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体视学在定量放射学中的益处。

The benefit of stereology for quantitative radiology.

作者信息

Roberts N, Puddephat M J, McNulty V

机构信息

Magnetic Resonance and Image Analysis Research Centre (MARIARC), University of Liverpool, UK.

出版信息

Br J Radiol. 2000 Jul;73(871):679-97. doi: 10.1259/bjr.73.871.11089458.

Abstract

A knowledge of stereology (i.e. proper sampling), the opportunities provided by computers for image analysis (i.e. image segmentation, image registration, data base exploration, 3D reconstruction), and the strengths (i.e. non-invasive) and limitations (i.e. finite resolution, image artefacts) of medical imaging equipment must all be combined for reliable quantitative magnetic resonance imaging (MRI), the goal of which is to obtain a deeper understanding of the structure, function, life cycle and evolution of the human body, especially the brain, and a more objective diagnosis of disease and assessment of its response to treatment. In this article we illustrate the first of these requirements. We describe the application of proper sampling strategies and efficient computer-based counting procedures for obtaining unbiased estimates of volume by the Cavalieri method and of surface area from vertical sections. In particular, we estimate the volume of a brain tumour from Cavalieri sections, the volume of grey matter in the cerebral hemispheres from Cavalieri slices and the surface area of the cerebral cortex from vertical sections. The estimates obtained are mathematically unbiased. In each case, we assess the precision of the estimates empirically. Application of formulae available for predicting the precision of volume estimates obtained using the Cavalieri sections and slices methods is also described.

摘要

要实现可靠的定量磁共振成像(MRI),必须将体视学知识(即适当抽样)、计算机提供的图像分析机会(如图像分割、图像配准、数据库探索、三维重建)以及医学成像设备的优势(即非侵入性)和局限性(即有限分辨率、图像伪影)结合起来。定量磁共振成像的目标是更深入地了解人体,尤其是大脑的结构、功能、生命周期和演变,并对疾病进行更客观的诊断及其对治疗反应的评估。在本文中,我们阐述了这些要求中的第一个。我们描述了适当抽样策略和基于计算机的高效计数程序的应用,通过卡瓦列里方法获得体积的无偏估计,以及从垂直切片获得表面积的无偏估计。特别是,我们从卡瓦列里切片估计脑肿瘤的体积,从卡瓦列里薄片估计大脑半球灰质的体积,从垂直切片估计大脑皮层的表面积。所获得的估计在数学上是无偏的。在每种情况下,我们通过实验评估估计的精度。还描述了可用于预测使用卡瓦列里切片和薄片方法获得的体积估计精度的公式的应用。

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