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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.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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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

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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 IV: CMRI01:21

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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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Doppler Optical Coherence Tomography of Retinal Circulation
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Optical coherence tomography angiography with adaptive multi-time interval.

Bin He1, Yuxin Zhang2, Zhe Meng3

  • 1State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University and Beijing Advanced Innovation Center for Structural Biology, Beijing, China.

Journal of Biophotonics
|January 9, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an improved Optical Coherence Tomography Angiography (OCTA) technique. The new method enhances imaging speed and motion compensation for clearer visualization of microvasculature.

Keywords:
adaptive scanningimaging processingoptical coherence tomography angiography

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Ophthalmology

Background:

  • Optical coherence tomography angiography (OCTA) offers in vivo 3D microvasculature imaging.
  • Existing OCTA methods are limited by motion sensitivity and long acquisition times.

Purpose of the Study:

  • To develop an adaptive multiple time interval correlation mapping OCTA.
  • To improve speed and motion compensation for enhanced microvasculature imaging.

Main Methods:

  • Implemented a spectral-domain OCT system (850 nm, 120 kHz A-scan rate).
  • Utilized adaptive optimization of time interval B-scan angiograms.
  • Incorporated time-efficient scanning and motion compensation algorithms.

Main Results:

  • Achieved a ~67% increase in visible vascular density.
  • Demonstrated a ~11.6% enhancement in signal-to-noise ratio.
  • Successfully reconstructed human arm microvascular networks.

Conclusions:

  • The novel OCTA technique overcomes motion sensitivity and time constraints.
  • Adaptive correlation mapping significantly improves microvasculature visualization.
  • This method offers enhanced diagnostic potential for various applications.