Optimizing Image Quantification for 177 Lu SPECT/CT Based on a 3D Printed 2-Compartment Kidney Phantom

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
Johannes Tran-Gia, Michael Lassmann

Abstract

The aim of this work was to find an optimal setup for activity determination of 177Lu-based SPECT/CT imaging reconstructed with 2 commercially available methods (xSPECT Quant and Flash3D). For this purpose, 3-dimensional (3D)-printed phantoms of different geometries were manufactured, different partial-volume correction (PVC) methods were applied, and the accuracy of the activity determination was evaluated. Methods: A 2-compartment kidney phantom (70% cortical and 30% medullary compartment), a sphere, and an ellipsoid of equal volumes were 3D printed, filled with 177Lu, and scanned with a SPECT/CT system. Reconstructions were performed with xSPECT and Flash3D. Different PVC methods were applied to find an optimal quantification setup: method 1 was a geometry-specific recovery coefficient based on the 3D printing model, method 2 was a geometry-specific recovery coefficient based on the low-dose CT scan, method 3 was an enlarged volume of interest including spilled-out counts, method 4 was activity concentration in the peak milliliter applied to the entire CT-based volume, and method 5 was a fixed threshold of 42% of the maximum in a large volume containing the object of interest. Additionally, the influence of postreconstructio...Continue Reading

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Jul 23, 2016·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Johannes Tran-GiaMichael Lassmann

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Citations

Jul 7, 2018·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Johannes Tran-Gia, Michael Lassmann
Jul 14, 2018·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Michael Lassmann, Uta Eberlein
Dec 22, 2019·Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine·Johannes Tran-GiaMichael Lassmann
Aug 20, 2021·EJNMMI Physics·Michaella MorphisMichael Ljungberg

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