Automatic segmentation of pulmonary fissures is a nontrivial task in CT(Computer Tomography) chest images

due to incomplete

disrupted

deformed and accessory fissures.In this paper

we present a approach to fuse pulmonary structure characteristics for fissure segmentation.Firstly

we fuse the prior knowledge of trachea and pulmonary arteries to identify fissure region of interest.Then fissures directional field is exploited to enhance fissures and a multi-plane filter is proposed to remove noise for fissure pre-segmentation.Finally fissure region of interest and fissure pre-segmentation are combined for fissure segmentation.Compared with manual fissure references

our method obtained a high segmentation accuracy with median

F

1

-score of 0.881 and 0.878 fo

r the left and right lung images respectively.