Super-Iterative Image Reconstruction in PET

Galve, Pablo; Udı́as, J. M.; López-Montes, Alejandro; Arias-Valcayo, Fernando; Vaquero, J.J.; Desco, Manuel; Herraiz, Joaquín L.

doi:10.1109/tci.2021.3059107

Cited by 6 publications

(3 citation statements)

References 42 publications

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“…Given that one of the key goals of UMC-PET was to facilitate image reconstruction through rapid simulations (e.g. scatter correction estimation, as discussed in Galve et al (2022), or the implementation of the simulator in the projection step of the reconstruction, as presented in Galve et al (2021)), we decided to rely the sorting step of the code outside of the GPU. This choice avoids sorting coincidences in the GPU.…”

Section: Discussionmentioning

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%

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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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Section: Discussionmentioning

confidence: 99%

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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“…The PSF is a widely used method for SRM modeling [187], consisting of either image or projection blurring kernels applied as a convolution operation. These methods are fast, and they allow for on-the-fly calculations that drastically reduce the storage requirements of a precomputed SRM [156,188,189]. For this reason, they have been usually combined with experimental or MC estimations of the SRM to optimize the computational performance.…”

Section: Iterative Methodsmentioning

confidence: 99%

Recent advances in combined Positron Emission Tomography and Magnetic Resonance Imaging

Galve,

Rodriguez-Vila,

Herraiz

et al. 2024

J. Inst.

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Hybrid imaging modalities combine two or more medical imaging techniques offering exciting new possibilities to image the structure, function and biochemistry of the human body in far greater detail than has previously been possible to improve patient diagnosis. In this context, simultaneous Positron Emission Tomography and Magnetic Resonance (PET/MR) imaging offers great complementary information, but it also poses challenges from the point of view of hardware and software compatibility. The PET signal may interfere with the MR magnetic field and vice-versa, posing several challenges and constrains in the PET instrumentation for PET/MR systems. Additionally, anatomical maps are needed to properly apply attenuation and scatter corrections to the resulting reconstructed PET images, as well motion estimates to minimize the effects of movement throughout the acquisition. In this review, we summarize the instrumentation implemented in modern PET scanners to overcome these limitations, describing the historical development of hybrid PET/MR scanners. We pay special attention to the methods used in PET to achieve attenuation, scatter and motion correction when it is combined with MR, and how both imaging modalities may be combined in PET image reconstruction algorithms.

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