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卡尔帕纳:高级光谱信号处理平台,提高准确性,辅助临床环境下脑部疾病的早期诊断。

KALPANA: Advanced Spectroscopic Signal Processing Platform for Improved Accuracy to Aid in Early Diagnosis of Brain Disorders in Clinical Setting.

机构信息

NeuroImaging and NeuroSpectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon, India.

Florey Institute of Neuroscience and Mental Health, Parkville, Melbourne, Victoria, Australia.

出版信息

J Alzheimers Dis. 2020;75(2):397-402. doi: 10.3233/JAD-191351.

Abstract

Magnetic resonance spectroscopy (MRS) plays a substantial role in the non-invasive detection of brain neurochemicals, antioxidants, and neurotransmitters. Quantitative monitoring of these neurochemicals and neurotransmitters in the brain has a profound application for the understanding of brain disorders. Significant progress in the MR scanner as well as MR pulse sequence development to detect in vivo neurochemicals has been accomplished. The processing of MR signal from these low abundant neurochemicals/neurotransmitters should be very robust and sensitive in order to provide distinctive observations of disease-related neurochemical alterations and their absolute quantitation to aid in early clinical diagnosis. We highlight the diversity in currently available MRS processing tools, and recently introduced, KALPANA, a promising package integrating the end-to-end processing as well as robust quantitation of neurochemicals in a user-friendly approach through a graphical user interface. This further necessitates the futuristic need for advanced MRS processing pipeline and the respective readout that can help in early diagnosis and prognosis of diseases in the clinical environment.

摘要

磁共振波谱(MRS)在脑神经化学物质、抗氧化剂和神经递质的非侵入性检测中发挥着重要作用。定量监测这些神经化学物质和神经递质在大脑中的变化,对理解大脑疾病具有深远的应用价值。在 MR 扫描仪以及用于检测体内神经化学物质的 MR 脉冲序列的发展方面取得了重大进展。为了提供与疾病相关的神经化学改变的特征观察和绝对定量,以帮助早期临床诊断,从这些低丰度神经化学物质/神经递质中处理 MR 信号应该非常稳健和灵敏。我们强调了当前可用的 MRS 处理工具的多样性,并介绍了最近开发的 KALPANA,这是一个很有前途的软件包,通过图形用户界面以用户友好的方式集成了端到端处理以及神经化学物质的稳健定量。这进一步需要先进的 MRS 处理管道和相应的读出,以帮助在临床环境中进行疾病的早期诊断和预后。

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