Special Issue "Image Quality and Radiation Dose"

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Medical Imaging".

Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 1413

Special Issue Editor

Medical Radiation Science, School of Dentistry and Medical Sciences, Faculty of Science and Health, Charles Sturt University, Wagga Wagga, NSW 2678, Australia
Interests: image quality and radiation dose optimization; quantitative computed tomography; computer-assisted diagnosis

Special Issue Information

Dear Colleagues,

X-ray or gamma rays are the most common sources employed in medical imaging. Imaging modalities, such as CT, including CBCT, SPECT, PET and radiographic imaging, including general radiography, mammography and dental OPG, are among the most popular diagnostic tools employed in everyday clinical practice. The benefits of using these imaging technologies are tremendous for patient diagnosis and management. However, X-ray and gamma rays are ionizing radiation, and so there is a risk of causing cancer to patients and health workers. Reducing radiation doses to patients whilst maintaining diagnostic image quality is critical for the health of patients and the public. An extensive amount of research has been carried out in recent years, and significant dose reduction and image quality improvements have been achieved in medical imaging modalities using ionizing radiation. Keeping radiation doses as low as reasonably achievable, or using the ALARA principle, requires continuous effort in optimizing image quality and radiation doses in medical imaging.

We invite contributions regarding research advancements in reducing radiation doses to patients and improving image quality for diagnosis, both at the practical and fundamental science level. These include clinical task-based image quality assessments and accurate dose measurements in the regime of diagnostic imaging.

Dr. Xiaoming Zheng
Guest Editor

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 submissions that pass pre-check are 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

  • image quality improvement and assessment
  • radiation dose reduction and measurement
  • radiation dose and image quality optimization
  • radiographic imaging
  • computed tomography
  • cone beam CT
  • mammography
  • dental CBCT and OPG
  • nuclear imaging SPECT/PET
  • dose reference levels in imaging practice

Published Papers (1 paper)

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Research

Article
The Impacts of Vertical Off-Centring, Localiser Direction, Phantom Positioning and Tube Voltage on CT Number Accuracy: An Experimental Study
J. Imaging 2022, 8(7), 175; https://doi.org/10.3390/jimaging8070175 - 21 Jun 2022
Viewed by 936
Abstract
Background: This study investigates the effects of vertical off-centring, localiser direction, tube voltage, and phantom positioning (supine and prone) on computed tomography (CT) numbers and radiation dose. Methods: An anthropomorphic phantom was scanned using a Discovery CT750 HD—128 slice (GE Healthcare) scanner at [...] Read more.
Background: This study investigates the effects of vertical off-centring, localiser direction, tube voltage, and phantom positioning (supine and prone) on computed tomography (CT) numbers and radiation dose. Methods: An anthropomorphic phantom was scanned using a Discovery CT750 HD—128 slice (GE Healthcare) scanner at different tube voltages (80, 120, and 140 kVp). Images employing 0° and 180° localisers were acquired in supine and prone positions for each vertical off-centring (±100, ±60, and ±30 mm from the iso-centre). CT numbers and displayed volume CT dose index (CTDIvol) were recorded. The relationship between dose variation and CT number was investigated. Results: The maximum changes in CT number between the two phantom positions as a function of vertical-off-centring were for the upper thorax 34 HU (0° localiser, 120 kVp), mid thorax 43 HU (180° localiser, 80 kVp), and for the abdominal section 31 HU (0° localiser, 80 kVp) in the prone position. A strong positive correlation was reported between the variation in dose and CT number (r = 0.969, p < 0.001); 95% CI (0.93, 0.99). Conclusions: Patient positioning demands an approach with a high degree of accuracy, especially in cases where clinical decisions depend on CT number accuracy for tissue lesion characterisation. Full article
(This article belongs to the Special Issue Image Quality and Radiation Dose)
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