National Physical Laboratory, Teddington, UK.
Belfast Health and Social Care Trust, Belfast, Ireland.
Br J Radiol. 2021 Apr 1;94(1120):20201215. doi: 10.1259/bjr.20201215. Epub 2021 Mar 12.
MRI has been an essential diagnostic tool in healthcare for several decades. It offers unique insights into most tissues without the need for ionising radiation. Historically, MRI has been predominantly used qualitatively, images are formed to allow visual discrimination of tissues types and pathologies, rather than providing quantitative measurements. Increasingly, quantitative MRI (qMRI) is also finding clinical application, where images provide the basis for physical measurements of, tissue volume measures and represent aspects of tissue composition and microstructure. This article reviews some common current research and clinical applications of qMRI from the perspective of measurement science. qMRI not only offers additional information for radiologists, but also the opportunity for improved harmonisation and calibration between scanners and as such it is well-suited to large-scale investigations such as clinical trials and longitudinal studies. Realising these benefits, however, presents a new kind of technical challenge to MRI practioners. When measuring a parameter quantitatively, it is crucial that the reliability and reproducibility of the technique are well understood. Strictly speaking, a numerical result of a measurement is meaningless unless it is accompanied by a description of the associated measurement uncertainty. It is therefore necessary to produce not just estimates of physical properties in a quantitative image, but also their associated uncertainties. As the process of determining a physical property from the raw MR signal is complicated and multistep, estimation of uncertainty is challenging and there are many aspects of the MRI process that require validation. With the clinical implementation of qMRI techniques and its continued expansion, there is a clear and urgent need for metrology in this field.
MRI 技术已经在医疗保健领域应用了几十年,是一种非常重要的诊断工具。它提供了对大多数组织的独特见解,而无需使用电离辐射。从历史上看,MRI 主要是定性使用的,通过形成图像来允许对组织类型和病变进行视觉区分,而不是提供定量测量。越来越多的定量 MRI(qMRI)也正在找到临床应用,其图像为物理测量提供了基础,包括组织体积测量以及组织成分和微观结构的某些方面。本文从测量科学的角度综述了 qMRI 的一些常见当前研究和临床应用。qMRI 不仅为放射科医生提供了更多的信息,而且还为扫描仪之间的改进协调和校准提供了机会,因此非常适合临床试验和纵向研究等大规模研究。然而,实现这些好处对 MRI 从业者提出了一种新的技术挑战。在对参数进行定量测量时,必须很好地理解该技术的可靠性和可重复性。严格来说,除非附有对相关测量不确定性的描述,否则测量的数值结果是没有意义的。因此,不仅需要在定量图像中生成物理性质的估计值,还需要生成其相关的不确定性。由于从原始 MR 信号确定物理性质的过程很复杂且是多步骤的,因此不确定性的估计具有挑战性,并且 MRI 过程的许多方面都需要验证。随着 qMRI 技术的临床实施及其不断扩展,该领域显然迫切需要计量学。