 (range 1-13) follow-up studies provided per patient. Each follow-up imaging study is designated as “Follow-up Image Set #”. Each follow-up date exists in a unique frame of reference and was not co-registered to the original treatment planning CT volume.

Hippocampal Contours:

Three independent observers generated hippocampal contours from the CT aligned-secondary of the T1-weighted MR image, with the resultant contours saved to the CT frame of reference. In total, 744 unique left, right contour pairs were generated (observer 1, n=390; observer 2, n=247; observer 3, n=107). In addition to hippocampal contours, the region grow tool was used to generate a head contour (ROI name ‘head’) to mask out the stereotactic frame and remove most of the reconstruction artifacts on the inferior extent of the image volume.

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, Royal Oak, MI – Evan Porter (PhD), Thomas Guerrero (MD, PhD), Patricia Fuentes (MD), Brian Squires (MD), Tanya Gonzalez (MD), and Ina Sala (PhD, MBA)

Beaumont Gamma Knife Center, Royal Oak, MI – Inga Grills (MD) and Peter Chen (MD)

Data Access

Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement to help@cancerimagingarchive.net before accessing the data.

Data TypeDownload all or Query/FilterLicense

Images and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB)


   

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TCIA Restricted License Agreement

Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.

Detailed Description

Image Statistics


Modalities

CT,MR,REG,RTDOSE,RTPLAN,RTSTRUCT

Number of Patients

390

Number of Studies

1509

Number of Series


Number of Images


Images Size (GB)


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

Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement to help@cancerimagingarchive.net before accessing the data.

Data Citation

Porter, E., Fuentes, P., Siddiqui, Z., Thompson, A., Levitin, R., Solis, D., Myziuk, N., & Guerrero, T. (2022). GammaKnife MR/CT/RTSTRUCT Sets With Hippocampal Contours (GammaKnife-Hippocampal)  (Version 1) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/q967-x166 (draft version, not findable).

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

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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7

Other Publications Using This Data

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Version 1 (Current): Updated 2022/06/dd

Data TypeDownload all or Query/FilterLicense
Images (DICOM, xx.x GB)TCIA Restricted License Agreement



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