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Published in: International Journal of Computer Assisted Radiology and Surgery 1/2014

01-01-2014 | Original Article

Hybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study

Authors: Atsushi Teramoto, Hiroshi Fujita, Katsuaki Takahashi, Osamu Yamamuro, Tsuneo Tamaki, Masami Nishio, Toshiki Kobayashi

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 1/2014

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Abstract

Purpose

In this study, an automated scheme for detecting pulmonary nodules using a novel hybrid PET/CT approach is proposed, which is designed to detect pulmonary nodules by combining data from both sets of images.

Methods

Solitary nodules were detected on CT by a cylindrical filter that we developed previously, and in the PET imaging, high-uptake regions were detected automatically using thresholding based on standardized uptake values along with false-positive reduction by means of the anatomical information obtained from the CT images. Initial candidate nodules were identified by combining the results. False positives among the initial candidates were eliminated by a rule-based classifier and three support vector machines on the basis of the characteristic features obtained from CT and PET images.

Results

We validated the proposed method using 100 cases of PET/CT images that were obtained during a cancer-screening program. The detection performance was assessed by free-response receiver operating characteristic (FROC) analysis. The sensitivity was 83.0 % with the number of false positives/case at 5.0, and it was 8 % higher than the sensitivity of independent detection systems using CT or PET images alone.

Conclusion

   Detection performance indicates that our method may be of practical use for the identification of pulmonary nodules in PET/CT images.
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Metadata
Title
Hybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study
Authors
Atsushi Teramoto
Hiroshi Fujita
Katsuaki Takahashi
Osamu Yamamuro
Tsuneo Tamaki
Masami Nishio
Toshiki Kobayashi
Publication date
01-01-2014
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 1/2014
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-013-0910-y

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