Influence of Multiple Animal Scanning on Image Quality for the Sedecal SuperArgus2R Preclinical PET Scanner

Efthimiou, Nikos; Wright, John D.; Clayton, Luke; Renard, Isaline; Zagni, Federico; Caribé, Paulo Rauli Rafeson De Vasconcelos; Archibald, Stephen J.; Cawthorne, Christopher

doi:10.3389/fphy.2020.531662

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…Preclinical positron emission tomography (PET) scanners with extended Field of View (FOV) offer the capability to image multiple animals simultaneously, leading to cost reduction and enhanced radiotracer efficiency [1,2]. Due to the fact that the animals may be placed far from the center of the field of view (FOV), uniform image resolution and general image quality across the FOV is paramount [3][4][5][6]. This work proposes an algorithm to improve the resolution uniformity of reconstructed images, enabling multianimal imaging.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of multi-animal PET acquisitions with anisotropically variant PSF

Arias-Valcayo,

Galve,

Herraiz

et al. 2023

Biomed. Phys. Eng. Express

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Among other factors such as random, attenuation and scatter corrections, uniform spatial resolution is key to performing accurate quantitative studies in Positron emission tomography (PET). Particularly in preclinical PET studies involving simultaneous acquisition of multiple animals, the degradation of image resolution due to the depth of interaction (DOI) effect far from the center of the Field of View (FOV) becomes a significant concern. In this work, we incorporated a spatially-variant resolution model into a real time iterative reconstruction code to obtain accurate images of multi-animal acquisition. We estimated the spatially variant point spread function (SV-PSF) across the FOV using measurements and Monte Carlo (MC) simulations. The SV-PSF obtained was implemented in a GPU-based Ordered subset expectation maximization (OSEM) reconstruction code, which includes scatter, attenuation and random corrections. The method was evaluated with acquisitions from two preclinical PET/CT scanners of the SEDECAL Argus family: a Derenzo phantom placed 2 cm off center in the 4R-SuperArgus, and a multi-animal study with 4 mice in the 6R-SuperArgus. The SV-PSF reconstructions showed uniform spatial resolution without significant increase in reconstruction time, with superior image quality compared to the uniform PSF model.

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Section: Introductionmentioning

confidence: 99%

Reconstruction of multi-animal PET acquisitions with anisotropically variant PSF

Arias-Valcayo,

Galve,

Herraiz

et al. 2023

Biomed. Phys. Eng. Express

View full text Add to dashboard Cite

show abstract

Animal PET scanner with a large field of view is suitable for high-throughput scanning of rodents

Tomonari,

Onishi,

Hashimoto

et al. 2024

Ann Nucl Med

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PET imaging and quantification of small animals using a clinical SiPM-based camera

Desmonts,

Lasnon,

Jaudet

et al. 2023

EJNMMI Phys

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Background Small-animal PET imaging is an important tool in preclinical oncology. This study evaluated the ability of a clinical SiPM-PET camera to image several rats simultaneously and to perform quantification data analysis. Methods Intrinsic spatial resolution was measured using 18F line sources, and image quality was assessed using a NEMA NU 4-2018 phantom. Quantification was evaluated using a fillable micro-hollow sphere phantom containing 4 spheres of different sizes (ranging from 3.95 to 7.86 mm). Recovery coefficients were computed for the maximum (Amax) and the mean (A50) pixel values measured on a 50% isocontour drawn on each sphere. Measurements were performed first with the phantom placed in the centre of the field of view and then in the off-centre position with the presence of three scattering sources to simulate the acquisition of four animals simultaneously. Quantification accuracy was finally validated using four 3D-printed phantoms mimicking rats with four subcutaneous tumours each. All experiments were performed for both 18F and 68Ga radionuclides. Results Radial spatial resolutions measured using the PSF reconstruction algorithm were 1.80 mm and 1.78 mm for centred and off-centred acquisitions, respectively. Spill-overs in air and water and uniformity computed with the NEMA phantom centred in the FOV were 0.05, 0.1 and 5.55% for 18F and 0.08, 0.12 and 2.81% for 68Ga, respectively. Recovery coefficients calculated with the 18F-filled micro-hollow sphere phantom for each sphere varied from 0.51 to 1.43 for Amax and from 0.40 to 1.01 for A50. These values decreased from 0.28 to 0.92 for Amax and from 0.22 to 0.66 for A50 for 68 Ga acquisition. The results were not significantly different when imaging phantoms in the off-centre position with 3 scattering sources. Measurements performed with the four 3D-printed phantoms showed a good correlation between theoretical and measured activity in simulated tumours, with r2 values of 0.99 and 0.97 obtained for 18F and 68Ga, respectively. Conclusion We found that the clinical SiPM-based PET system was close to that obtained with a dedicated small-animal PET device. This study showed the ability of such a system to image four rats simultaneously and to perform quantification analysis for radionuclides commonly used in oncology.

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Influence of Multiple Animal Scanning on Image Quality for the Sedecal SuperArgus2R Preclinical PET Scanner

Cited by 3 publications

References 34 publications

Reconstruction of multi-animal PET acquisitions with anisotropically variant PSF

Reconstruction of multi-animal PET acquisitions with anisotropically variant PSF

Animal PET scanner with a large field of view is suitable for high-throughput scanning of rodents

PET imaging and quantification of small animals using a clinical SiPM-based camera

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