Pulmonary nodule detection in PET/CT images: Improved approach using combined nodule detection and hybrid FP reduction

Atsushi Teramoto; Hiroshi Fujita; Yoya Tomita; Katsuaki Takahashi; Osamu Yamamuro; Tsuneo Tamaki

doi:10.1117/12.912102

Pulmonary nodule detection in PET/CT images: Improved approach using combined nodule detection and hybrid FP reduction

Atsushi Teramoto
, Hiroshi Fujita
, Yoya Tomita
, Katsuaki Takahashi
, Osamu Yamamuro
, Tsuneo Tamaki

放射線学科

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

3 被引用数 (Scopus)

抄録

In this study, an automated scheme for detecting pulmonary nodules in PET/CT images has been proposed using combined detection and hybrid false-positive (FP) reduction techniques. The initial nodule candidates were detected separately from CT and PET images. FPs were then eliminated in the initial candidates by using support vector machine with characteristic values obtained from CT and PET images. In the experiment, we evaluated proposed method using 105 cases of PET/CT images that were obtained in the cancer-screening program. We evaluated true positive fraction (TPF) and FP/case. As a result, TPFs of CT and PET detections were 0.76 and 0.44, respectively. However, by integrating the both results, TPF was reached to 0.82 with 5.14 FPs/case. These results indicate that our method may be of practical use for the detection of pulmonary nodules using PET/CT images.

本文言語	英語
ホスト出版物のタイトル	Medical Imaging 2012
ホスト出版物のサブタイトル	Computer-Aided Diagnosis
DOI	https://doi.org/10.1117/12.912102
出版ステータス	出版済み - 2012
イベント	Medical Imaging 2012: Computer-Aided Diagnosis - San Diego, CA, 米国継続期間: 07-02-2012 → 09-02-2012

出版物シリーズ

名前	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
巻	8315
ISSN（印刷版）	1605-7422

その他

その他	Medical Imaging 2012: Computer-Aided Diagnosis
国/地域	米国
City	San Diego, CA
Period	07-02-12 → 09-02-12

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

電子材料、光学材料、および磁性材料
生体材料
原子分子物理学および光学
放射線学、核医学およびイメージング

文献へのアクセス

10.1117/12.912102

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引用スタイル

Teramoto, A., Fujita, H., Tomita, Y., Takahashi, K., Yamamuro, O., & Tamaki, T. (2012). Pulmonary nodule detection in PET/CT images: Improved approach using combined nodule detection and hybrid FP reduction. In Medical Imaging 2012: Computer-Aided Diagnosis 記事 83152V (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8315). https://doi.org/10.1117/12.912102

@inproceedings{a1f82fdccbea433c84c9372427db39da,

title = "Pulmonary nodule detection in PET/CT images: Improved approach using combined nodule detection and hybrid FP reduction",

abstract = "In this study, an automated scheme for detecting pulmonary nodules in PET/CT images has been proposed using combined detection and hybrid false-positive (FP) reduction techniques. The initial nodule candidates were detected separately from CT and PET images. FPs were then eliminated in the initial candidates by using support vector machine with characteristic values obtained from CT and PET images. In the experiment, we evaluated proposed method using 105 cases of PET/CT images that were obtained in the cancer-screening program. We evaluated true positive fraction (TPF) and FP/case. As a result, TPFs of CT and PET detections were 0.76 and 0.44, respectively. However, by integrating the both results, TPF was reached to 0.82 with 5.14 FPs/case. These results indicate that our method may be of practical use for the detection of pulmonary nodules using PET/CT images.",

author = "Atsushi Teramoto and Hiroshi Fujita and Yoya Tomita and Katsuaki Takahashi and Osamu Yamamuro and Tsuneo Tamaki",

year = "2012",

doi = "10.1117/12.912102",

language = "English",

isbn = "9780819489647",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

booktitle = "Medical Imaging 2012",

note = "Medical Imaging 2012: Computer-Aided Diagnosis ; Conference date: 07-02-2012 Through 09-02-2012",

}

Teramoto, A, Fujita, H, Tomita, Y, Takahashi, K, Yamamuro, O & Tamaki, T 2012, Pulmonary nodule detection in PET/CT images: Improved approach using combined nodule detection and hybrid FP reduction. in Medical Imaging 2012: Computer-Aided Diagnosis., 83152V, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 8315, Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, CA, 米国, 07-02-12. https://doi.org/10.1117/12.912102

Pulmonary nodule detection in PET/CT images: Improved approach using combined nodule detection and hybrid FP reduction. / Teramoto, Atsushi; Fujita, Hiroshi; Tomita, Yoya その他.
Medical Imaging 2012: Computer-Aided Diagnosis. 2012. 83152V (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8315).

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

TY - GEN

T1 - Pulmonary nodule detection in PET/CT images

T2 - Medical Imaging 2012: Computer-Aided Diagnosis

AU - Teramoto, Atsushi

AU - Fujita, Hiroshi

AU - Tomita, Yoya

AU - Takahashi, Katsuaki

AU - Yamamuro, Osamu

AU - Tamaki, Tsuneo

PY - 2012

Y1 - 2012

N2 - In this study, an automated scheme for detecting pulmonary nodules in PET/CT images has been proposed using combined detection and hybrid false-positive (FP) reduction techniques. The initial nodule candidates were detected separately from CT and PET images. FPs were then eliminated in the initial candidates by using support vector machine with characteristic values obtained from CT and PET images. In the experiment, we evaluated proposed method using 105 cases of PET/CT images that were obtained in the cancer-screening program. We evaluated true positive fraction (TPF) and FP/case. As a result, TPFs of CT and PET detections were 0.76 and 0.44, respectively. However, by integrating the both results, TPF was reached to 0.82 with 5.14 FPs/case. These results indicate that our method may be of practical use for the detection of pulmonary nodules using PET/CT images.

AB - In this study, an automated scheme for detecting pulmonary nodules in PET/CT images has been proposed using combined detection and hybrid false-positive (FP) reduction techniques. The initial nodule candidates were detected separately from CT and PET images. FPs were then eliminated in the initial candidates by using support vector machine with characteristic values obtained from CT and PET images. In the experiment, we evaluated proposed method using 105 cases of PET/CT images that were obtained in the cancer-screening program. We evaluated true positive fraction (TPF) and FP/case. As a result, TPFs of CT and PET detections were 0.76 and 0.44, respectively. However, by integrating the both results, TPF was reached to 0.82 with 5.14 FPs/case. These results indicate that our method may be of practical use for the detection of pulmonary nodules using PET/CT images.

UR - https://www.scopus.com/pages/publications/84874886051

UR - https://www.scopus.com/pages/publications/84874886051#tab=citedBy

U2 - 10.1117/12.912102

DO - 10.1117/12.912102

M3 - Conference contribution

AN - SCOPUS:84874886051

SN - 9780819489647

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2012

Y2 - 7 February 2012 through 9 February 2012

ER -

Pulmonary nodule detection in PET/CT images: Improved approach using combined nodule detection and hybrid FP reduction

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