Abstract
Virtual clinical trials (VCTs) are increasingly being seen as a viable pre-clinical method for evaluation of imaging systems in breast cancer screening. The CR-UK funded OPTIMAM project is aimed at producing modelling tools for use in such VCTs. In the initial phase of the project, modelling tools were produced to simulate 2D-mammography and digital breast tomosynthesis (DBT) imaging systems. This paper elaborates on the new tools that have recently been developed for the current phase of the OPTIMAM project. These new additions to the framework include tools for simulating synthetic breast tissue, spiculated masses and variable-angle DBT systems. These tools are described in the paper along with the preliminary validation results. Four-alternative forced choice (4-AFC) type studies deploying these new tools are underway. The results of the ongoing 4AFC studies investigating minimum detectable contrast/size of masses/microcalcifications for different modalities and system designs are presented.
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Acknowledgements
This work is part of the OPTIMAM2 project funded by Cancer Research UK (grant, number: C30682/A17321). We are grateful for Hologic’s assistance with the reconstruction. The authors thank colleagues at NCCPM, Dr. Vicky Cooke at the Jarvis Breast Screening Centre, Guildford and observers at St Georges Hospital, London for invaluable assistance.
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Elangovan, P., Hadjipanteli, A., Mackenzie, A., Dance, D.R., Young, K.C., Wells, K. (2016). OPTIMAM Image Simulation Toolbox - Recent Developments and Ongoing Studies. In: Tingberg, A., Lång, K., Timberg, P. (eds) Breast Imaging. IWDM 2016. Lecture Notes in Computer Science(), vol 9699. Springer, Cham. https://doi.org/10.1007/978-3-319-41546-8_83
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DOI: https://doi.org/10.1007/978-3-319-41546-8_83
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