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.

脑损伤是现代医疗保健中最严重和最重要的发病和死亡原因之一。它的后果可能造成严重的损失;使幸存者终生留下使人衰弱的人格改变、精神疾病、癫痫、言语和语言问题、认知和执行功能障碍、行动能力和身体障碍以及瘫痪的伤疤。统计数据是严峻的：2014年约有350，000名脑损伤患者因出血和中风等疾病入院。保守估计，每年至少有2000名成年人因受伤而严重受损，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。据慈善机构"进展"称，自2006年以来，脑损伤增加了10%。如果能在正确的时间提供正确的治疗，脑损伤后康复的机会将大大提高，该建议利用了射频感应（RFI）和微波（MW）的最新研究成果，用于诊断神经损伤的光谱系统。我们的创新之处在于将频谱的联合收割机RF和MW测量结合在一个系统中，前提是各部分的总和大于整体。我们可以利用两个区域颅内组织电特性的不同对比度，以新的方式组合数据，从根本上提高选择性-即选择一种效应（脑损伤）的能力，而不是其他可能影响测量的混淆生理和环境因素。我们特别感兴趣的是在颅内组织的分散区域的频率-特别是β和γ分散。这些是光谱上的区域，当电荷流或电场传输的机制从一种形式改变为另一种形式时，电特性会发生更突然的变化。光谱的这两个信息丰富的区域是值得注意的，因为不同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，如中风，出血和血肿的状态，状况和进展的特性（出血和血凝块）、脑水肿（肿胀），主要特征是颅内液体和组织的体积变化。我们的愿望是，这种技术，在一个紧凑和便携的形式，将有助于改善脑损伤患者的预后。我们设想的系统可以：（1）在病人护理的最早阶段部署，提供时间紧迫的诊断，以加快治疗交付;以及（2）用于动态评估脑损伤进展的本质安全的连续监测工具，作为现有神经成像的补充，并在仍有时间进行外科手术干预的同时，对快速和潜在灾难性的患者恶化给出早期警告。

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