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数字X线摄影中的图像特征分析与计算机辅助诊断:胸部图像中后肋的自动描绘

Image feature analysis and computer-aided diagnosis in digital radiography: automated delineation of posterior ribs in chest images.

作者信息

Sanada S, Doi K, MacMahon H

机构信息

Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, University of Chicago, Illinois 60637.

出版信息

Med Phys. 1991 Sep-Oct;18(5):964-71. doi: 10.1118/1.596611.

DOI:10.1118/1.596611
PMID:1961161
Abstract

In order to facilitate computerized quantitative analysis of digital chest radiographs, an automated method for accurate delineation of posterior ribs in frontal chest images is being developed. This method is based on an analysis of vertical profiles in the lung regions and a statistical analysis of edge gradients and their orientations in small selected regions-of-interest (ROIs). A shift-variant function is fitted to vertical profiles to obtain initial estimates of locations of rib edges. Rib edges are then determined more accurately by analyzing cumulative edge gradients and their orientations in small ROIs that are located adjacent to the initially estimated edges. The present computerized method can achieve a good agreement between the detected and the actual rib structures for posterior ribs in 74% of 50 cases examined. This suggests that automated detection of posterior ribs by a computerized method is feasible, and may be useful for computer-aided diagnostic schemes in the chest.

摘要

为便于对数字化胸部X光片进行计算机定量分析,正在开发一种用于在胸部正位图像中准确描绘后肋的自动化方法。该方法基于对肺部区域垂直轮廓的分析以及对小的选定感兴趣区域(ROI)中边缘梯度及其方向的统计分析。将一个移位可变函数拟合到垂直轮廓上,以获得肋骨边缘位置的初始估计值。然后,通过分析位于初始估计边缘附近的小ROI中的累积边缘梯度及其方向,更准确地确定肋骨边缘。在所检查的50例病例中,有74%的病例采用当前的计算机方法能够使检测到的后肋与实际肋骨结构达到良好的一致性。这表明通过计算机方法自动检测后肋是可行的,并且可能对胸部的计算机辅助诊断方案有用。

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Image feature analysis and computer-aided diagnosis in digital radiography: automated delineation of posterior ribs in chest images.数字X线摄影中的图像特征分析与计算机辅助诊断:胸部图像中后肋的自动描绘
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引用本文的文献

1
Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility.数字化胸部X线片中异常不对称的计算机分析:潜在效用评估
J Digit Imaging. 1999 Feb;12(1):34-42. doi: 10.1007/BF03168625.
2
Lung segmentation in digital radiographs.数字X光片中的肺部分割
J Digit Imaging. 1994 May;7(2):79-84. doi: 10.1007/BF03168427.
3
Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme.
使用人工神经网络、判别分析和基于规则的方案减少胸部X光片中肺结节计算机检测中的假阳性。
J Digit Imaging. 1994 Nov;7(4):196-207. doi: 10.1007/BF03168540.