Trends in Radiation Dosimetry: preliminary overview of active growth areas, research trends and hot topics from 2011-2015

Baldock, Clive

doi:10.1088/1742-6596/777/1/012030

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Compartmental models are the most common tracer kinetic model used in PET, which simplifies biological systems and re-quires extensive biochemical studies to define them for practical use [5]. Concerning the fact that the impact of the mathematical formulations of the biokinetic model on dose estimation is important, many modifications and assumptions have been made to increase the accuracy of patient dosimetry [6].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Prospective Multiple Time Points F-18 FDG PET Images from a Single Scan Using a Supervised Generative Adversarial Network

Karimipourfard

Sina²,

Shoshtari

et al. 2023

Nuklearmedizin

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The cumulative activity map estimation are essential tools for patient specific dosimetry with high accuracy, which is estimated using biokinetic models instead of patient dynamic data or the number of static PET scans, owing to economical and time-consuming points of view. In the era of deep learning applications in medicine, the pix-to-pix (p2 p) GAN neural networks play a significant role in image translation between imaging modalities. In this pilot study, we extended the p2 p GAN networks to generate PET images of patients at different times according to a 60 min scan time after the injection of F-18 FDG. In this regard, the study was conducted in two sections: phantom and patient studies. In the phantom study section, the SSIM, PSNR, and MSE metric results of the generated images varied from 0.98–0.99, 31–34 and 1–2 respectively and the fine-tuned Resnet-50 network classified the different timing images with high performance. In the patient study, these values varied from 0.88–0.93, 36–41 and 1.7–2.2, respectively and the classification network classified the generated images in the true group with high accuracy. The results of phantom studies showed high values of evaluation metrics owing to ideal image quality conditions. However, in the patient study, promising results were achieved which showed that the image quality and training data number affected the network performance. This study aims to assess the feasibility of p2 p GAN network application for different timing image generation.

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Section: Introductionmentioning

confidence: 99%

Synthesis of Prospective Multiple Time Points F-18 FDG PET Images from a Single Scan Using a Supervised Generative Adversarial Network

Karimipourfard

Sina²,

Shoshtari

et al. 2023

Nuklearmedizin

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MOS Dosimeter Based on Ge Nanocrystals in Hfo<inf>2</inf>

Palade

Slav

Lepadatu

et al. 2018

2018 International Semiconductor Conference (CAS)

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Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities

et al. 2023

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Among the most relevant themes of modernity, using renewable resources to produce biofuels attracts several countries’ attention, constituting a vital part of the global geopolitical chessboard since humanity’s energy needs will grow faster and faster. Fortunately, advances in personal computing associated with free and open-source software production facilitate this work of prospecting and understanding complex scenarios. Thus, for the development of this work, the keywords “biofuel” and “nanocatalyst” were delivered to the Scopus database, which returned 1071 scientific articles. The titles and abstracts of these papers were saved in Research Information Systems (RIS) format and submitted to automatic analysis via the Visualization of Similarities Method implemented in VOSviewer 1.6.18 software. Then, the data extracted from the VOSviewer were processed by software written in Python, which allowed the use of the network data generated by the Visualization of Similarities Method. Thus, it was possible to establish the relationships for the pair between the nodes of all clusters classified by Link Strength Between Items or Terms (LSBI) or by year. Indeed, other associations should arouse particular interest in the readers. However, here, the option was for a numerical criterion. However, all data are freely available, and stakeholders can infer other specific connections directly. Therefore, this innovative approach allowed inferring that the most recent pairs of terms associate the need to produce biofuels from microorganisms’ oils besides cerium oxide nanoparticles to improve the performance of fuel mixtures by reducing the emission of hydrocarbons (HC) and oxides of nitrogen (NOx).

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Trends in Radiation Dosimetry: preliminary overview of active growth areas, research trends and hot topics from 2011-2015

Cited by 3 publications

References 10 publications

Synthesis of Prospective Multiple Time Points F-18 FDG PET Images from a Single Scan Using a Supervised Generative Adversarial Network

Synthesis of Prospective Multiple Time Points F-18 FDG PET Images from a Single Scan Using a Supervised Generative Adversarial Network

MOS Dosimeter Based on Ge Nanocrystals in Hfo<inf>2</inf>

Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities

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