April 2025 - New Technique Enables Practical Parametric PET Imaging from Clinical Total-Body Scans

Assistant Project Scientist Siqi Li has developed a practical method for generating high-quality parametric images from clinical total-body scans without increasing scan time and costs. The approach, called the relative Patlak (RP) plot, eliminates the need for early-time input data traditionally required by the standard Patlak model. Combined with a self-supervised deep-kernel noise reduction method, the technique allows accurate tracer kinetics to be derived from short clinical scans.

In a study involving 22 human subjects, the RP method produced results closely matching the standard 1-hour Patlak analysis, while improving lesion contrast and even enabling detailed visualization of the heart. Clinical application to 20-minute scans from cancer patients further demonstrated its potential for routine use.

This breakthrough significantly enhances the practicality of total-body PET for dynamic imaging, opening the door to faster, more accessible, and potentially more informative scans in both research and clinical settings.

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