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Related Concept Videos

Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
Imaging Studies II: Ultrasonography01:24

Imaging Studies II: Ultrasonography

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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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Imaging Studies for Cardiovascular System V: CT01:28

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
Imaging Studies I: CT and MRI01:14

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Imaging Studies V: Intravenous Urography and Retrograde Pyelography01:22

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IntroductionIntravenous Urography (IVU) and Retrograde Pyelography (RP) are important diagnostic imaging techniques used to evaluate the urinary system. These methods help identify structural abnormalities, obstructions, and functional issues in the kidneys, ureters, and bladder. Both procedures use iodine-based contrast media to enhance the visibility of urinary tract structures on X-ray images, though they differ in their methods and indications.1. Intravenous Urography (IVU)Intravenous...

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Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery
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Image analysis techniques for automated IVUS contour detection.

Maria Papadogiorgaki1, Vasileios Mezaris, Yiannis S Chatzizisis

  • 1Informatics and Telematics Institute (ITI)/ Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece. mpapad@iti.gr

Ultrasound in Medicine & Biology
|April 29, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method for detecting borders in intravascular ultrasound (IVUS) images, crucial for assessing coronary atherosclerosis. The technique reliably segments IVUS images, aiding in quantitative analysis.

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Area of Science:

  • Medical Imaging
  • Cardiovascular Research
  • Image Analysis

Background:

  • Intravascular ultrasound (IVUS) is vital for diagnosing coronary atherosclerosis.
  • Accurate detection of lumen and media-adventitia borders in IVUS images is essential for quantitative atherosclerosis assessment.

Purpose of the Study:

  • To present a fully automated technique for detecting lumen and media-adventitia borders in IVUS images.
  • To enable reliable quantitative assessment of atherosclerosis through automated image segmentation.

Main Methods:

  • The technique involves two steps: contour initialization and contour refinement.
  • Contour initialization utilizes intensity information and texture analysis via multilevel discrete wavelet frames decomposition.
  • Contour refinement employs low-pass filtering and radial basis functions for smoothing.

Main Results:

  • The proposed automated segmentation approaches were experimentally evaluated on large datasets of IVUS images from human coronary arteries.
  • The methods demonstrated quick and reliable performance in automated segmentation of IVUS images.

Conclusions:

  • The developed automated technique effectively detects lumen and media-adventitia borders in IVUS images.
  • This approach facilitates accurate and efficient quantitative assessment of coronary atherosclerosis.