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Related Experiment Video

Updated: May 15, 2026

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
07:46

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

Published on: August 9, 2024

Semi-automatic catheter reconstruction from two views.

Matthias Hoffmann1, Alexander Brost, Carolin Jakob

  • 1Pattern Recognition Lab., Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany. Matthias.Hoffmann@cs.fau.de

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|January 5, 2013
PubMed
Summary
This summary is machine-generated.

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We developed new methods for catheter detection and 3D reconstruction from fluoroscopic images. These techniques improve accuracy and reduce user interaction for better medical imaging analysis.

Area of Science:

  • Medical Imaging
  • Computer-Aided Diagnosis
  • Surgical Navigation

Background:

  • Accurate catheter visualization is crucial for minimally invasive procedures.
  • Current methods for catheter detection and reconstruction can be labor-intensive and less precise.

Purpose of the Study:

  • To introduce novel, accurate, and user-friendly methods for catheter detection in fluoroscopic images.
  • To develop an improved 3D catheter reconstruction technique from biplane fluoroscopic views, particularly for complex curvatures.

Main Methods:

  • Catheter detection utilizes a graph search initiated from a single seed point, minimizing user input.
  • 3D reconstruction employs an optimal selection of point correspondences between two fluoroscopic views to handle curved objects.

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Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
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Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Published on: June 3, 2018

Anatomical Reconstructions of the Human Cardiac Venous System using Contrast-computed Tomography of Perfusion-fixed Specimens
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Anatomical Reconstructions of the Human Cardiac Venous System using Contrast-computed Tomography of Perfusion-fixed Specimens

Published on: April 18, 2013

Related Experiment Videos

Last Updated: May 15, 2026

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
07:46

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Published on: August 9, 2024

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation
06:59

Improved Registration of 3D CT Angiography with X-ray Fluoroscopy for Image Fusion During Transcatheter Aortic Valve Implantation

Published on: June 3, 2018

Anatomical Reconstructions of the Human Cardiac Venous System using Contrast-computed Tomography of Perfusion-fixed Specimens
06:02

Anatomical Reconstructions of the Human Cardiac Venous System using Contrast-computed Tomography of Perfusion-fixed Specimens

Published on: April 18, 2013

Main Results:

  • Catheter detection achieved an average error of 0.7 mm +/- 2.0 mm across 66 clinical images.
  • 3D reconstruction demonstrated an average backprojection error of 0.4 mm +/- 0.6 mm on 33 clinical biplane images.

Conclusions:

  • The proposed methods offer enhanced accuracy and reduced user interaction for catheter detection.
  • The novel reconstruction approach effectively handles highly curved catheters, improving 3D visualization accuracy.