Computer-aided diagnosis: a shape classification of pulmonary nodules imaged by high-resolution CT.
We investigated the possibility of using computer analysis of high-resolution CT images to radiologically classify the shape of pulmonary nodules. Using a combination of circularity and second moment as quantitative measures we were able to classify pulmonary nodules in each shape group as effectively as could a radiologist. We found that pulmonary nodules with circularity < or =0.75 and second moment < or =0.18 were very likely to reveal lung cancer.
Iwano
Shingo
S
Department of Radiology, School of Medicine, Nagoya University, Nagoya, 65 Tsurumai-cho, Shouwa-ku, Nagoya 466-8550, Japan.
Nakamura
Tatsuya
T
Kamioka
Yuko
Y
Ishigaki
Takeo
T
D000368:Aged; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007564:Japan; D008297:Male; D008875:Middle Aged; D003074:Solitary Pulmonary Nodule / Q000145:classification / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000379:methods