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Updated: Dec 6, 2025

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Mapping Absolute DNA Density in Cell Nuclei using Single-molecule Localization Microscopy
Published on: November 11, 2025
543
A local-neighborhood Lassen plot filter for creating occupancy and non-displaceable binding images
Bart de Laat1, Evan D Morris1,2,3,4
1Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
Summary
The Lassen plot filter accurately estimates drug occupancy in PET imaging, even with spatial variations. This new method provides unbiased receptor occupancy measurements without user intervention.
Area of Science:
- Neuroimaging
- Pharmacology
- Biophysics
Background:
- The Lassen plot is a method for estimating receptor occupancy by drugs using PET imaging when a reference region is unavailable.
- Spatial variations in binding potential can introduce bias in traditional Lassen plot analyses.
- Developing methods to accurately assess drug occupancy in the presence of spatial heterogeneity is crucial for quantitative PET imaging.
Purpose of the Study:
- To introduce and validate a Lassen plot filter for robust estimation of drug-induced receptor occupancy in PET imaging.
- To overcome the limitations of the conventional Lassen plot in handling spatial variations in binding potential.
- To compare the performance of the Lassen plot filter against conventional methods using simulated and real PET data.
Main Methods:
- Simulated PET image data with controlled regional variations in binding potential and non-specific binding were generated.
- The Lassen plot filter was applied to local neighborhoods within PET images at both region of interest (ROI) and voxel levels.
- Performance was evaluated by comparing estimates from the Lassen plot filter, conventional Lassen plot, and change in binding potential (BPND) in simulated and [11C]flumazenil human PET studies.
Main Results:
- The Lassen plot filter provided unbiased estimates of receptor occupancy, even with regional variations in binding potential or non-specific binding.
- Conventional Lassen plot and BPND methods showed bias in the presence of spatial heterogeneity.
- Analysis of human [11C]flumazenil data demonstrated regional variations in occupancy consistent with radioligand and drug distribution.
Conclusions:
- The local-neighborhood Lassen plot filter offers a robust and unbiased approach for estimating drug receptor occupancy from PET data.
- This method eliminates the need for user intervention, improving the reliability of quantitative PET analyses.
- The Lassen plot filter is a valuable tool for accurate assessment of drug effects in neuroimaging studies.
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