Ask the Expert 7. Virtual Tomography – Optimizing Data Acquisition Parameters Without a CT Scanner

We invited Dr. Awen Autret, R&D Engineer from NOVITOM, and asked him questions to learn how you can simulate X‑ray images and where this technology can be useful.

Awen is a chief engineer who designed NOVITOM’s simulation program. Join us live to participate in the discussion and ask him any questions you might have about X‑ray image simulations. In this webinar, you will learn how CT images can be simulated and where they can be useful.

We asked him:

1. Can you briefly describe how you simulate CT data?
2. Who uses NOVITOM’s tools and how are they benefitting from the simulation capability?
3. How can you use simulations to optimize measurement conditions?
4. Can you use simulations to create training data for machine learning?
5. How well do simulations and experiments match?
6. What is the future of CT simulations?

Resources

  Download: Virtual Tomography – Optimizing Data Acquisition Parameters Without a CT Scan by Dr. Awen Autret

• “GRANT 4 simulation toolkit,” Agostinelli et al., 2003: https://hal.in2p3.fr/in2p3-00020246
• “NOVI-SIM: A NEW FAST SIMULATION TOOL FOR X-RAY TOMOGRAPHY,” Autret et al., 2017: https://meetingorganizer.copernicus.org/ICTMS2017/ICTMS2017-185.pdf
• “GATE V6: a major enhancement of the GATE simulation platform enabling modeling of CT and radiotherapy,” Jan et al., 2011: http://dx.doi.org/10.1088/0031-9155/56/4/001
• “Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET,” Kim et al., 2013: https://ieeexplore.ieee.org/abstract/document/6527334
• “Recent developments in X-ray imaging with micrometer spatial resolution,” Martin et al., 2006: https://doi.org/10.1107/S0909049506000550
• “X-ray phase contrast image simulation,” Peterzol et al., 2007 https://doi.org/10.1016/j.nimb.2006.11.042
• “U-Net: Convolutional Networks for Biomedical Image Segmentation,” Ronneberger et al., 2015: https://arxiv.org/abs/1505.04597
• “Optimization and Simulation of Phase Contrast Imaging,” Shen et al., 2008: https://doi.org/10.1109/IITA.2008.334
• “Ring Artifacts Removal & Noise Reduction in X-Ray Computed Tomography Using Deep-Learning,” Nguyen, Duy, et al., 2022: https://www.ndt.net/search/docs.php3?id=27744
• “Novi-Sim: A fast X-ray tomography simulation software for laboratory and synchrotron systems to generate training databases for deep learning applications,” Neffati, D., et al, 2023: https://www.ndt.net/search/docs.php3?id=27739
• “Comparison of X-ray speckle-based imaging deflection retrieval algorithms for the optimization of radiation dose,” Rouge-Labriet, H., et al., 2021: https://iopscience.iop.org/article/10.1088/1361-6560/ab87f7
• Learn more about Novitom and their analysis tools: Novitom
• Connect with the guest expert, Dr. Awen Autret on LinkedIn.