Journal of X-Ray Science and Technology

Scope & Guideline

Driving Excellence in Radiological Research

Introduction

Delve into the academic richness of Journal of X-Ray Science and Technology with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN0895-3996
PublisherIOS PRESS
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1989 to 1998, from 2001 to 2024
AbbreviationJ X-RAY SCI TECHNOL / J. X-Ray Sci. Technol.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressNIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS

Aims and Scopes

The Journal of X-Ray Science and Technology focuses on advancing the field of X-ray imaging and technology through innovative research and applications. The journal publishes research that encompasses a wide range of topics related to X-ray science, with a particular emphasis on imaging techniques, computational methods, and clinical applications.
  1. X-ray Imaging Techniques:
    Research dedicated to the development and enhancement of various X-ray imaging techniques, including computed tomography (CT), phase contrast imaging, and digital radiography.
  2. Artificial Intelligence and Machine Learning Applications:
    The journal emphasizes the use of artificial intelligence (AI) and machine learning techniques for improving diagnostic accuracy, image processing, and segmentation in medical imaging.
  3. Dosimetry and Radiation Safety:
    Studies focusing on dosimetry, radiation dose optimization, and safety in X-ray procedures, aiming to minimize patient exposure while maintaining image quality.
  4. Clinical Applications and Diagnostics:
    Research that bridges the gap between technology and clinical practice, including studies on the effectiveness of X-ray imaging in diagnosing various diseases and conditions.
  5. Innovative Computational Methods:
    The journal publishes papers that explore novel computational methods for enhancing image quality, reducing artifacts, and improving diagnostic capabilities in X-ray imaging.
  6. Multimodal Imaging and Fusion Techniques:
    Research on integrating X-ray imaging with other modalities (e.g., MRI, CT, ultrasound) to enhance diagnostic capabilities through multimodal imaging and data fusion.
Recent publications indicate a shift towards innovative and interdisciplinary research areas within the Journal of X-Ray Science and Technology. The following themes have emerged as significant trends over the past few years.
  1. Deep Learning and AI in Medical Imaging:
    There is a growing trend in utilizing deep learning and AI algorithms for enhancing image processing, segmentation, and diagnosis in medical imaging, indicating a shift towards more automated and accurate diagnostic tools.
  2. Advanced Image Reconstruction Techniques:
    Emerging research focuses on novel image reconstruction methods, particularly those that leverage deep learning and advanced algorithms to improve image quality and reduce artifacts in low-dose CT imaging.
  3. Radiomics and Predictive Analytics:
    The integration of radiomics with predictive analytics is trending, with researchers exploring how imaging features can predict clinical outcomes and treatment responses in various cancers.
  4. Interdisciplinary Approaches to Imaging:
    There is an increasing emphasis on interdisciplinary research that combines insights from radiology, engineering, and computer science to enhance imaging technologies and applications.
  5. Real-Time Imaging and Monitoring:
    Recent studies are exploring real-time imaging techniques and their applications in monitoring disease progression and treatment efficacy, highlighting the importance of timely interventions in clinical settings.

Declining or Waning

As the field of X-ray science evolves, certain themes have witnessed a decline in publication frequency. This section highlights those areas that are becoming less prominent in recent years.
  1. Traditional Imaging Techniques:
    There has been a noticeable reduction in research focusing on traditional X-ray imaging techniques without advanced computational methods, as the field shifts towards more sophisticated imaging modalities and analysis.
  2. Basic Radiography Studies:
    Research centered solely on basic radiography is declining, likely due to the increasing complexity and integration of imaging technologies that provide advanced diagnostic capabilities.
  3. Conventional Dosimetry Methods:
    The focus on traditional dosimetry techniques is waning as newer, more accurate methods and technologies for measuring radiation exposure are being developed and adopted.
  4. Non-Clinical Applications of X-ray Technology:
    Research focusing on non-clinical applications of X-ray technology, such as industrial imaging, is becoming less frequent in favor of studies that emphasize clinical relevance and patient outcomes.
  5. Low-Dose Imaging without AI Enhancement:
    There is a decreasing trend in studies that discuss low-dose imaging techniques without the incorporation of advanced AI or machine learning approaches, as these technologies gain prominence.

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