Optimization, evaluation, and comparison of standard algorithms for image reconstruction with the VIP-PET

Mikhaylova, Ekaterina; Kolstein, M.; Lorenzo, G. De; Chmeissani, M.

doi:10.1088/1748-0221/9/07/c07004

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…To evaluate the imaging performance of the SSA-SPECT-1 system, we used a modified NEMA NU 4-2008 image quality phantom shown in figure 4 [18]. It was necessary to modify the NEMA phantom such that it can fit in the FOV of the SSA-SPECT designs.…”

Section: Nema Image Quality Phantommentioning

confidence: 99%

GATE simulation of a new design of pinhole SPECT system for small animal brain imaging

et al. 2017

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Small animal SPECT imaging has gained an increased interest over the past decade since it is an excellent tool for developing new drugs and tracers. Therefore, there is a huge effort on the development of cost-effective SPECT detectors with high capabilities. The aim of this study is to simulate the performance characteristics of new designs for a cost effective, stationary SPECT system dedicated to small animal imaging with a focus on mice brain. The conceptual design of this SPECT system platform, Stationary Small Animal SSA-SPECT, is to use many pixelated CsI:TI detector modules with 0.4 mm × 0.4 mm pixels in order to achieve excellent intrinsic detector resolution where each module is backed by a single pinhole collimator with 0.3 mm hole diameter. In this work, we present the simulation results of four variations of the SSA-SPECT platform where the number of detector modules and FOV size is varied while keeping the detector size and collimator hole size constant. Using the NEMA NU-4 protocol, we performed spatial resolution, sensitivity, image quality simulations followed by a Derenzo-like phantom evaluation. The results suggest that all four SSA-SPECT systems can provide better than 0.063% system sensitivity and < 1.5 mm FWHM spatial resolution without resolution recovery or other correction techniques. Specifically, SSA-SPECT-1 showed a system sensitivity of 0.09% in combination with 1.1 mm FWHM spatial resolution. K: Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc); Gamma camera, SPECT, PET PET/CT, coronary CT angiography (CTA); Gamma detectors (scintillators, CZT, HPG, HgI etc); Medical-image reconstruction methods and algorithms, computer-aided software 1Corresponding author.

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Section: Nema Image Quality Phantommentioning

confidence: 99%

GATE simulation of a new design of pinhole SPECT system for small animal brain imaging

et al. 2017

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“…In these cases, since the algorithm deals with LORs instead of cones, a straight forward ray-box intersection algorithm is used [12] to find the FOV bins corresponding to each event. The evaluation of this implementation showed excellent results [13,14].…”

Section: Lm-osemmentioning

confidence: 89%

Evaluation of list-mode ordered subset expectation maximization image reconstruction for pixelated solid-state compton gamma camera with large number of channels

2014

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The Voxel Imaging PET (VIP) Pathfinder project intends to show the advantages of using pixelated solid-state technology for nuclear medicine applications. It proposes designs for Positron Emission Tomography (PET), Positron Emission Mammography (PEM) and Compton gamma camera detectors with a large number of signal channels (of the order of 106). For Compton camera, especially with a large number of readout channels, image reconstruction presents a big challenge. In this work, results are presented for the List-Mode Ordered Subset Expectation Maximization (LM-OSEM) image reconstruction algorithm on simulated data with the VIP Compton camera design. For the simulation, all realistic contributions to the spatial resolution are taken into account, including the Doppler broadening effect. The results show that even with a straightforward implementation of LM-OSEM, good images can be obtained for the proposed Compton camera design. Results are shown for various phantoms, including extended sources and with a distance between the field of view and the first detector plane equal to 100 mm which corresponds to a realistic nuclear medicine environment.

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“…In all other cases and especially for all the images reported in this article, the iterative LM-OSEM algorithm is used, using an implementation developed by the authors [18]. An evaluation of this implementation and comparison with other image reconstruction algorithms can be found in [19].…”

Section: Image Reconstructionmentioning

confidence: 99%

Simulation of a semiconductor voxelized helmet brain PET scanner

Kolstein,

Chmeissani,

Saini

et al. 2024

J. Inst.

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Alzheimer's disease (AD) is a mental deterioration that severely impacts memory, disrupts brain functionality and induces physical changes to the brain. It is at present an incurable disease but a timely diagnosis of AD can help to slow down its progression. Invasive methods to collect cerebrospinal fluid (CSF) biomarkers are increasingly being used for the diagnosis of AD. Alternatively, because of the growing effort in trying to detect the early markers of AD, nowadays there are many neuroimaging projects developing non-invasive dedicated brain positron emission tomography (PET) scanners with a helmet shape. In this work, a helmet shaped brain PET is proposed with high spatial and energy resolutions, which could play a vital role in the early diagnosis of AD. It consists of highly 3D segmented detector modules with a density of more than 350 channels/cm3 and a seamless geometry based on trapezoidal-shaped modules equipped with semiconductor CdTe detectors. The proposed helmet brain PET scanner has an axial field-of-view (FOV) of 154 mm, and inner and outer radii of 133 mm and 206 mm respectively. Its performance has been evaluated via simulations based on NEMA protocols and compared to other brain PET scanners. Additionally, brain PET/CT images in DICOM format were used for a more realistic and stringent test of the imaging quality of the proposed PET scanner and the reconstruction of regional FDG uptakes. Results are presented that show that the proposed PET scanner can detect deviations in uptake of 2% or larger from a reference image.

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Optimization, evaluation, and comparison of standard algorithms for image reconstruction with the VIP-PET

Cited by 6 publications

References 14 publications

GATE simulation of a new design of pinhole SPECT system for small animal brain imaging

GATE simulation of a new design of pinhole SPECT system for small animal brain imaging

Evaluation of list-mode ordered subset expectation maximization image reconstruction for pixelated solid-state compton gamma camera with large number of channels

Simulation of a semiconductor voxelized helmet brain PET scanner

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