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首页> 外文期刊>IEEE Transactions on Medical Imaging >HANDX: a model-based system for automatic segmentation of bones from digital hand radiographs
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HANDX: a model-based system for automatic segmentation of bones from digital hand radiographs

机译：HANDX：一种基于模型的系统，用于自动从数字手部X线照片中分割骨骼

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The authors detail the design and implementation of HANDX, a model-based computer vision system used in the domain of medical image processing. Given a digitized hand radiograph, HANDX segments out specific bones and measures particular parameters of the bones, without requiring specific characterization of noise variations in background contrast and anatomical differences which arise from patient variation. Observer variability is reduced by the system, and the resulting measurement may be useful for detecting short-term skeletal growth abnormalities in children and may additional clinical applications. The overall system is modularized into three stages: preprocessing, segmentation, and measurement. In the preprocessing state model-based histogram modification is used to normalize the radiograph. The histogram model is based on the physics of the imaging process. The segmentation stage finds and outlines specific bones using domain-dependent and domain-independent knowledge of hand anatomy and physiology and image edges. The measurement stage obtains clinically useful quantitative parameters from the segmented image.
机译：作者详细介绍了HANDX的设计和实现，HANDX是一种用于医学图像处理领域的基于模型的计算机视觉系统。给定数字化的手部放射线照片，HANDX可以分割出特定的骨骼并测量骨骼的特定参数，而无需对背景对比度的噪声变化和由患者变化引起的解剖学差异进行特定表征。该系统减少了观察者的变异性，并且所得的测量结果可能对于检测儿童的短期骨骼生长异常很有用，并且可能会用于其他临床应用。整个系统被模块化为三个阶段：预处理，分段和测量。在预处理状态下，基于模型的直方图修改用于对X射线照片进行归一化。直方图模型基于成像过程的物理原理。分割阶段使用关于手的解剖学和生理学以及图像边缘的领域相关和领域独立知识来发现并勾勒出特定的骨骼。测量阶段从分割的图像中获得临床上有用的定量参数。

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