ULTRASONIC IMAGING

Scope & Guideline

Innovating Diagnostic Imaging for Better Patient Care

Introduction

Delve into the academic richness of ULTRASONIC IMAGING 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
ISSN0161-7346
PublisherSAGE PUBLICATIONS INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1979 to 2024
AbbreviationULTRASONIC IMAGING / Ultrason. Imaging
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2455 TELLER RD, THOUSAND OAKS, CA 91320

Aims and Scopes

The journal 'ULTRASONIC IMAGING' focuses on advancing the field of ultrasound imaging through innovative methodologies and interdisciplinary approaches. It aims to bridge the gap between technical advancements and clinical applications in ultrasound technology.
  1. Ultrasound Imaging Techniques:
    The journal publishes research on various ultrasound imaging techniques including B-mode, Doppler, and contrast-enhanced ultrasound, emphasizing advancements in image quality and diagnostic capabilities.
  2. Machine Learning and Deep Learning Applications:
    A significant focus is on the application of machine learning and deep learning algorithms for automating image analysis, segmentation, and classification of ultrasound images, enhancing diagnostic accuracy.
  3. Quantitative Ultrasound and Elastography:
    Research on quantitative ultrasound methods, including elastography, is prominent, highlighting the use of ultrasound in assessing tissue stiffness and characterizing various medical conditions.
  4. Clinical Applications of Ultrasound:
    The journal emphasizes clinical relevance, showcasing studies that explore the application of ultrasound imaging in oncology, cardiology, musculoskeletal disorders, and other medical fields.
  5. Innovative Imaging Technologies:
    Research that introduces novel imaging technologies or improvements to existing ultrasound systems is a core area, with a focus on enhancing imaging capabilities and patient outcomes.
The journal 'ULTRASONIC IMAGING' is witnessing emerging themes that reflect the evolving landscape of ultrasound technology and its applications. These trends indicate areas of growing interest and research activity.
  1. Integration of Artificial Intelligence:
    There is a notable trend towards integrating artificial intelligence and deep learning into ultrasound imaging for automated analysis, segmentation, and improved diagnostic capabilities.
  2. Multimodal Imaging Approaches:
    Research is increasingly focusing on multimodal imaging techniques that combine ultrasound with other imaging modalities such as MRI and CT, enhancing diagnostic accuracy and providing comprehensive assessments.
  3. Personalized Medicine Applications:
    Emerging themes include the application of ultrasound in personalized medicine, with studies focusing on predicting treatment responses and tailoring interventions based on ultrasound findings.
  4. Advanced Elastography Techniques:
    The field is seeing a rise in advanced elastography techniques that provide more detailed assessments of tissue properties, particularly in oncology and liver disease.
  5. Tele-ultrasound and Remote Diagnostics:
    With the growth of telemedicine, there is an increasing interest in tele-ultrasound applications, allowing for remote diagnostics and consultations, especially in underserved areas.

Declining or Waning

While 'ULTRASONIC IMAGING' continues to thrive in many areas, there are themes that appear to be losing prominence in recent publications. This may indicate shifts in research focus or advancements rendering certain topics less critical.
  1. Traditional Ultrasound Techniques:
    Research centered on traditional ultrasound techniques without innovative enhancements or applications has diminished, as the field increasingly embraces advanced technologies and methodologies.
  2. Basic Ultrasound Physics:
    Publications focused solely on the fundamental physics of ultrasound are less frequent, suggesting a shift towards practical applications and clinical relevance rather than theoretical exploration.
  3. Conventional Image Processing Methods:
    Conventional image processing techniques are being overshadowed by advanced machine learning approaches, leading to a decline in research focused on traditional algorithms.
  4. Generalized Clinical Studies:
    Studies that do not leverage novel imaging technologies or specific clinical applications are becoming less common, as the journal increasingly prioritizes targeted research that demonstrates clear clinical impact.

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