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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.
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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Related Experiment Video

Updated: Apr 20, 2026

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
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Interventional digital tomosynthesis from a standard fluoroscopy system using 2D-3D registration.

Mazen Alhrishy1, Andreas Varnavas1, Tom Carrell2

  • 1Biomedical Engineering Dept., King's College London, King's Health Partners, London, UK.

Medical Image Analysis
|December 3, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for creating digital tomosynthesis slices using standard fluoroscopy equipment. This technique enhances visualization of patient anatomy during minimally invasive procedures, improving guidance precision without increasing X-ray dose.

Keywords:
2D-3D image registrationEndovascular aneurysm repairInterventional digital tomosynthesis

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Area of Science:

  • Medical Imaging
  • Interventional Radiology
  • Image Processing

Background:

  • Interventional fluoroscopy uses 2D images, limiting 3D anatomical understanding.
  • Iodinated contrast media for vasculature visualization poses nephrotoxic risks.
  • Current methods struggle with complex anatomical visualization during procedures.

Purpose of the Study:

  • To develop a method for generating digital tomosynthesis slices from standard fluoroscopy equipment.
  • To improve intraoperative anatomical visualization for minimally invasive procedures.
  • To reduce reliance on nephrotoxic contrast media.

Main Methods:

  • Utilized 2D-3D image registration to align preoperative CT volumes with intraoperative fluoroscopy images.
  • Developed an algorithm to automatically reconstruct patient-anatomy-specific tomosynthesis slices.
  • Integrated the process into standard fluoroscopy equipment without requiring high X-ray doses.

Main Results:

  • Achieved a 3351% contrast-to-noise ratio improvement on phantom data compared to standard fluoroscopy.
  • Successfully visualized clinically relevant features like the aorta outline, bifurcation, and calcifications in patient data.
  • Demonstrated the feasibility of the method within a clinical workflow.

Conclusions:

  • The proposed method enhances intraoperative guidance by providing patient-anatomy-specific tomosynthesis slices.
  • This technique offers improved visualization of complex anatomy, such as the aorta, without contrast agents.
  • The approach integrates seamlessly with existing fluoroscopy equipment and clinical workflows, offering a safer and more precise alternative.