Suppr超能文献

基于MRI的可靠股骨框架结构,用于肌肉位置随访。

Reliable femoral frame construction based on MRI dedicated to muscles position follow-up.

作者信息

Dubois G, Bonneau D, Lafage V, Rouch P, Skalli W

机构信息

LBM/Institut de Biomécanique Humaine Georges Charpark, Arts et Metiers ParisTech, 151 boulevard de l'Hôpital, 75013, Paris, France.

NYU Hospital for Joint Diseases, 306 E. 15th St, Suite 1F, New York, NY, 10003, USA.

出版信息

Med Biol Eng Comput. 2015 Oct;53(10):921-8. doi: 10.1007/s11517-015-1302-y. Epub 2015 May 8.

Abstract

In vivo follow-up of muscle shape variation represents a challenge when evaluating muscle development due to disease or treatment. Recent developments in muscles reconstruction techniques indicate MRI as a clinical tool for the follow-up of the thigh muscles. The comparison of 3D muscles shape from two different sequences is not easy because there is no common frame. This study proposes an innovative method for the reconstruction of a reliable femoral frame based on the femoral head and both condyles centers. In order to robustify the definition of condylar spheres, an original method was developed to combine the estimation of diameters of both condyles from the lateral antero-posterior distance and the estimation of the spheres center from an optimization process. The influence of spacing between MR slices and of origin positions was studied. For all axes, the proposed method presented an angular error lower than 1° with spacing between slice of 10 mm and the optimal position of the origin was identified at 56 % of the distance between the femoral head center and the barycenter of both condyles. The high reliability of this method provides a robust frame for clinical follow-up based on MRI .

摘要

在评估因疾病或治疗导致的肌肉发育时,对肌肉形状变化进行体内随访是一项挑战。肌肉重建技术的最新进展表明,磁共振成像(MRI)可作为大腿肌肉随访的临床工具。由于不存在共同的框架,比较来自两个不同序列的三维肌肉形状并不容易。本研究提出了一种基于股骨头和两个髁中心重建可靠股骨框架的创新方法。为了强化髁球的定义,开发了一种原始方法,将根据前后外侧距离估计两个髁的直径与通过优化过程估计球心相结合。研究了磁共振切片间距和原点位置的影响。对于所有轴,所提出的方法在切片间距为10毫米时呈现出低于1°的角度误差,并且原点的最佳位置确定在股骨头中心与两个髁重心之间距离的56%处。该方法的高可靠性为基于MRI的临床随访提供了一个稳健的框架。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验