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多模态数据对应为4D分析的脊柱与青少年异常发病性脊髓缩症

Nicolas Comte^1,2, Sergi Pujades², Aurélien Courvoisier^3,4

¹Anatoscope, 38330 Montbonnot-Saint-Martin, France.

Bioengineering (Basel, Switzerland)

|July 29, 2023

概括

这项研究引入了个性化的数字双胞胎来分析青少年异常学脊椎病 (AIS) 脊柱运动. 该方法准确地从外部运动捕捉中推断出内部脊柱动态,改善对这种3D脊柱形的理解.

科学领域:

生物医学工程生物医学工程
整形外科整形外科整形外科
医疗成像医学成像

背景情况:

青少年固态脊柱病 (AIS) 是一个复杂的3D脊柱形,在青春期发展.
目前的运动捕捉技术分析了外部患者的动态,但缺乏内部脊柱运动的洞察力.
静态3DX射线采集提供了有限的关于运动期间脊柱行为的信息.

研究的目的:

开发和验证一种方法来推断AIS患者的内部脊柱动态.
创建个性化的动力化化身,代表外部和内部脊柱形状.
为了使用运动捕捉数据更准确地分析脊柱运动.

主要方法:

利用多模式数据,包括背部表面扫描和脊柱3D重建 (EOS).
通过使用无线电不透明标记器记录内部 (3D脊柱) 和外部 (表面扫描) 观测,开发了一个特定对象的数字双胞胎.
提出了一种新的方法,可以绕过对标记物放置的精确触摸的需求.

主要成果:

开发的模型成功地从移动捕捉标记器中推断出脊柱运动.
在解剖轴上达到不到1厘米的精度,在方向分析中接近5度.
初步结果表明,在两个青少年异常学脊椎病例中,疗效.

结论:

个性化的动力化化身可以准确地表示和推断内部脊柱动力学.
这种方法提供了一种非侵入性方法,用于分析青少年异常学脊椎病的脊柱运动.
数字双胞胎模型增强了运动期间3D脊柱形的理解.

关键词:

异形性脊柱形脊髓变症异形性脊柱形脊髓变症动力学是动力学.移动捕捉是用来捕捉运动的.脊柱脊柱脊柱脊柱脊柱具体主题的建模.

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