X-ray Digital Radiography and Computed Tomography

Morigi, Maria Pia; Albertin, Fauzia

doi:10.3390/jimaging8050119

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…It is readily available, and common, and is widely used in diagnosis and inspection. Of the numerous computed tomography methods based on physical phenomena such as electrical resistivity tomography (ERT) [4], electrical capacitance tomography (ECT) [3], electrical impedance tomography (EIT) [2], radio wave tomography and localization [5], X-ray tomography [6] or magnetism tomography [7], ultrasound tomography (UST) [8] is a commonly used method in medicine and industry [9,10]. UST is an imaging technique that exploits the properties of acoustic wave transmittance through tissues and materials [11].…”

Section: Introductionmentioning

confidence: 99%

Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

et al. 2023

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This study addresses the issue of energy optimization by investigating solutions for the reduction of energy consumption in the diagnostics and monitoring of technological processes. The implementation of advanced process control is identified as a key approach for achieving energy savings and improving product quality, process efficiency, and production flexibility. The goal of this research is to develop a cost-effective system with a minimal number of ultrasound sensors, thus reducing the energy consumption of the overall system. To accomplish this, a novel method for obtaining high-resolution reconstruction in transmission ultrasound tomography (t-UST) is proposed. The method involves utilizing a convolutional neural network to take low-resolution measurements as input and output high-resolution sinograms that are used for tomography image reconstruction. This approach allows for the construction of a super-resolution sinogram by utilizing information hidden in the low-resolution measurement. The model is trained on simulation data and validated on real measurement data. The results of this technique demonstrate significant improvement compared to state-of-the-art methods. The study also highlights that UST measurements contain more information than previously thought, and this hidden information can be extracted and utilized with the use of machine learning techniques to further improve image quality and object recognition.

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Section: Introductionmentioning

confidence: 99%

Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

et al. 2023

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“…The role of diagnostic imaging in the diagnosis and treatment of disease is very important. Different techniques and tools are used in radiology in order to provide information and visualize the inner body of a patient [1,2]. Nevertheless, the human body may suffer harm from exposure to the radiation used in X-rays, specifically in children, due to their underdeveloped organs and tissues.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Pediatric Head CT Scan Dose Levels: A Retrospective Study of Diagnostic Reference Levels in a Single Hospital in Abu Dhabi, UAE

et al. 2023

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Diagnostic reference levels (DRLs) are critical operational standards for monitoring radiological imaging parameters and ensuring patient safety in hospitals. A regular review of DRLs is necessary to optimize scanners and protocol parameters. This retrospective study collected data on the CT dose index volume and dose–length product for 250 children who underwent head CT scans in the region of Abu Dhabi, United Arab Emirates. Descriptive statistics were used to present median, range, and interquartile range values for each pediatric age group, based on region and protocol. The 75th percentile was used as the reference point for local DRLs. Proposed values of DRLs were suggested per age groups; 304 mGy∙cm (children < 1 year), 385 mGy∙cm (children ≥ 1 year to <5 years), 441 mGy∙cm (children ≥ 5 years to <10 years), and 568 mGy∙cm (patients ≥ 10 years to <16 years. A comparison of the local DRLs with previously established ones was carried out, and differences were discussed. To the best of our knowledge, this is the first study on pediatric head CT scans in this region. We believe the results can be used as a baseline for establishing local DRLs in the Emirate of Abu Dhabi and national DRLs in the United Arab Emirates.

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A Comparative Analysis of Different Diagnostic Imaging Modalities

Kumar¹,

Poddar²,

Rastogi³

et al. 2023

Emerging Trends in Expert Applications and Security

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X-ray Digital Radiography and Computed Tomography

Abstract: In recent years, X-ray imaging has rapidly grown and spread beyond the medical field; today, it plays a key role in diverse research areas [...]

Cited by 5 publications

References 23 publications

Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

Energy Reduction with Super-Resolution Convolutional Neural Network for Ultrasound Tomography

Monitoring Pediatric Head CT Scan Dose Levels: A Retrospective Study of Diagnostic Reference Levels in a Single Hospital in Abu Dhabi, UAE

A Comparative Analysis of Different Diagnostic Imaging Modalities

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