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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

4.8K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
4.8K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

93
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
93
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

85
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
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相关实验视频

Updated: May 9, 2025

Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
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Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

Published on: September 20, 2015

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基于需求预测和线性编程的MRI检查资源分配的优化协议.

Zhongbin Zhou1, Hanyu Zhou2, Yuanyuan Qiao1

  • 1The 6th Medical Center of PLA General Hospital, Beijing, 100048, China.

Scientific reports
|April 29, 2025
PubMed
概括
此摘要是机器生成的。

在中国,MRI扫描需求的增加导致了漫长的等待时间. 这项研究开发了一种预测和优化方法,以减少MRI等待时间和改善资源使用,显示NARX模型和整数线性编程显著提高效率.

关键词:
在ARIMA模型模型.整数线性编程的整数线性编程这就是为什么MRI是MRI.在 NAR 模型中.优化协议是一个优化协议.

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Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure
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Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure

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相关实验视频

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Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia

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科学领域:

  • 医疗保健管理的管理
  • 医学成像手术 医学成像手术
  • 医疗保健中的运营研究

背景情况:

  • 中国医疗服务的可及性不断提高,导致磁共振成像 (MRI) 扫描的数量急剧增加.
  • 这一激增导致主要医院的MRI检查队列出现显著延迟.
  • 磁力共振成像设备和程序的高成本需要高效的资源利用,以防止使用不足.

研究的目的:

  • 开发一种全面的方法来减少MRI检查患者等待时间.
  • 优化医疗资源的利用,特别是MRI机器,在医院内.
  • 为应对日益增长的MRI需求和相关的运营效率低下所带来的挑战.

主要方法:

  • 从2017年7月到2022年11月使用的每日MRI检查申请数据.
  • 开发并比较了预测模型:自回归集成移动平均线 (ARIMA),自回归集成移动平均线与外源 (ARIMAX),非自回归 (NAR),非自回归与外源 (NARX) 以及集成的ARIMAX-NARX模型.
  • 采用整数线性编程 (ILP) 来优化每台机器每日MRI检查的数量,并开发了资源分配的优化流程图.

主要成果:

  • 确定了MRI检查申请中的每周周期性趋势.
  • 对于未来的MRI需求,NARX模型展示了最高的预测准确度.
  • ILP模型有效地确定了每台机器的最佳检查数量,通过开发的流程图来降低成本和提高效率.

结论:

  • 该NARX模型为MRI检查需求提供了卓越的预测准确度.
  • 将NARX模型与ILP模型和优化流程图集成,为高效的MRI资源配置提供了一个强大的协议.
  • 这种系统的方法提高了运营效率,减少了患者的等待时间,并优化了昂贵的MRI资源的使用.