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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 for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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 for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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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Related Experiment Video

Updated: May 9, 2026

Contrast Enhanced Vessel Imaging using MicroCT
05:50

Contrast Enhanced Vessel Imaging using MicroCT

Published on: January 27, 2011

Low-dose micro-CT imaging for vascular segmentation and analysis using sparse-view acquisitions.

Bert Vandeghinste1, Stefaan Vandenberghe, Chris Vanhove

  • 1Institute Biomedical Technology, MEDISIP, Ghent University-iMinds, Ghent, Belgium. Bert.Vandeghinste@UGent.be

Plos One
|July 11, 2013
PubMed
Summary
This summary is machine-generated.

This study shows that accurate 3D models of the mouse aortic arch can be created using fewer micro-CT scans. Regularized iterative reconstruction significantly reduces X-ray dose and scan time for vascular imaging.

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High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

Area of Science:

  • Biomedical Imaging
  • Medical Physics
  • Cardiovascular Research

Background:

  • In vivo micro-computed tomography (micro-CT) enables detailed 3D imaging of cardiovascular structures.
  • Reducing X-ray dose and acquisition time in micro-CT is crucial for in vivo studies.
  • Sparse-view reconstruction techniques aim to achieve this reduction but often compromise image quality.

Purpose of the Study:

  • To evaluate the feasibility of generating accurate 3D geometrical models of the murine aortic arch from sparse-view micro-CT data.
  • To compare different reconstruction algorithms for their effectiveness with reduced projection data.
  • To determine the minimum number of views required for reliable vascular modeling.

Main Methods:

  • In vivo contrast-enhanced micro-CT scans of murine aortic arches were acquired.
  • Image datasets were reconstructed using Filtered Back Projection (FDK), Image Space Reconstruction Algorithm (ISRA), and Total Variation regularized ISRA (ISRA-TV).
  • Reconstructed images were semi-automatically segmented, and segmentations were quantitatively evaluated based on voxel classification, 3D model diameters, and centerline differences.

Main Results:

  • Filtered Back Projection (FDK) failed to produce accurate segmentations with low-view acquisitions.
  • Image Space Reconstruction Algorithm (ISRA) achieved accurate segmentation with 1024 or more projection views.
  • Total Variation regularized ISRA (ISRA-TV) successfully reconstructed accurate models using a minimum of 256 views.

Conclusions:

  • Accurate 3D vascular models of the murine aortic arch can be obtained using significantly fewer micro-CT projection views.
  • Regularized iterative reconstruction methods, particularly ISRA-TV, are essential for achieving high-quality results with sparse-view data.
  • This approach allows for an 8-fold reduction in X-ray dose and acquisition time, enhancing the feasibility of in vivo cardiovascular micro-CT studies.