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采用一种新的经过验证的三维刚性配准算法,在1.5T条件下对髌软骨中T2弛豫时间进行基于体素的可重复性研究。

Voxel-based reproducibility of T2 relaxation time in patellar cartilage at 1.5 T with a new validated 3D rigid registration algorithm.

作者信息

Raya José G, Horng Annie, Dietrich Olaf, Weber Jürgen, Dinges Julia, Mützel Elisabeth, Reiser Maximilian F, Glaser Christian

机构信息

Josef Lissner Laboratory for Biomedical Imaging, Department of Clinical Radiology, Grosshadern, Ludwig Maximilian University of Munich, Marchioninistr. 15, 81377 Munich, Germany.

出版信息

MAGMA. 2009 Aug;22(4):229-39. doi: 10.1007/s10334-009-0168-0. Epub 2009 Apr 1.

Abstract

OBJECT

T2 relaxation time is a promising MRI parameter for the early diagnosis and follow-up of osteoarthritis. Assessing the evolution of osteoarthritis needs exact comparison of datasets acquired at different times and knowledge of the T2 reproducibility. The aims of this work were to establish a method for voxel-wise comparison of T2 datasets and to assess voxel-based T2 reproducibility in healthy patellar cartilage.

MATERIALS AND METHODS

A new rigid 3D-registration algorithm was developed. The precision of the registration algorithm was calculated with numerical simulations and in vitro measurements. In vivo T2 reproducibility was assessed in six volunteers measured at seven different times. The voxel-based reproducibility was characterized with the coefficient of variation (CV) of T2, and its regional variations were analyzed.

RESULTS

The registration algorithm showed an average registration precision lower than 25% of the voxel size. In vivo voxel-based T2 reproducibility exhibited a median CV of 10.1%. Reproducibility showed significant regional differences. Largest CVs (15.4%) were found near the articular surface. The central regions showed the lowest CVs (7.2%) and the lateral regions intermediate CVs (11.2%).

CONCLUSION

Using a rigid 3D-registration algorithm provides voxel-based T2 reproducibility errors comparable to former, 2D region-based approaches, thus opening the possibility of voxel-based monitoring of cartilage degradation in osteoarthritis.

摘要

目的

T2弛豫时间是骨关节炎早期诊断和随访中一个很有前景的磁共振成像(MRI)参数。评估骨关节炎的进展需要对不同时间获取的数据集进行精确比较,并了解T2的可重复性。本研究的目的是建立一种对T2数据集进行逐体素比较的方法,并评估健康髌软骨中基于体素的T2可重复性。

材料与方法

开发了一种新的刚性三维配准算法。通过数值模拟和体外测量计算配准算法的精度。在六名志愿者身上于七个不同时间进行测量,评估体内T2可重复性。基于体素的可重复性用T2的变异系数(CV)来表征,并分析其区域差异。

结果

配准算法显示平均配准精度低于体素大小的25%。体内基于体素的T2可重复性的中位数CV为10.1%。可重复性存在显著的区域差异。在关节面附近发现最大的CV(15.4%)。中央区域显示最低的CV(7.2%),外侧区域的CV居中(11.2%)。

结论

使用刚性三维配准算法可提供与以前基于二维区域的方法相当的基于体素的T2可重复性误差,从而为基于体素监测骨关节炎中软骨退变开辟了可能性。

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