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Amélioration de la quantification des images TEP à l’yttrium 90

Maël Millardet 1, 2, 3 
1 SIMS - Signal, IMage et Son
LS2N - Laboratoire des Sciences du Numérique de Nantes
2 CRCI2NA / Eq 2 - Nuclear Oncology
CRCI2NA - Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes-Angers
Abstract : Yttrium-90 PET imaging is becoming increasingly popular. However, the probability that decay of a yttrium-90 nucleus will lead to the emission of a positron is only 3.2 × 10−5, and the reconstructed images are therefore characterised by a high level of noise, as well as a positive bias in low activity regions. To correct these problems, classical methods use penalised algorithms or allow negative values in the image. However, a study comparing and combining these different methods in the specific context of yttrium-90 was still missing at the beginning of this thesis. This thesis, therefore, aims to fill this gap. Unfortunately, the methods allowing negative values cannot be used directly in a dosimetric study. Therefore, this thesis starts by proposing a new method of post-processing the images, aiming to remove the negative values while keeping the average values as locally as possible. A complete multi-objective analysis of these different methods is then proposed. This thesis ends by laying the foundations of what could become an algorithm providing a set of adequate reconstruction hyper-parameters from sinograms alone.
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Submitted on : Thursday, June 16, 2022 - 5:19:41 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM


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  • HAL Id : tel-03697381, version 1


Maël Millardet. Amélioration de la quantification des images TEP à l’yttrium 90. Imagerie médicale. École Centrale de Nantes, 2022. Français. ⟨tel-03697381⟩



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