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How to harmonize SUVs obtained by hybrid PET/CT scanners with and without point spread function correction
Alice Ferretti1,2,3, Sotirios Chondrogiannis4,3, Lucia Rampin4
1Medical Physics Unit, Santa Maria della Misericordia Hospital, Rovigo, Italy.
A new post-reconstruction algorithm harmonizes standardized uptake values (SUV) across different positron emission tomography/computed tomography (PET/CT) scanners. This single reconstruction method improves lesion detection and quantitative accuracy, avoiding the need for dual reconstructions.
Area of Science:
- Nuclear Medicine Imaging
- Medical Physics
- Radiochemistry
Background:
- State-of-the-art point-spread function (PSF) corrections in PET/CT improve image quality but increase standardized uptake values (SUV) compared to OSEM reconstruction.
- The EANM recommends dual reconstructions for lesion detection and quantitative analysis, posing workflow challenges.
- Quantitative accuracy in PET/CT is crucial for treatment monitoring and clinical trials.
Purpose of the Study:
- To investigate an alternative methodology using a single reconstruction dataset with a post-reconstruction algorithm for SUV harmonization.
- To evaluate the effectiveness of a dedicated post-reconstruction algorithm (EQ-filter) in harmonizing quantitative values between different PET/CT scanners.
- To validate phantom and patient data to confirm the general applicability of the proposed methodology.
Main Methods:
- Data acquisition on Siemens Biograph mCT (lutetium oxyorthosilicate crystals, PSF, TOF) and GE Discovery STE (BGO crystals) PET/CT systems.
- Comparison of EANM double reconstruction method with a post-reconstruction EQ-filter algorithm for SUV harmonization.
- Phantom studies using NEMA IQ and Jaszczak phantoms with varying lesion-to-background ratios, followed by validation on seven oncologic patients with small lesion analysis (0.3-2.6 cm).
Main Results:
- PSF reconstruction resulted in SUV recovery deviations from 16% to 150% compared to OSEM.
- The EQ-filter and double-reconstruction methods reduced discrepancies to below 7%.
- Patient data analysis confirmed phantom findings, with the EQ-filter effectively harmonizing SUV values across scanners (p < 0.05).
Conclusions:
- The EQ-filter provides an effective method for harmonizing SUV values between different PET/CT scanners using a single reconstruction.
- This approach optimizes for maximum lesion detectability while ensuring quantitative accuracy, thereby avoiding the need for a second reconstruction.
- The EQ-filter offers a practical solution for standardized quantitative analysis in multi-center PET/CT studies.
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