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从临床 CT 数据中测量高分辨率皮质骨厚度。

High resolution cortical bone thickness measurement from clinical CT data.

机构信息

University of Cambridge Department of Engineering, Trumpington Street, Cambridge CB2 1PZ, UK.

出版信息

Med Image Anal. 2010 Jun;14(3):276-90. doi: 10.1016/j.media.2010.01.003. Epub 2010 Jan 25.

Abstract

The distribution of cortical bone in the proximal femur is believed to be a critical component in determining fracture resistance. Current CT technology is limited in its ability to measure cortical thickness, especially in the sub-millimetre range which lies within the point spread function of today's clinical scanners. In this paper, we present a novel technique that is capable of producing unbiased thickness estimates down to 0.3mm. The technique relies on a mathematical model of the anatomy and the imaging system, which is fitted to the data at a large number of sites around the proximal femur, producing around 17,000 independent thickness estimates per specimen. In a series of experiments on 16 cadaveric femurs, estimation errors were measured as -0.01+/-0.58mm (mean+/-1std.dev.) for cortical thicknesses in the range 0.3-4mm. This compares with 0.25+/-0.69mm for simple thresholding and 0.90+/-0.92mm for a variant of the 50% relative threshold method. In the clinically relevant sub-millimetre range, thresholding increasingly fails to detect the cortex at all, whereas the new technique continues to perform well. The many cortical thickness estimates can be displayed as a colour map painted onto the femoral surface. Computation of the surfaces and colour maps is largely automatic, requiring around 15min on a modest laptop computer.

摘要

股骨近端皮质骨的分布被认为是决定骨折抵抗力的关键因素。目前的 CT 技术在测量皮质厚度方面能力有限,特别是在亚毫米范围内,这处于当今临床扫描仪的点扩散函数范围内。在本文中,我们提出了一种新的技术,能够产生无偏的厚度估计值,低至 0.3mm。该技术依赖于解剖结构和成像系统的数学模型,该模型适用于股骨近端的大量位置的数据,为每个标本产生约 17000 个独立的厚度估计值。在对 16 具尸体股骨的一系列实验中,对于 0.3-4mm 范围内的皮质厚度,测量到的估计误差为-0.01+/-0.58mm(平均值+/-1std.dev.)。与简单的阈值法相比,这一误差为 0.25+/-0.69mm,与 50%相对阈值方法的变体相比,误差为 0.90+/-0.92mm。在临床相关的亚毫米范围内,阈值法越来越无法检测到皮质,而新技术仍能很好地执行。许多皮质厚度估计值可以显示为绘制在股骨表面的彩色地图。表面和彩色地图的计算主要是自动的,在一台普通的笔记本电脑上大约需要 15 分钟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b9d/2868358/b5f7f3aba840/gr1.jpg

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