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Special Issue "X-ray Digital Radiography and Computed Tomography"

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Special Issue Information
Keywords
Published Papers

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: 30 September 2021.

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Special Issue Editors

Dr. Maria Pia Morigi
E-Mail Website

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Guest Editor

Department of Physics and Astronomy “Augusto Righi”, University of Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy
Interests: X-ray imaging; radiography; X-ray computed tomography; medical imaging; non-destructive testing; cultural heritage

Dr. Fauzia Albertin
E-Mail Website

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Guest Editor

Department of Physics and Astronomy “Augusto Righi”, University of Bologna, Viale Carlo Berti Pichat 6/2, 40127 Bologna, Italy
Interests: X-ray imaging; X-ray tomography; cutting-edge X-ray techniques; cultural heritage investigations; artworks; ancient manuscripts

Special Issue Information

Dear Colleagues,

X-ray imaging methods and techniques today play a key role in many research areas and applied studies of Physics and Engineering, and the potential of X-ray imaging has made radiography and computed tomography fundamental tools to gain knowledge in the most diverse fields, from medical diagnostics to the characterization of materials and industrial components, up to the evaluation of the state of conservation of a Cultural Heritage object.

The design and development of new detectors and X-ray sources and the increase of computing power have allowed us to obtain results that were once unthinkable in terms of image quality and spatial resolution, enabling the visualization of submicron details. Research in this field is highly active due to the multiple applications of X-ray imaging.

This Special Issue aims to bring expertise and competences in different fields of X-ray imaging together, covering the main branches of X-ray imaging and being suitable for a broad audience.

This Special Issue invites researchers to submit original research papers or review articles related to any discipline in which X-ray radiography and tomography are considered. The topics of interest include but are not limited to:

X-ray radiography;
X-ray computed tomography;
Micro-CT;
NDT—Nondestructive testing;
X-ray imaging in Cultural Heritage studies;
Medical Imaging;
Phase-contrast X-ray imaging;
Emerging X-ray imaging methods and instrumentations;
Cutting-edge technology for X-ray imaging;
X-ray microscopy;
Synchrotron radiation X-ray imaging;
New-generation X-ray sources;
Color tomography;
4D tomography;
Dissemination projects involving X-ray imaging and new technologies (animation, virtual and augmented reality, 3D printing, etc.).

Dr. Maria Pia Morigi
Dr. Fauzia Albertin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

X-ray imaging
radiography
X-ray computed tomography
micro-CT
synchrotron radiation X-ray imaging
phase-contrast X-ray imaging
X-ray detectors
X-ray sources

Published Papers (5 papers)

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Research

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Open AccessArticle

Noise Reduction for Single-Shot Grating-Based Phase-Contrast Imaging at an X-ray Backlighter

and

J. Imaging 2021, 7(9), 178; https://doi.org/10.3390/jimaging7090178 - 05 Sep 2021

Viewed by 380

Abstract

X-ray backlighters allow the capture of sharp images of fast dynamic processes due to extremely short exposure times. Moiré imaging enables simultaneously measuring the absorption and differential phase-contrast (DPC) of these processes. Acquiring images with one single shot limits the X-ray photon flux, which can result in noisy images. Increasing the photon statistics by repeating the experiment to gain the same image is not possible if the investigated processes are dynamic and chaotic. Furthermore, to reconstruct the DPC and transmission image, an additional measurement captured in absence of the object is required. For these reference measurements, shot-to-shot fluctuations in X-ray spectra and a source position complicate the averaging of several reference images for noise reduction. Here, two approaches of processing multiple reference images in combination with one single object image are evaluated regarding the image quality. We found that with only five reference images, the contrast-to-noise ratio can be improved by approximately 13% in the DPC image. This promises improvements for short-exposure single-shot acquisitions of rapid processes, such as laser-produced plasma shock-waves in high-energy density experiments at backlighter X-ray sources such as the PHELIX high-power laser facility. Full article

(This article belongs to the Special Issue X-ray Digital Radiography and Computed Tomography)

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Open AccessArticle

Suppression of Cone-Beam Artefacts with Direct Iterative Reconstruction Computed Tomography Trajectories (DIRECTT)

Sotirios Magkos

Andreas Kupsch

and

Giovanni Bruno

J. Imaging 2021, 7(8), 147; https://doi.org/10.3390/jimaging7080147 - 15 Aug 2021

Viewed by 397

Abstract

The reconstruction of cone-beam computed tomography data using filtered back-projection algorithms unavoidably results in severe artefacts. We describe how the Direct Iterative Reconstruction of Computed Tomography Trajectories (DIRECTT) algorithm can be combined with a model of the artefacts for the reconstruction of such [...] Read more.

(This article belongs to the Special Issue X-ray Digital Radiography and Computed Tomography)

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Open AccessArticle

CORONA-Net: Diagnosing COVID-19 from X-ray Images Using Re-Initialization and Classification Networks

Sherif Elbishlawi

Mohamed H. Abdelpakey

Mohamed S. Shehata

and

Mostafa M. Mohamed

J. Imaging 2021, 7(5), 81; https://doi.org/10.3390/jimaging7050081 - 28 Apr 2021

Cited by 1 | Viewed by 700

Abstract

The COVID-19 pandemic has been deemed a global health pandemic. The early detection of COVID-19 is key to combating its outbreak and could help bring this pandemic to an end. One of the biggest challenges in combating COVID-19 is accurate testing for the disease. Utilizing the power of Convolutional Neural Networks (CNNs) to detect COVID-19 from chest X-ray images can help radiologists compare and validate their results with an automated system. In this paper, we propose a carefully designed network, dubbed CORONA-Net, that can accurately detect COVID-19 from chest X-ray images. CORONA-Net is divided into two phases: (1) The reinitialization phase and (2) the classification phase. In the reinitialization phase, the network consists of encoder and decoder networks. The objective of this phase is to train and initialize the encoder and decoder networks by a distribution that comes out of medical images. In the classification phase, the decoder network is removed from CORONA-Net, and the encoder network acts as a backbone network to fine-tune the classification phase based on the learned weights from the reinitialization phase. Extensive experiments were performed on a publicly available dataset, COVIDx, and the results show that CORONA-Net significantly outperforms the current state-of-the-art networks with an overall accuracy of 95.84%. Full article

(This article belongs to the Special Issue X-ray Digital Radiography and Computed Tomography)

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Review

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Open AccessReview

Micro-CT for Biological and Biomedical Studies: A Comparison of Imaging Techniques

Kleoniki Keklikoglou

Christos Arvanitidis

Georgios Chatzigeorgiou

Eva Chatzinikolaou

Efstratios Karagiannidis

Triantafyllia Koletsa

Antonios Magoulas

Konstantinos Makris

George Mavrothalassitis

Eleni-Dimitra Papanagnou

Andreas S. Papazoglou

and

J. Imaging 2021, 7(9), 172; https://doi.org/10.3390/jimaging7090172 - 01 Sep 2021

Viewed by 312

Abstract

Several imaging techniques are used in biological and biomedical studies. Micro-computed tomography (micro-CT) is a non-destructive imaging technique that allows the rapid digitisation of internal and external structures of a sample in three dimensions and with great resolution. In this review, the strengths and weaknesses of some common imaging techniques applied in biological and biomedical fields, such as optical microscopy, confocal laser scanning microscopy, and scanning electron microscopy, are presented and compared with the micro-CT technique through five use cases. Finally, the ability of micro-CT to create non-destructively 3D anatomical and morphological data in sub-micron resolution and the necessity to develop complementary methods with other imaging techniques, in order to overcome limitations caused by each technique, is emphasised. Full article

(This article belongs to the Special Issue X-ray Digital Radiography and Computed Tomography)

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Open AccessReview

Imaging with Coherent X-rays: From the Early Synchrotron Tests to SYNAPSE

Giorgio Margaritondo

and

Yeukuang Hwu

J. Imaging 2021, 7(8), 132; https://doi.org/10.3390/jimaging7080132 - 04 Aug 2021

Viewed by 300

Abstract

The high longitudinal and lateral coherence of synchrotron X-rays sources radically transformed radiography. Before them, the image contrast was almost only based on absorption. Coherent synchrotron sources transformed radiography into a multi-faceted tool that can extract information also from “phase” effects. Here, we report a very simple description of the new techniques, presenting them to potential new users without requiring a sophisticated background in advanced physics. We then illustrate the impact of such techniques with a number of examples. Finally, we present the international collaboration SYNAPSE (Synchrotrons for Neuroscience—an Asia-Pacific Strategic Enterprise), which targets the use of phase-contrast radiography to map one full human brain in a few years. Full article

(This article belongs to the Special Issue X-ray Digital Radiography and Computed Tomography)

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