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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 VI: Voiding Cystourethrography and Cystography01:22

Imaging Studies VI: Voiding Cystourethrography and Cystography

Voiding Cystourethrography (VCUG) and Cystography are specialized radiographic procedures used to examine the structure and function of the bladder and urethra.Voiding Cystourethrography (VCUG)A Voiding Cystourethrogram (VCUG) is a diagnostic imaging procedure that assesses the anatomy and function of the lower urinary tract. It focuses on the bladder, bladder neck, and urethra, helping detect abnormalities such as vesicoureteral reflux (VUR)—the backward or reverse flow of urine into the...
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 V: Intravenous Urography and Retrograde Pyelography01:22

Imaging Studies V: Intravenous Urography and Retrograde Pyelography

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...
Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...

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Image Acquisition Method for the Sonographic Assessment of the Inferior Vena Cava
06:59

Image Acquisition Method for the Sonographic Assessment of the Inferior Vena Cava

Published on: January 13, 2023

Standardized evaluation methodology and reference database for evaluating IVUS image segmentation.

Simone Balocco1, Carlo Gatta2, Francesco Ciompi1

  • 1Computer Vision Center, Bellaterra, Spain; Dept. Matemàtica Aplicada i Anàlisi, Universitat de Barcelona, Barcelona, Spain.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|September 10, 2013
PubMed
Summary
This summary is machine-generated.

A new framework enables quantitative comparison of intravascular ultrasound (IVUS) segmentation algorithms. Results show semi-automatic methods match manual accuracy, with promising outcomes for fully-automatic IVUS segmentation.

Keywords:
Algorithm comparisonEvaluation frameworkIVUS (intravascular ultrasound)Image segmentation

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Image Acquisition Method for the Sonographic Assessment of the Inferior Vena Cava
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Published on: November 30, 2022

Area of Science:

  • Medical imaging analysis
  • Computational pathology
  • Biomedical engineering

Background:

  • Intravascular ultrasound (IVUS) imaging is crucial for assessing vascular disease.
  • Accurate segmentation of lumen and media borders in IVUS images is essential for quantitative analysis.
  • Existing segmentation algorithms vary in methodology and performance, necessitating standardized evaluation.

Purpose of the Study:

  • To introduce a standardized evaluation framework for comparing IVUS lumen and media segmentation algorithms.
  • To quantitatively assess the performance of various segmentation approaches using a diverse IVUS dataset.
  • To identify current challenges and future directions in IVUS image segmentation.

Main Methods:

  • Development of a comprehensive evaluation framework for IVUS segmentation.
  • Compilation of a multi-center, multi-vendor, multi-frequency IVUS dataset with reference standards.
  • Proposal of three quantitative performance measures for algorithm evaluation.
  • Comparison of eight participating teams' segmentation algorithms (semi- and fully-automatic, 2D/3D).

Main Results:

  • Semi-automatic IVUS segmentation methods achieved accuracy comparable to manual annotation.
  • Fully-automatic segmentation methods demonstrated encouraging results, indicating significant progress.
  • The evaluation highlighted specific challenges that require further research in IVUS segmentation.

Conclusions:

  • The proposed framework provides a standardized method for quantitative comparison of IVUS segmentation algorithms.
  • Accurate IVUS lumen and media segmentation is achievable, particularly with semi-automatic approaches.
  • Further advancements are needed to address remaining challenges in fully-automatic IVUS segmentation.