Innovative Approaches for Medical Imaging and Radiation Therapy

A special issue of Radiation (ISSN 2673-592X).

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 3180

Special Issue Editors


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Guest Editor
Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW 2522, Australia
Interests: Monte Carlo; radiation physics; radiation therapy; radiation protection

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Guest Editor
Bordeaux University, CNRS/IN2P3, CENBG, UMR 5797, 33170 Gradignan, France
Interests: Monte Carlo; Geant4-DNA; Geant4; radiation biophysics
Special Issues, Collections and Topics in MDPI journals
Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06511, USA
Interests: Monte Carlo; Geant4; proton and particle therapy; radiobiology; microdosimetry

Special Issue Information

Dear Colleagues,

Ionizing radiation technologies have been widely applied in the medical field for over a century, mainly in diagnostic imaging and radiation therapy. Advances in imaging and therapy techniques and the development of new radiation modalities have provided healthcare professionals multiple options to diagnose and treat cancer patients more effectively than ever before. Clinical outcomes, particularly for disease sites that were previously difficult to detect or treat, have been dramatically improved by innovative technologies. However, the introduction of new technologies, i.e., the high-tech and high-precision auxiliary equipment in addition to the irradiation machines, has made the entire radiation imaging and treatment system increasingly complicated. A direct impact is that the technological innovations have also increased the challenges for practitioners, especially for medical physicists, whose clinical responsibilities have been increasingly expanded. Nevertheless, these challenges also provide new research opportunities to further improve clinical outcomes. The aim of this Special Issue in Radiation is to provide an up-to-date overview of innovations in experimental techniques, computational methods and instrumentation for diagnostic imaging and radiation therapy. Topics related to solving current challenges in clinical dosimetry and imaging are welcome and include, but are not limited to, the following. The Monte Carlo methods are of extraordinary importance because they can be applied in almost any radiation-related work, especially helpful for conditions that are difficult to measure directly; therefore, Monte Carlo simulation studies are within the scope of this Special Issue. In addition, studies with other novel simulation or computation methods are of great importance and are welcome. Advances in radiation detection techniques for dosimetry or imaging are also welcome, including accurate small field and out-of-field dose measurements, magnetic field dosimetry, 3D or 4D dosimetry, and patient dose reduction during imaging. Feasibility studies to explore new imaging and treatment modalities or experiments in radiation physics, chemistry, and biology, such as ultra-high dose rate FLASH therapy, mini- or micro-beam irradiation, image-guided radiotherapy, and biological effect-guided therapy are also within the scope of this Special Issue. Furthermore, innovative methodologies for preclinical and clinical studies are welcome. Although radiation technologies have been applied in many different fields such as space radiation, industrial CT, and radiation sterilization, the scope of this Special Issue is limited to the medical applications of ionizing radiation.

In this Special Issue, original research articles and reviews are welcome. We look forward to receiving your contributions.

Prof. Dr. Susanna Guatelli
Dr. Fada Guan
Dr. Sebastien Incerti
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 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. Radiation is an international peer-reviewed open access quarterly 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 1000 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

  • medical imaging
  • radiation therapy
  • radiation dosimetry
  • radiation detection and instrumentation
  • Monte Carlo simulation
  • computation in imaging and therapy
  • radiation physics, chemistry, and biology experiments
  • preclinical and clinical studies

Published Papers (1 paper)

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9 pages, 1903 KiB  
Brief Report
MR-LINAC-Guided Adaptive Radiotherapy for Gastric MALT: Two Case Reports and a Literature Review
by Yajun Song, Zhenjiang Li, Huadong Wang, Yun Zhang and Jinbo Yue
Radiation 2022, 2(3), 259-267; https://doi.org/10.3390/radiation2030019 - 13 Jul 2022
Viewed by 2335
Abstract
It is still very challenging to use conventional radiation therapy techniques to treat stomach tumors, although image-guided radiotherapy, mainly by kV X-ray imaging techniques, has become routine in the clinic. This is because the stomach is one of the most deformable organs, and [...] Read more.
It is still very challenging to use conventional radiation therapy techniques to treat stomach tumors, although image-guided radiotherapy, mainly by kV X-ray imaging techniques, has become routine in the clinic. This is because the stomach is one of the most deformable organs, and thus it is vulnerable to respiratory motions, daily diet, and body position changes. In addition, X-ray radiographs and CT volumetric images have low contrast in soft tissues. In contrast, magnetic resonance imaging (MRI) techniques provide good contrast in images of soft tissues. The emerging MR-guided radiotherapy, based on the MR-LINAC system, may have the potential to solve the above difficulties due to its unique advantages. The real-time imaging feature and the high-contrast of soft tissues MR images provided by the MR-LINAC system have facilitated the therapeutic adaptive planning. Online learning capabilities could be used to optimize the automatic delineation of the target organ or tissue prior to each radiotherapy session. This could greatly improve the accuracy and efficiency of the target delineation in adaptive planning. In this clinical case report, we elaborated a workflow for the diagnosis and treatment of two patients with gastric mucosa-associated lymphoid tissue (MALT) lymphoma. One patient underwent MR-guided daily adaptive radiotherapy based on daily automated segmentation using the novel artificial intelligence (AI) technique for gastric delineation. Full article
(This article belongs to the Special Issue Innovative Approaches for Medical Imaging and Radiation Therapy)
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