4.5 Article

Supervoxel Graph Cuts: An Effective Method for GGO Candidate Regions Extraction on CT Images

Journal

IEEE CONSUMER ELECTRONICS MAGAZINE
Volume 9, Issue 1, Pages 61-66

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCE.2019.2941468

Keywords

Computed tomography; Cancer; Image registration; Three-dimensional displays; Lung; Lesions

Funding

  1. Leading Initiative for Excellent Young Researcher of MEXT-Japan [16809746]
  2. Japan Society for the Promotion of Science [17K14694, 17H02110, 26108009]
  3. Research Fund of the Telecommunications Advancement Foundation
  4. Japan-China Scientific Cooperation Program [6171101454]
  5. International Exchange Program of National Institute of Information and Communications
  6. Collaboration Project of National Institute of Informatics

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In this article, a method to reduce artifacts on temporal difference images is introduced. The proposed method uses a nonrigid registration method for ground glass opacification (GGO), which is light in concentration and difficult to detect early. In this method, global matching, local matching, and three-dimensional (3D) elastic matching are performed on the current and previous images, and an initial temporal subtraction image is generated. After that, we use an Iris filter, which is the gradient vector concentration degree filter, to determine the initial GGO candidate regions and use supervoxel and graph cuts to segment region of interest in the 3D images. For each extracted region, a support vector machine is used to reduce the oversegmentation. The voxel matching is applied to generate the final temporal difference image, emphasizing the GGO regions while reducing the artifact.

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