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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Imaging Studies III: Computed Tomography01:27

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

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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...
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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...
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Related Experiment Video

Updated: Apr 6, 2026

Evaluation of Capillary and Other Vessel Contribution to Macular Perfusion Density Measured with Optical Coherence Tomography Angiography
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Evaluation of Capillary and Other Vessel Contribution to Macular Perfusion Density Measured with Optical Coherence Tomography Angiography

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Image quality metrics for optical coherence angiography.

Andrea Lozzi1, Anant Agrawal1, Adam Boretsky1

  • 1Center for Devices and Radiological Health, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring MD 20993, USA.

Biomedical Optics Express
|July 24, 2015
PubMed
Summary

Optical coherence angiography (OCA) image quality was assessed using a new segmentation method. The average absolute difference (AAD) algorithm showed superior signal-to-noise ratio and contrast compared to standard deviation (SD) for capillary network analysis.

Keywords:
(100.0100) Image processing(110.4500) Optical coherence tomography(170.1470) Blood or tissue constituent monitoring(170.3880) Medical and biological imaging

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Area of Science:

  • Biomedical Imaging
  • Neuroscience
  • Ophthalmology

Background:

  • Optical coherence angiography (OCA) is crucial for visualizing microvasculature.
  • Assessing image quality in OCA, particularly for the mouse cortical capillary network, is essential for accurate quantification.
  • Existing B-scan processing algorithms require comparative analysis for optimal performance.

Purpose of the Study:

  • To characterize image quality in OCA en face planes of the mouse cortical capillary network.
  • To compare two B-scan processing algorithms, average absolute difference (AAD) and standard deviation (SD), based on signal-to-noise ratio (SNR) and Weber contrast (Wc).
  • To evaluate the impact of lateral resolution on fine capillary detection.

Main Methods:

  • A novel mask-based segmentation method was developed to analyze OCA image quality.
  • The study compared AAD and SD algorithms across varying gate lengths (N).
  • Image quality metrics (SNR, Wc) and capillary diameter (FWHM) were quantified using different objective lenses.

Main Results:

  • AAD and SD algorithms showed similar performance for N<10, with AAD being less susceptible to motion artifacts.
  • AAD demonstrated 15% higher SNR and 35% higher Wc than SD for N=25 to 100.
  • A lower magnification objective lens resulted in a significant 17% broadening (FWHM) of capillary diameter.

Conclusions:

  • The AAD algorithm offers improved image quality for OCA analysis of capillary networks compared to SD, especially at higher gate lengths.
  • Lateral resolution significantly impacts the accurate measurement of fine capillary dimensions.
  • These findings can inform the design of OCA studies and devices for capillary and blood flow quantification.