Super-iterative image reconstruction in PET

Galve, Pablo; Udı́as, J. M.; López-Montes, Alejandro; Herraiz, Joaquín L.

doi:10.1117/12.2534760

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…We have compared the PSF iterative reconstructions with a full Monte Carlo (MC) [43] reconstruction, which will be considered the gold standard reference. We will briefly describe the MC reconstruction.…”

Section: Monte Carlo Reconstructionmentioning

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: Monte Carlo Reconstructionmentioning

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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“…The main goal of this work is to present the Ultra-fast Monte Carlo PET simulator (UMC-PET), which has been partially introduced in conferences (Galve et al 2020a(Galve et al , 2021. UMC-PET presents a flexible and standardized framework to define the scanner geometry and the detectors; if you can voxelize it, you can simulate it.…”

Section: Introductionmentioning

confidence: 99%

“…Our voxelized framework offers unlimited simulation capabilities for these configurations. The versatility, speed and accuracy of the code positions UMC-PET on par with the aforementioned PET simulation software, enabling accurate estimation of performance parameters of scanners (including spatial resolution or sensitivity), with application to scanner design (Galve et al 2020b), or successful improvement of image reconstruction with different approaches, such as scatter correction (Galve et al 2022), optimization of the SRM (Arias-Valcayo et al 2023), or direct implementation of the simulator in the projection step of the reconstruction process (Galve et al 2021). UMC-PET is also able to accurately estimate performance parameters of scanners such as spatial resolution and sensitivity, with application to scanner design.…”

Section: Introductionmentioning

confidence: 99%

UMC-PET: a fast and flexible Monte Carlo PET simulator

Galve,

Arias-Valcayo,

Villa-Abaunza

et al. 2024

Phys. Med. Biol.

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Objective.The GPU-based Ultra-fast Monte Carlo Positron Emission Tomography simulator (UMC-PET) incorporates the physics of the emission, transport and detection of radiation in PET scanners. It includes positron range, non-colinearity, scatter and attenuation, as well as detector response. The objective of this work is to present and validate UMC-PET as a a multi-purpose, accurate, fast and flexible PET simulator. Approach. We compared UMC-PET against PeneloPET, a well-validated MC PET simulator, both in preclinical and clinical scenarios. Different phantoms for scatter fraction (SF) assessment following NEMA protocols were simulated in a 6R-SuperArgus and a Biograph mMR scanner, comparing energy histograms, NEMA SF, and sensitivity for different energy windows. A comparison with real data reported in the literature on the Biograph scanner is also shown.Main results. NEMA SF and sensitivity estimated by UMC-PET where within few percent of PeneloPET predictions. The discrepancies can be attributed to small differences in the physics modeling. Running in a 11 GB GeForce RTX 2080 Ti GPU, UMC-PET is ~1500 to ~2000 times faster than PeneloPET executing in a single core Intel(R) Xeon(R) CPU W-2155 @ 3.30GHz. Significance. UMC-PET employs a voxelized scheme for the scanner, patient adjacent objects (such as shieldings or the patient bed), and the activity distribution. This makes UMC-PET extremely flexible. Its high simulation speed allows applications such as MC scatter correction, faster system response matrix estimation for complex scanners, or even MC iterative image reconstruction.

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