Assessment of Brain-injury using Radio-Frequency Induction and Microwave Spectroscopy (ABRIMS)

使用射频感应和微波光谱 (ABRIMS) 评估脑损伤

• 批准号: EP/S006869/1
• 负责人: Anthony Peyton
• 金额: $ 62.08万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FS006869%2F1
• 关键词: Assessment; Brain; injury; using; Radio

Brain-injury is one of the most severe and significant causes of morbidity and death in modern healthcare. Its consequences can exact a heavy toll; leaving survivors with the life-long scars of debilitating personality change, mental illness, epilepsy, speech and language problems, cognitive and executive dysfunction, and mobility and physical impairment and paralysis.The statistics are stark: Around 350,000 people with brain-injury were admitted to UK hospitals in 2014 with conditions ranging from haemorrhage to stroke. Conservatively, at least 2000 adults a year suffer serious impairments from their injury, and it is the primary cause of disability and death in young people and children. Most concerning of all, these numbers are rising. According to the charity 'Headway', brain-injuries have increased by 10% since 2006.The chances of recovering after a brain injury are vastly improved if the right therapy can be delivered at the right time, by a clinician equipped with the very-best information on the patient's neurological state.This proposal takes advantage of recent work on radio-frequency induction (RFI) and microwave (MW) spectroscopy systems for diagnosis of neurological injury. Our innovation is to combine RF and MW measurement of the spectrum in a single system, on the premise that the sum of the parts is greater than the whole. We can exploit the differing contrast ratios in the electrical properties of intracranial tissues over the two regions, combining the data in new ways to radically improve selectivity - that is, the ability to select one effect (a brain-injury) over other confounding physiological and environmental factors that may also affect the measurement. We are particularly interested in frequencies over the dispersion regions of intracranial tissues - specifically the beta and gamma dispersions. These are regions on the spectrum where the electrical properties change more suddenly as the mechanism for charge flow, or transmission of electric fields, changes from one form to another. These two information-rich regions of the spectra are notable for the markedly different contrast ratios between the different cranial tissues. These different contrast ratios may be used to elucidate properties about the state, condition and progress of certain types of brain injuries, such stroke, haemorrhage and haematoma (bleeding and blood clots), cerebral oedema (swellling), chiefly characterised by volumetric changes of fluids and tissue set within the cranium.Our aspiration is that this technology, in a compact and portable form, will serve to improve patient outcomes resulting from brain-injury. We envisage a system that could; (1) be deployed at the very earliest stages of patient care, providing time critical diagnosis to speed up treatment delivery; and (2) an intrinsically safe, continuous monitoring tool for dynamic assessment of a brain injury's progression, supplemental to existing neuro-imaging, and give an early warning of rapid and potentially catastrophic patient deterioration while there is still time for surgical intervention.

脑受伤是现代医疗保健中发病和死亡的最严重和最重要的原因之一。它的后果会严重造成沉重的损失。使幸存者遭受了人格变化，精神疾病，癫痫，言语和语言问题，认知和执行功能障碍的终生伤痕，流动性和身体障碍和瘫痪。统计数据很明显：2014年，大约350,000名患有脑部受伤的人在2014年接受了英国医院，并因涉足Haemorrhage to Sporseke而言。保守地，每年至少有2000名成年人因受伤而遭受严重损害，这是年轻人和儿童残疾和死亡的主要原因。最重要的是，这些数字正在上升。 According to the charity 'Headway', brain-injuries have increased by 10% since 2006.The chances of recovering after a brain injury are vastly improved if the right therapy can be delivered at the right time, by a clinician equipped with the very-best information on the patient's neurological state.This proposal takes advantage of recent work on radio-frequency induction (RFI) and microwave (MW) spectroscopy systems for diagnosis of neurological 受伤。我们的创新是将频谱的RF和MW测量结合在单个系统中，以此为前提，即零件的总和大于整体。我们可以利用两个区域的颅内组织的电性能中的不同对比度，以新的方式组合数据以从根本上提高选择性，即选择一种效应（脑受损）而不是其他混淆的生理和环境因素，从而可能会影响测量值。我们对颅内组织分散区域的频率特别感兴趣 - 特别是β和伽马分散体。这些是频谱上的区域，其中电性能突然随着电荷流的机制或电场的传输而变化，从一种形式变为另一种形式。光谱的这两个富含信息的区域是不同颅骨组织之间明显不同的对比度的值得注意的。这些不同的对比比可用于阐明某些类型的脑损伤状态，状况和进度，例如中风，出血和血肿（出血和血液凝块），脑性水肿（肿胀），主要是由供应型在Cranium中的造成的型号，而这些技术的特征是，脑部水肿（肿胀）的特征是，这是一项造成的port术。来自脑受伤。我们设想一个可以的系统； （1）在患者护理的最早阶段部署，提供时间临界诊断以加快治疗的速度； （2）一种本质上安全的，连续的监测工具，用于动态评估脑损伤的进展，补充现有神经成像，并在仍有时间进行手术干预时发出快速且潜在的灾难性患者劣势的预警。

项目成果

Model-based Calibration of a Magnetic Induction Spectroscopy System for Absolute Conductivity Measurement

用于绝对电导率测量的磁感应光谱系统的基于模型的校准

• DOI: 10.1109/sas48726.2020.9220025
• 发表时间: 2020
• 作者: O'Toole M