A Vascular Shape Reconstruction Method Based on Multicore FBG Sensing

Fiber Bragg grating (FBG) optical fiber shape sensing has the potential to minimize harmful radiation exposure for both medical professionals and patients. It provides real-time, three-dimensional visualization of vascular structures during interventional procedures. The field has witnessed advancem...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2024-02, Vol.24 (3), p.1-1
Main Authors: Zhang, Tianxue, Gao, Anzhu, Zhu, Jianjun, Zhang, Bohan, Lin, Jiachun, Ni, Yuting
Format: Article
Language:English
Subjects:
Algorithms
Bragg gratings
Computed tomography
CT Image
Curvature
Error analysis
Image reconstruction
improved helical method
multi-core fiber Bragg grating
Optical fibers
Perception
Radiation
Radiation effects
Sensor arrays
shape sensing
three-dimensional reconstruction
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Fiber Bragg grating (FBG) optical fiber shape sensing has the potential to minimize harmful radiation exposure for both medical professionals and patients. It provides real-time, three-dimensional visualization of vascular structures during interventional procedures. The field has witnessed advancements through the development of a multi-core 5-FBG sensor array engineered to capture critical attributes inherent to vascular morphology, such as curvature and torsion. An optimized helical extension method (HEM) has been introduced to accurately measure vessel curvature degrees and facilitate precise three-dimensional reconstruction of vascular shapes. This refined HEM algorithm has significantly reduced the reconstruction error rate to 15.611%. An experimental system for interventional vascular optical fiber sensing was established to validate the effectiveness of the proposed method. The obtained vascular shape measurements were compared with those derived from computed tomography (CT) imaging. The maximum error between the two measurements was found to be less than 1.4156 mm, affirming the accuracy of the enhanced HEM algorithm in perceiving vascular shape. This research demonstrates the feasibility of utilizing the constructed multi-core 5-FBGs optical fiber for shape perception in a wide range of vascular structures. This study serves as a foundation for the integration of FBG sensors into clinical vascular shape perception approaches, presenting the potential benefits of reduced radiation exposure and improved accuracy in interventional procedures.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2023.3334484