Suppr超能文献

脑的定量质子磁共振波谱与波谱成像:教学综述

Quantitative proton magnetic resonance spectroscopy and spectroscopic imaging of the brain: a didactic review.

作者信息

Alger Jeffry R

机构信息

Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095-7085, USA.

出版信息

Top Magn Reson Imaging. 2010 Apr;21(2):115-28. doi: 10.1097/RMR.0b013e31821e568f.

Abstract

This article presents background information related to methodology for estimating brain metabolite concentration from magnetic resonance spectroscopy (MRS) and magnetic resonance spectroscopic imaging measurements of living human brain tissue. It reviews progress related to this methodology, with emphasis placed on progress reported during the past 10 years. It is written for a target audience composed of radiologists and magnetic resonance imaging technologists. It describes in general terms the relationship between MRS signal amplitude and concentration. It then presents an overview of the many practical problems associated with deriving concentration solely from absolute measured signal amplitudes and demonstrates how a various signal calibration approaches can be successfully used. The concept of integrated signal amplitude is presented with examples that are helpful for qualitative reading of MRS data as well as for understanding the methodology used for quantitative measurements. The problems associated with the accurate measurement of individual signal amplitudes in brain spectra having overlapping signals from other metabolites and overlapping nuisance signals from water and lipid are presented. Current approaches to obtaining accurate amplitude estimates with least-squares fitting software are summarized.

摘要

本文介绍了与通过磁共振波谱(MRS)和活体人类脑组织的磁共振波谱成像测量来估计脑代谢物浓度的方法相关的背景信息。它回顾了该方法的进展,重点是过去10年报道的进展。本文是为放射科医生和磁共振成像技术人员组成的目标受众撰写的。它大致描述了MRS信号幅度与浓度之间的关系。然后概述了仅从绝对测量信号幅度推导浓度所涉及的许多实际问题,并展示了各种信号校准方法如何能够成功使用。文中通过实例介绍了积分信号幅度的概念,这些实例有助于对MRS数据进行定性解读以及理解用于定量测量的方法。还介绍了在脑谱中准确测量各个信号幅度时所面临的问题,这些脑谱中存在来自其他代谢物的重叠信号以及来自水和脂质的重叠干扰信号。总结了使用最小二乘法拟合软件获得准确幅度估计的当前方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab60/3103086/741a2cd72b23/nihms275758f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验