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Ultrasonography01:17

Ultrasonography

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

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IntroductionUltrasonography, or renal ultrasound, is a noninvasive medical imaging technique that uses high-frequency sound waves to visualize the kidneys, ureters, bladder, and surrounding tissues.Indications for Urinary System UltrasonographyUrinary system ultrasonography is indicated in various clinical scenarios, such as:Kidney Stones (Urolithiasis): To detect and monitor the size and presence of kidney or urinary tract stones.Hydronephrosis: To assess the dilation of the renal pelvis and...
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Updated: Jul 23, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
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Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition.

Alberto Monterroso Muñoz1, Maria-Jose Moron-Fernández2, Daniel Cascado-Caballero2

  • 1Department of Applied Mathematics I, Universidad de Sevilla, 41012 Sevilla, Spain.

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Summary

This study identifies critical issues in underwater imaging for autonomous underwater vehicles (AUVs). It proposes a global workflow to address challenges from image acquisition to algorithmic processing for improved AUV performance.

Keywords:
image acquisitionimage processing methodsoptical imaging technologiessensing for autonomous underwater vehiclesunderwater image

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Area of Science:

  • Robotics and Computer Vision
  • Marine Technology
  • Image Processing

Background:

  • Underwater imaging is crucial for AUV navigation and vision systems.
  • Rapid advancements in AUVs highlight a need for standardized approaches in underwater image processing.
  • Existing research lacks comprehensive, generalizable solutions for AUV imaging challenges.

Purpose of the Study:

  • To identify critical issues in the entire process of autonomous underwater vehicle (AUV) imaging.
  • To analyze image acquisition, enhancement, quality assessment, and algorithmic processing challenges.
  • To propose a global workflow for AUV imaging, outlining future requirements and perspectives.

Main Methods:

  • Analysis of statistics from 120 AUV articles over recent decades, focusing on state-of-the-art papers.
  • Examination of synergistic effects between professional photography and scientific imaging for AUV applications.
  • Review of image acquisition, enhancement, quality assessment, and mosaicking techniques.

Main Results:

  • Identified a lack of standardized, general-approach proposals in AUV imaging research.
  • Highlighted critical issues spanning optical sensing to algorithmic processing in AUVs.
  • Analyzed trends and gaps in recent AUV literature.

Conclusions:

  • A comprehensive global underwater workflow is proposed for AUV imaging.
  • Future requirements and new perspectives are extracted to advance AUV vision and navigation.
  • Addressing identified issues can significantly improve AUV operational capabilities.