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Multi-breath 4DCT images of lung cancer patients

<p><strong>Multi-breath 4DCT images of six non-small cell lung cancer (NSCLC) patients.</strong></p><p>Breathing motion has been transferred across longitudinal imaging to generate new 4DCT images sampling five consecutive breaths.</p><p>This dataset is the result of processing six subjects selected from the 4D-Lung dataset published in The Cancer Imaging Archive: <a href="https://doi.org/10.7937/K9/TCIA.2016.ELN8YGLE">https://doi.org/10.7937/K9/TCIA.2016.ELN8YGLE </a>Hugo et al. (2016).</p><p>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: <a href="https://data.snf.ch/grants/grant/185082">https://data.snf.ch/grants/grant/185082</a>&nbsp;</p><p>&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4