Anatomy-based correction of kidney PVE on $$^{177}\text{Lu}$$ SPECT images
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Published:2024-02-06
Issue:1
Volume:11
Page:
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ISSN:2197-7364
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Container-title:EJNMMI Physics
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language:en
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Short-container-title:EJNMMI Phys
Author:
Salvadori JulienORCID, Allegrini Oreste, Opsommer Thomas, Carullo Josefina, Sarrut David, Porot Clemence, Ritzenthaler Florian, Meyer Philippe, Namer Izzie-Jacques
Abstract
Abstract
Background
In peptide receptor radionuclide therapy (PRRT), accurate quantification of kidney activity on post-treatment SPECT images paves the way for patient-specific treatment. Due to the limited spatial resolution of SPECT images, the partial volume effect (PVE) is a significant source of quantitative bias. In this study, we aimed to evaluate the performance and robustness of anatomy-based partial volume correction (PVC) algorithms to recover the accurate activity concentration of realistic kidney geometries on $$^{177}$$
177
Lu SPECT images recorded under clinical conditions.
Methods
Based on the CT scan data from patients, three sets of fillable kidneys with surface-to-volume (S:V) ratios ranging from 1.5 to 2.8 cm−1, were 3D printed and attached in a IEC phantom. Quantitative $$^{177}$$
177
Lu SPECT/CT acquisitions were performed on a GE Discovery NM CT 870 DR camera for the three modified IEC phantoms and for 6 different Target-To-Background ratios (TBRs: 2, 4, 6, 8, 10, 12). Two region-based (GTM and Labbé) and five voxel-based (GTM + MTC, Labbé + MTC, GTM + RBV, Labbé + RBV and IY) methods were evaluated with this data set. Additionally, the robustness of PVC methods to Point Spread Function (PSF) discrepancies, registration mismatches and background heterogeneity was evaluated.
Results
Without PVC, the average kidney RCs across all TBRs ranged from 0.66 ± 0.05 (smallest kidney) to 0.80 ± 0.03 (largest kidney). For a TBR of 12, all anatomy-based method were able to recover the kidneys activity concentration with an error < 6%. All methods result in a comparable decline in RC restoration with decreasing TBR. The Labbé method was the most robust against PSF and registration mismatches but was also the most sensitive to background heterogeneity. Among the voxel-based methods, MTC images were less uniform than RBV and IY images at the outer edge of high uptake areas (kidneys and spheres).
Conclusion
Anatomy-based PVE correction allows for accurate SPECT quantification of the $$^{177}$$
177
Lu activity concentration with realistic kidney geometries. Combined with recent progress in deep-learning algorithms for automatic anatomic segmentation of whole-body CT, these methods could be of particular interest for a fully automated OAR dosimetry pipeline with PVE correction.
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Radiation
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