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

研究成果: Conference contribution

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English
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
出版ステータスPublished - 2012
イベントMedical Imaging 2012: Computer-Aided Diagnosis - San Diego, CA, United States
継続期間: 07-02-201209-02-2012

出版物シリーズ

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

Other

OtherMedical Imaging 2012: Computer-Aided Diagnosis
CountryUnited States
CitySan Diego, CA
Period07-02-1209-02-12

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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