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Similarity-Driven Fine-Tuning Methods for Regularization Parameter Optimization in PET Image Reconstruction

We present an adaptive method for fine-tuning hyperparameters in edge-preserving regularization for PET image reconstruction. For edge-preserving regularization, in addition to the smoothing parameter that balances data fidelity and regularization, one or more control parameters are typically incorp...

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Detalles Bibliográficos
Principais autores: Wen Zhu, Soo-Jin Lee
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2023-06-01
Series:Sensors
Assuntos:
Acceso en liña:https://www.mdpi.com/1424-8220/23/13/5783
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