Share Email Print

Proceedings Paper

Automated detection of lung tumors in PET/CT images using active contour filter
Author(s): Atsushi Teramoto; Hayato Adachi; Masakazu Tsujimoto; Hiroshi Fujita; Katsuaki Takahashi; Osamu Yamamuro; Tsuneo Tamaki; Masami Nishio; Toshiki Kobayashi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In a previous study, we developed a hybrid tumor detection method that used both computed tomography (CT) and positron emission tomography (PET) images. However, similar to existing computer-aided detection (CAD) schemes, it was difficult to detect low-contrast lesions that touch to the normal organs such as the chest wall or blood vessels in the lung. In the current study, we proposed a novel lung tumor detection method that uses active contour filters to detect the nodules deemed "difficult" in previous CAD schemes. The proposed scheme detects lung tumors using both CT and PET images. As for the detection in CT images, the massive region was first enhanced using an active contour filter (ACF), which is a type of contrast enhancement filter that has a deformable kernel shape. The kernel shape involves closed curves that are connected by several nodes that move iteratively in order to enclose the massive region. The final output of ACF is the difference between the maximum pixel value on the deformable kernel, and pixel value on the center of the filter kernel. Subsequently, the PET images were binarized to detect the regions of increased uptake. The results were integrated, followed by the false positive reduction using 21 characteristic features and three support vector machines. In the experiment, we evaluated the proposed method using 100 PET/CT images. More than half of nodules missed using previous methods were accurately detected. The results indicate that our method may be useful for the detection of lung tumors using PET/CT images.

Paper Details

Date Published: 20 March 2015
PDF: 6 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94142V (20 March 2015); doi: 10.1117/12.2081680
Show Author Affiliations
Atsushi Teramoto, Fujita Health Univ. (Japan)
Hayato Adachi, Fujita Health Univ. (Japan)
Masakazu Tsujimoto, Fujita Health Univ. (Japan)
Hiroshi Fujita, Gifu Univ. School of Medicine (Japan)
Katsuaki Takahashi, East Nagoya Imaging Diagnosis Ctr. (Japan)
Osamu Yamamuro, East Nagoya Imaging Diagnosis Ctr. (Japan)
Tsuneo Tamaki, East Nagoya Imaging Diagnosis Ctr. (Japan)
Masami Nishio, Nagoya Radiological Diagnosis Ctr. (Japan)
Toshiki Kobayashi, Nagoya Radiological Diagnosis Ctr. (Japan)

Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?