PET/SPECT/CT preclinical imaging CUBES
Automated microscopy and Spatial Proteomics
Automated microscopy and image analysis
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Recorded webinar
Presenters: Prof. Dr. Ken Herrmann and Prof. Dr. Katharina Lückerath – Moderator: Hannah Notebaert
Webinar: Dose Reduction and Image Enhancement in Preclinical Mouse Imaging using Deep Learning
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In preclinical imaging, it is important to aim for dose reduction as longitudinal studies with many scanning time points can result in accumulated doses that impact your study results. However, lowering the dose in PET and CT imaging inherently introduces noise, and reduced image quality negatively impacts diagnostic performance. Various denoising techniques already exist, but deep learning (DL) methods have become increasingly popular for image quality enhancement.
Florence explains how she developed and evaluated an image-to-image CNN framework to predict higher quality images from noisier images acquired at lower radiation doses for both modalities.
Related technologies: PET, SPECT, CT
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