Diagonal profile analysis induced fully automatic lung CT image segmentationChinese Full Text
HOU Qing-feng;School of Radiology,Taishan Medical University;
Abstract: Objective To propose a fully automatic lung CT image segmentation method based on diagonal profile analysis.Methods Firstly,the diagonal profile was constructed,then an analysis program was implemented and the coordinates and pixel values of pixels corresponding to different anatomy structures were determined.Region growing algorithm was used to separate patient’s body area and the background using the results of diagonal profile analysis.Then grey level threshold was used to separate thoracic wall and lung fields.A series of mathematic morphology operators were used to correct the lung contours and construct lung field mask.Finally,lung field was extracted from the lung field mask and raw image.Results Totally 51 CT images were used to test our proposed algorithm and the results were compared with those segmented by experienced radiologists manually.The overlap ratio（OR）was used to evaluate the performance.The minimum OR is 95.86%,the maximum OR is 99.25%and the average OR is 97.85%.Conclusion The results illustrated that our proposed diagonal profile analysis based algorithm can segment lung CT image effectively.
- DOI：
10.13929/j.1003-3289.2014.11.040
- Series：
- Subject：
- Classification Code：
R816.4
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