Shape analysis of pulmonary nodules based on thin-section CT images

Yoshiki Kawata; Noboru Niki; Hironobu Ohmatsu; Kenji Eguchi; Noriyuki Moriyama

doi:10.1117/12.274185

25 April 1997 Shape analysis of pulmonary nodules based on thin-section CT images

Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Kenji Eguchi, Noriyuki Moriyama

Proceedings Volume 3034, Medical Imaging 1997: Image Processing; (1997) https://doi.org/10.1117/12.274185
Event: Medical Imaging 1997, 1997, Newport Beach, CA, United States

Abstract

Shape characterization of small pulmonary nodules plays a significant role in differential diagnosis that discriminates malignant and benign nodules at early stages of pulmonary lesion development. This paper presents a method to characterize small pulmonary nodules based on the morphology of the development of lung lesions in thin section CT images. The feature extraction process focuses on the difference between the malignant and benign surface characteristics. Experiments to show its feasibility to improve the diagnostic accuracy are also demonstrated by applying the algorithm to eighteen cases including twelve malignant and six benign nodules.

Citation Download Citation

Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Kenji Eguchi, and Noriyuki Moriyama "Shape analysis of pulmonary nodules based on thin-section CT images", Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); https://doi.org/10.1117/12.274185

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