A_Tensor-based_Catheter_and_Wire_Detection_and_Tracking_Framework_and_Its_Clinical_Applications.pdf (5.12 MB)
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A tensor-based catheter and wire detection and tracking framework and its clinical applications

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journal contribution
posted on 09.08.2021, 13:31 by Yingliang Ma, Diwei ZhouDiwei Zhou, Lei YeLei Ye, Richard James Housden, Ansab Fazili, Kawal Rhode
Objective: Catheters and wires are used extensively in cardiac catheterization procedures. Detecting their positions in fluoroscopic X-ray images is important for several clinical applications such as motion compensation and co-registration between 2D and 3D imaging modalities. Detecting the complete length of a catheter or wire object as well as electrode positions on the catheter or wire is a challenging task. Method: In this paper, an automatic detection framework for catheters and wires is developed. It is based on path reconstruction from image tensors, which are eigen direction vectors generated from a multiscale vessel enhancement filter. A catheter or a wire object is detected as the smooth path along those eigen direction vectors. Furthermore, a real-time tracking method based on a template generated from the detection method was developed. Results: The proposed framework was tested on a total of 7,754 X-ray images. Detection errors for catheters and guidewires are 0.56 0.28 mm and 0.68 0.33 mm, respectively. The proposed framework was also tested and validated in two clinical applications. For motion compensation using catheter tracking, the 2D target registration errors (TRE) of 1.8 mm 0.9 mm was achieved. For co-registration between 2D X-ray images and 3D models from MRI images, a TRE of 2.3 0.9 mm was achieved. Conclusion: A novel and fully automatic detection framework and its clinical applications are developed. Significance: The proposed framework can be applied to improve the accuracy of image-guidance systems for cardiac catheterization procedures.

Funding

Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z]

National Institute for Health Research (NIHR) Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London

History

School

  • Science

Department

  • Mathematical Sciences

Published in

IEEE Transactions on Biomedical Engineering

Volume

69

Issue

2

Pages

635 - 644

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2021-08-05

Copyright date

2021

Notes

when published cc by license on document was not applied

ISSN

0018-9294

eISSN

1558-2531

Language

en

Depositor

Dr Diwei Zhou. Deposit date: 7 August 2021