通过三维分形分析测量锝气体单光子发射计算机断层扫描图像上的异质性分布。

Measurement of heterogeneous distribution on Technegas SPECT images by three-dimensional fractal analysis.

作者信息

Nagao Michinobu, Murase Kenya

机构信息

Department of Radiology, Matsuyama Medical Center for Cancer and Cardiovascular Disease, Ehime, Japan.

出版信息

Ann Nucl Med. 2002 Sep;16(6):369-76. doi: 10.1007/BF02990073.

DOI:10.1007/BF02990073

PMID:12416574

Abstract

This review article describes a method for quantifying heterogeneous distribution on Technegas (99mTc-carbon particle radioaerosol) SPECT images by three-dimensional fractal analysis (3D-FA). Technegas SPECT was performed to quantify the severity of pulmonary emphysema. We delineated the SPECT images by using five cut-offs (15, 20, 25, 30 and 35% of the maximal voxel radioactivity), and measured the total number of voxels in the areas surrounded by the contours obtained with each cut-off level. We calculated fractal dimensions from the relationship between the total number of voxels and the cut-off levels transformed into natural logarithms. The fractal dimension derived from 3D-FA is the relative and objective measurement, which can assess the heterogeneous distribution on Technegas SPECT images. The fractal dimension strongly correlate pulmonary function in patients with emphysema and well documented the overall and regional severity of emphysema.

摘要

这篇综述文章描述了一种通过三维分形分析（3D-FA）对锝气体（99mTc-碳颗粒放射性气溶胶）单光子发射计算机断层扫描（SPECT）图像上的异质分布进行量化的方法。进行锝气体SPECT以量化肺气肿的严重程度。我们使用五个截止值（最大体素放射性的15%、20%、25%、30%和35%）勾勒出SPECT图像，并测量在每个截止水平获得的轮廓所包围区域内的体素总数。我们根据体素总数与转换为自然对数的截止水平之间的关系计算分形维数。从3D-FA得出的分形维数是一种相对客观的测量方法，可评估锝气体SPECT图像上的异质分布。分形维数与肺气肿患者的肺功能密切相关，并很好地记录了肺气肿的整体和局部严重程度。