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基于机器学习的Calcaneus体积的估计,使用普通放射性形态测量.

Ali Utkan1,2, Emre Doğan3, Bülent Özkurt4

  • 1Ankara University, Graduate School of Health Sciences (Clinical Anatomy), Ankara, Türkiye. utkana@yahoo.com.

Folia morphologica
|June 17, 2025
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概括

一个新的公式通过简单的放射测量来估计骨的体积. 这种方法克服了以前的计算困难,为未来的解剖学和临床研究提供了一个实用的工具.

关键词:
卡尔卡尼乌斯 (calcaneus) 是一个巨大的骨头.涂层干燥的骨头的涂层机器学习是机器学习.聚会气球涂层技术的技术放射测量 放射测量 放射测量量估计量估计量估计量.水位移的体积测量方法

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科学领域:

  • 人体解剖学 解剖学 解剖学
  • 生物识别信息 生物识别信息
  • 放射学 放射学是一门学科.

背景情况:

  • 估计骨体积是具有挑战性的,现有的研究有限.
  • 准确的体积测量对于解剖学和临床应用至关重要.

研究的目的:

  • 开发一个公式,用普通的X射线图来估计骨体积.
  • 为了建立一个实际的方法来计算体体积.

主要方法:

  • 使用了来自安纳托利亚的216个干成年卡尔卡奈.
  • 通过阿基米德的水位移法计算体积.
  • 从侧向和轴向射线图中测量了多个维度,包括长度,高度和宽度.
  • 使用多重线性回归模型与Python 3.12.2衍生出公式.

主要成果:

  • 平均骨体积为55.8毫升 (SD 11.7毫升).
  • 一个多重线性回归模型产生了公式:体积 (mL) = 0.96 ×最大AP l (mm) + 0.40 ×最大体 l (mm) - 0.29 ×体 h (mm) + 0.76 ×最小体 h (mm) + 0.14 ×最大后 w (mm) + 0.48 ×最小后 w (mm) - 7.49.
  • 这个公式提供了基于放射测量的近似骨体积.

结论:

  • 衍生式为估计骨体积提供了一种可行的方法.
  • 该方法可应用于干骨样本的类似研究.