Work Description

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

h
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
Resource type
Last modified
  • 11/27/2019
Published
  • 07/09/2019
DOI
  • https://doi.org/10.7302/864r-tb45
License
To Cite this Work:
Lim, H., Dewaraja, Y. K. (2019). Lu-177 patients CT images and contours dataset for medical image segmentation [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/864r-tb45

Relationships

This work is not a member of any user collections.

Files (Count: 4; Size: 211 MB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
read_me_CT_Contour_data.pdf 2019-07-02 2019-07-02 37.7 KB Open Access
CT.zip 2019-11-27 2019-11-27 177 MB Open Access
Contour.zip 2019-11-27 2019-11-27 4.15 MB Open Access
SPECT.zip 2019-11-27 2019-11-27 29.8 MB Open Access

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.

Files are ready   Download Data from Globus
Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.