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Related Concept Videos

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 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 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

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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Imaging Cerebral Blood Vessels Using Near-Infrared Optical Tomography: A Simulation Study.

D Yacheur1, M Ackermann2, T Li2

  • 1Biomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. djazia.yacheur@uzh.ch.

Advances in Experimental Medicine and Biology
|October 16, 2023
PubMed
Summary

Near-infrared optical tomography (NIROT) offers a non-invasive method to visualize brain vessels. This study developed a dynamic time-domain NIROT technique, achieving accurate imaging with a low error rate.

Keywords:
Cerebral vesselsImagingNear-infrared optical tomography

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Neuroimaging

Background:

  • Cerebral veins are crucial for preoperational planning and brain oxygenation monitoring.
  • Existing imaging techniques like MRA have limitations including long scan times and contrast agent requirements.
  • Near-infrared optical tomography (NIROT) is a promising non-invasive modality for assessing brain vasculature.

Purpose of the Study:

  • To develop a non-invasive, label-free, dynamic time-domain (TD) NIROT system for imaging brain vessels.
  • To evaluate the system's performance using simulations incorporating realistic head models.

Main Methods:

  • Simulations were conducted using NIRFAST software, employing the finite element method (FEM) for light propagation modeling.
  • Both simple and realistic head meshes derived from MRI images were utilized.
  • A hybrid FEM-U-Net network was employed for image reconstruction.

Main Results:

  • The developed TD-NIROT technique successfully visualized superficial cerebral vessels.
  • The imaging achieved a Root Mean Square Error (RMSE) below 0.079.
  • The hybrid FEM-U-Net approach demonstrated effectiveness in reconstructing vessel images.

Conclusions:

  • Non-invasive, label-free TD-NIROT is a viable method for imaging cerebral vasculature.
  • The simulation results support the potential of this technique for clinical applications like stroke detection.
  • Further development could enhance its capability for deeper brain structure imaging.