基于B/S架构的医用磁共振质量控制处理系统的设计研究

黄志峰,付丽媛,王晓阳,熊晖,钟群,肖慧,许尚文,陈自谦

中国医疗设备 ›› 2020, Vol. 35 ›› Issue (11) : 23-26.

PDF(2777 KB)
PDF(2777 KB)
中国医疗设备 ›› 2020, Vol. 35 ›› Issue (11) : 23-26. DOI: 11.3969/j.issn.1674-1633.2020.11.007
专论

基于B/S架构的医用磁共振质量控制处理系统的设计研究

  • 黄志峰,付丽媛,王晓阳,熊晖,钟群,肖慧,许尚文,陈自谦
作者信息 +

Design and Research of Quality Control System for Medical Magnetic Resonance Equipment Based on BIS Structure

  • HUANG Zhifeng , FU Liyuan, WANG Xiaoyang, XIONG Hui, ZHONG Qun, XIAO Hui, XU Shangwen, CHEN Ziqian
Author information +
文章历史 +

摘要

目的研究并设计一套医用磁共振质量控制处理系统。方法利用Node.js、Python及Tensorflow等技术,采用B/S架构,根据医用磁共振设备日常维护及质量控制工作的需求和要求,构建相对应的深度学习应用模块。结果初步实现了高性能、高拓展性及高可维护性的医用磁共振质量控制处理系统。结论该处理系统提供了一种数字化质量控制解决思路,具有较高的实用价值和应用前景。

Abstract

Objective To design and research a quality control system for medical MRI equipment. Methods According to the needs and requirementsofroutinemaintenanceandqualitycontrolofmedicalmegneticresonanceequipment,toprovidethecorrespondingdeeplearning applications module with B/S structure and Internet technologies such as Node.js, Python and Tensorflow. Results Preliminarily implemented a quality control system of medical megnetic resonance equipment with high performance, high expansibility and high maintainability. Conclusion The system provides a digital solution for the quality control of medical magnetic resonance equipment, which has high practical value and good prospects for application.

关键词

Node.js / Python / Tensorflow / 医用磁共振 / 质量控制 / B/S架构

Key words

Node.js / Python / Tensorflow / medical magnetic resonance imaging / quality control / B/S structure

引用本文

导出引用
黄志峰, 付丽媛, 王晓阳, . 基于B/S架构的医用磁共振质量控制处理系统的设计研究[J]. 中国医疗设备, 2020, 35(11): 23-26 https://doi.org/11.3969/j.issn.1674-1633.2020.11.007
HUANG Zhifeng, FU Liyuan, WANG Xiaoyang, et al. Design and Research of Quality Control System for Medical Magnetic Resonance Equipment Based on BIS Structure[J]. China Medical Devices, 2020, 35(11): 23-26 https://doi.org/11.3969/j.issn.1674-1633.2020.11.007
中图分类号: R197.39|TH77|TP315   

参考文献

[1] 林迪逵.磁共振质量控制的智能评价系统研究[D].福州:福州 大学,2017.

基金

国家重点研发计划数字诊疗装备研发重点专项子课题(2016YFC0103103)|军区重大课题(14ZX23)|医院科研计划(2019Q02)。

PDF(2777 KB)

373

Accesses

0

Citation

Detail

段落导航
相关文章

/