Suppr超能文献

基于体模的近红外颅内血肿检测仪性能评估。

Phantom-based evaluation of near-infrared intracranial hematoma detector performance.

机构信息

U.S. Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryla, United States.

University of Maryland, Fischell Department of Bioengineering, College Park, Maryland, United States.

出版信息

J Biomed Opt. 2019 Apr;24(4):1-10. doi: 10.1117/1.JBO.24.4.045001.

Abstract

Near-infrared spectroscopy (NIRS) is emerging as a rapid, low-cost approach for point-of-care triage of hematomas resulting from traumatic brain injury. However, there remains a lack of standardized test methods for benchtop performance assessment of these devices and incomplete understanding of relevant light-tissue interactions. We propose a phantom-based test method for systems operating near the 800-nm oxy-/deoxy-hemoglobin isosbestic point and implement it to evaluate a clinical system. Semi-idealized phantom geometries are designed to represent epidural/subdural, subarachnoid, and intracerebral hemorrhages. Measurements of these phantoms are made with a commercial NIRS-based hematoma detector to quantify the effect of hematoma type, depth, and size, as well as measurement repeatability and detector positioning relative to the hematoma. Results indicated high sensitivity to epidural/subdural and subarachnoid hematomas. Intracerebral hematomas are detectable to a maximum depth of ∼2.5  cm, depending on thickness and diameter. The maximum lateral detection area for the single-emitter/single-collector device studied here appears elliptical and decreases strongly with inclusion depth. Overall, this study provides unique insights into hematoma detector function and indicates the utility of modular polymer tissue phantoms in performance tests for emerging NIRS-based cerebral diagnostic technology.

摘要

近红外光谱(NIRS)技术正在成为一种快速、低成本的方法,可用于创伤性脑损伤引起的血肿的现场分诊。然而,这些设备的台式性能评估仍然缺乏标准化的测试方法,并且对相关的光-组织相互作用的理解也不完整。我们提出了一种基于体模的测试方法,用于评估在 800nm 左右的氧合/脱氧血红蛋白等色点附近工作的系统,并将其应用于评估一种临床系统。半理想化的体模几何形状被设计用来代表硬膜外/硬膜下血肿、蛛网膜下腔血肿和脑内血肿。使用商业 NIRS 血肿探测器对这些体模进行测量,以量化血肿类型、深度和大小的影响,以及测量重复性和探测器相对于血肿的定位。结果表明,对硬膜外/硬膜下血肿和蛛网膜下腔血肿具有很高的灵敏度。脑内血肿的检测深度最大可达约 2.5cm,具体取决于血肿的厚度和直径。这里研究的单发射器/单探测器装置的最大侧向检测区域呈椭圆形,并随着包含深度的增加而强烈减小。总的来说,这项研究提供了对血肿探测器功能的独特见解,并表明了模块化聚合物组织体模在新兴基于 NIRS 的脑诊断技术性能测试中的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15c0/6989771/b6b451a38ba8/JBO-024-045001-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验