基于fbg的血管形态重建传感器的设计与动物实验评价

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-05-21 DOI:10.1016/j.measurement.2025.117769

Yimin Luo , Shijia Chen , Cheng Wang , Yuting Ni , He Zhang , Shengnan Lyu , Tianxue Zhang

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引用次数: 0

摘要

血管介入手术主要依靠碘造影剂血管造影术，使患者和医务人员都暴露在辐射下。对无辐射、灵活、实时的血管介入手术诊断方法的迫切需求促使了本研究的开展。研究了一种集成柔性导管装置的多光栅三芯光纤光栅（FBG）传感器。利用该装置进行了猪动脉形态重建实验，并提出了一种体内实验方案。使用改进的HEM （i-HEM）算法重建血管形状，并与计算机断层扫描（CT）图像进行比较。平均重建误差为1.5116 mm和2.1674 mm，百分比误差分别为0.8892%和1.2749%，表明i-HEM算法在血管形态重建中具有较高的精度。此外，柔性导管装置的MRI兼容性验证，信噪比为2.90%。本研究为fbg诊断血管介入提供了一种可行的解决方案。

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Design and evaluation of FBG-based vascular shape reconstruction sensors through animal experiments

Vascular interventional procedure primarily relies on iodine contrast agent angiography, exposing both patients and medical personnel to radiation. The urgent demand for radiation-free, flexible, and real-time diagnostic methods for vascular interventional surgery triggers this study. A multi-grating three-core fiber Bragg grating (FBG) sensor with an integrated flexible conduit device has been investigated. A porcine artery shape reconstruction experiment is conducted using the device, and an in-vivo experimental protocol is proposed. Vascular shape is reconstructed using an improved HEM (i-HEM) algorithm and compared with computed tomography (CT) images. The average reconstruction errors of 1.5116 mm and 2.1674 mm with percentage errors of 0.8892% and 1.2749% respectively suggest high accuracy of the i-HEM algorithm in vascular shape reconstruction. Additionally, the MRI compatibility of the flexible catheter device is validated with a signal-to-noise (SNR) ratio of 2.90%. This study provides a feasible solution for diagnosing vascular intervention using FBGs.

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.