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Part 1: Document Description
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Citation |
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Title: |
Synthesis of CT images from digital body phantoms using CycleGAN [dataset] |
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Identification Number: |
doi:10.11588/data/7NRFYC |
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Distributor: |
heiDATA |
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Date of Distribution: |
2022-07-14 |
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Version: |
1 |
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Bibliographic Citation: |
Zöllner, Frank, 2022, "Synthesis of CT images from digital body phantoms using CycleGAN [dataset]", https://doi.org/10.11588/data/7NRFYC, heiDATA, V1 |
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Citation |
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Title: |
Synthesis of CT images from digital body phantoms using CycleGAN [dataset] |
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Identification Number: |
doi:10.11588/data/7NRFYC |
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Authoring Entity: |
Zöllner, Frank (Universität Heidelberg) |
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Grant Number: |
13GW0388A |
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Distributor: |
heiDATA |
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Access Authority: |
Zöllner, Frank |
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Holdings Information: |
https://doi.org/10.11588/data/7NRFYC |
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Study Scope |
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Keywords: |
Computer and Information Science, Medicine, Health and Life Sciences, CT synthesis, Generative Adversial Networks, CycleGAN, simulation based deep learning, physical modeling |
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Abstract: |
The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data size. We evaluated eleven CycleGAN for the synthesis of computed tomography (CT) images based on XCAT body phantoms. |
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Kind of Data: |
image data is provided in nrrd file format (http://teem.sourceforge.net/nrrd/index.html) |
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Notes: |
Here, only the generated synthetic CT image data are provided. For generating body models as basis for synthetic CT generation you need to license the XCAT phantom (<a href="https://otc.duke.edu/technologies/xcat-library-of-anatomical-models-for-ct-imaging-research/">https://otc.duke.edu/technologies/xcat-library-of-anatomical-models-for-ct-imaging-research/</a>). |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Russ, T., Goerttler, S., Schnurr, AK. et al. Synthesis of CT images from digital body phantoms using CycleGAN. Int J CARS 14, 1741–1750 (2019) |
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Identification Number: |
https://doi.org/10.1007/s11548-019-02042-9 |
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Bibliographic Citation: |
Russ, T., Goerttler, S., Schnurr, AK. et al. Synthesis of CT images from digital body phantoms using CycleGAN. Int J CARS 14, 1741–1750 (2019) |
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Label: |
synCT.zip |
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Text: | |
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Notes: |
application/zip |