Work Description

Title: Lu-177 patients CT images and contours dataset for medical image segmentation Open Access Deposited

http://creativecommons.org/licenses/by-nc/4.0/
Attribute Value
Methodology
  • CT images were acquired with Siemens Intevo SPECT/CT system and tumor/organ boundaries have been manually labeled on CT by a radiologist for Lu-177 patients in our clinics. All patient private information is anonymized using commercial software.
Description
  • Internally administered targeted radionuclide therapy (TRT) with radio-labelled targeting molecules that deliver cytotoxic radiation to tumor has been used successfully to treat multiple cancers. Lu-177, used increasingly in TRT, emits both beta particles that deliver the therapeutic effect. FDA recently approved a fixed activity (4 cycles of 7.4 GBq/cycle as in NETTER -1) administered every 8 weeks. With the patient studies under this treatment, we collected CT images and corresponding volume of interest (organs, lesions) contours.
Creator
Depositor
  • hongki@umich.edu
Contact information
Discipline
Funding agency
  • National Institutes of Health (NIH)
Keyword
Citations to related material
Resource type
Last modified
  • 10/04/2019
Published
  • 07/09/2019
DOI
License
To Cite this Work:
Lim, H., Dewaraja, Y. (2019). Lu-177 patients CT images and contours dataset for medical image segmentation [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/864r-tb45

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