L. Silberbauer

Open-access template and database approaches for pseudo-CT generation in brain PET/MRI attenuation correction

The paper presents an open-access framework for PET attenuation correction using pseudo-CT methods with a database of MRI-CT scans, showing that UCL achieves the lowest quantification error.

High-temporal resolution metabolic connectivity resolved by component-based noise correction

This paper develops a noise correction method for high-temporal resolution fPET data, showing it improves metabolic connectivity estimation across different scanners and frequency bands.

Optimal filtering strategies for task-specific functional PET imaging

This study evaluates filtering techniques for fPET data, finding that dNLM and MRI-MRF filters improve signal-to-noise ratio and test-retest reliability, with dNLM reducing sample size needs.

Connecting the Dots: Approaching a Standardized Nomenclature for Molecular Connectivity Combining Data and Literature

The paper introduces a standardized nomenclature for PET-based molecular connectivity and covariance to improve reproducibility and interpretation across imaging modalities and radiotracers.

Non-invasive assessment of stimulation-specific changes in cerebral glucose metabolism with functional PET

This paper introduces a method to assess cerebral glucose metabolism changes during tasks without blood sampling, using GLM beta values and percent signal change, showing strong correlation with standard CMRGlu measurements.