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.

脑损伤是现代医疗中最严重、最重要的致死原因之一。它的后果可能会造成沉重的损失；给幸存者留下终身的伤疤，包括令人衰弱的人格变化、精神疾病、癫痫、语言和语言问题、认知和执行障碍，以及行动能力和身体障碍和瘫痪。统计数据是严峻的：2014年，大约有35万脑损伤患者被送往英国医院，病情从出血到中风。保守地说，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。最令人担忧的是，这些数字正在上升。根据慈善机构Headway的数据，自2006年以来，脑损伤增加了10%。如果临床医生能够在正确的时间提供正确的治疗，并配备关于患者神经状态的最好信息，那么脑损伤后康复的机会将大大提高。这项建议利用了最近在射频感应(RFI)和微波(MW)频谱系统诊断神经损伤方面的工作。我们的创新之处在于，在部分之和大于整体的前提下，将射频和微波频谱测量结合在一个系统中。我们可以利用这两个区域颅内组织电特性的不同对比度，以新的方式结合数据，从根本上提高选择性--即，从可能影响测量的其他混淆的生理和环境因素中选择一种影响(脑损伤)的能力。我们对颅内组织弥散区域的频率特别感兴趣--特别是贝塔和伽马弥散。这些是光谱上的区域，当电荷流动或电场传输的机制从一种形式改变到另一种形式时，电学性质变化更突然。这两个信息丰富的光谱区域是值得注意的，因为不同的颅骨组织之间的对比度明显不同。这些不同的对比度可以用来阐明某些类型的脑损伤的状态、状况和进展情况，例如中风、出血和血肿(出血和血块)、脑水肿(肿胀)，主要特征是颅骨内液体和组织的体积变化。我们的愿望是，这项技术以紧凑和便携的形式，将有助于改善脑损伤导致的患者预后。我们设想的系统可以：(1)在患者护理的最早阶段部署，提供关键时间的诊断，以加快治疗提供；(2)本质安全、持续的监测工具，用于动态评估脑损伤的进展，补充现有的神经成像，并在仍有时间进行手术干预时，对快速和潜在的灾难性患者恶化发出早期警告。

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