Published November 10, 2023
| Version v1
Dataset
Open
Multi-breath 4DCT images of lung cancer patients
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1.
Paul Scherrer Institute
Description
Multi-breath 4DCT images of six non-small cell lung cancer (NSCLC) patients.
Breathing motion has been transferred across longitudinal imaging to generate new 4DCT images sampling five consecutive breaths.
This dataset is the result of processing six subjects selected from the 4D-Lung dataset published in The Cancer Imaging Archive: https://doi.org/10.7937/K9/TCIA.2016.ELN8YGLE Hugo et al. (2016).
Data generated within the project "New concept for adaptive real time tumour tracking" funded by the Swiss National Science Foundation (SNSF) under grant agreement 200021_185082: https://data.snf.ch/grants/grant/185082
Files
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(3.0 GB)
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md5:50a8479e93bda2725a0d9898d117c4d8
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469.7 MB | Download |
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md5:cbb880bc03e3eead338bf5ba2cc846f4
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439.4 MB | Download |
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md5:df21c2131e79a32cea86545e404fdec3
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552.9 MB | Download |
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md5:271b8148de7c85f0b4ec1963a669d3c7
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583.0 MB | Download |
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md5:741034a8b13a3903f52c7281a7b706ae
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493.8 MB | Download |
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md5:6d210e8ed1f50701250535ee61eb5198
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476.5 MB | Download |
Additional details
Related works
- Is derived from
- Dataset: 10.7937/K9/TCIA.2016.ELN8YGLE (DOI)
- Journal article: 10.1002/mp.12059 (DOI)
- Is described by
- Journal article: 10.1088/2057-1976/ad4e3b (DOI)
- Is source of
- Journal article: 10.1088/1361-6560/acf5c4 (DOI)