Volume Calculation of CT lung Lesions based on Halton Low-discrepancy Sequences
Volume calculation from the Computed Tomography (CT) lung lesions data is a significant parameter for clinical diagnosis. The volume is widely used to assess the severity of the lung nodules and track its progression, however, the accuracy and efficiency of previous studies are not well achieved for...
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Main Authors | , , |
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Format | Journal Article |
Language | English |
Published |
06.06.2017
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Subjects | |
Online Access | Get full text |
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Summary: | Volume calculation from the Computed Tomography (CT) lung lesions data is a
significant parameter for clinical diagnosis. The volume is widely used to
assess the severity of the lung nodules and track its progression, however, the
accuracy and efficiency of previous studies are not well achieved for clinical
uses. It remains to be a challenging task due to its tight attachment to the
lung wall, inhomogeneous background noises and large variations in sizes and
shape. In this paper, we employ Halton low-discrepancy sequences to calculate
the volume of the lung lesions. The proposed method directly compute the volume
without the procedure of three-dimension (3D) model reconstruction and surface
triangulation, which significantly improves the efficiency and reduces the
complexity. The main steps of the proposed method are: (1) generate a certain
number of random points in each slice using Halton low-discrepancy sequences
and calculate the lesion area of each slice through the proportion; (2) obtain
the volume by integrating the areas in the sagittal direction. In order to
evaluate our proposed method, the experiments were conducted on the sufficient
data sets with different size of lung lesions. With the uniform distribution of
random points, our proposed method achieves more accurate results compared with
other methods, which demonstrates the robustness and accuracy for the volume
calculation of CT lung lesions. In addition, our proposed method is easy to
follow and can be extensively applied to other applications, e.g., volume
calculation of liver tumor, atrial wall aneurysm, etc. |
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DOI: | 10.48550/arxiv.1706.01644 |