3D Reconstruction for Lung Surface Modeling from MR Image Sequences Based on Multiple Registration Using Hough Transform

• STEVO Neylor

  Faculty of Environment and Informatics Sciences, Yokohama National University:Escola Politecnica da Universidade de Sao Paulo

• Tsuzuki Marcos de Sales Guerra

  Escola Politecnica da Universidade de Sao Paulo

• GOTOH Toshiyuki

  Faculty of Environment and Informatics Sciences, Yokohama National University

• KAGEI Seiichiro

  Faculty of Environment and Informatics Sciences, Yokohama National University

• IWASAWA Tae

  Kanagawa Cardiovascular Respiratory Center

抄録

This work addresses the reconstruction for an animated lung surface modeling by using respiratory motion patterns from temporal image sequences of MR (Magnetic Resonance), which were acquired in free breathing. Since a temporal image sequence represents a spatio-temporal volume, coronal and sagittal images have in common a vertical line in space. The multiple registration is based on the registration of the common vertical line among multiple coronal and sagittal temporal image sequences. A temporal sequence associated with the common vertical line defines a 2D spatio-temporal (2DST) image where respiratory motion is detected using Hough transform and active contours. Then, the coincidence points between respiratory motions are searched by finding consistency among common vertical lines in order to reconstruct the 3D lung surface model. The experimental results are shown to evaluate the proposed method.

収録刊行物

• 映像情報メディア学会技術報告

  映像情報メディア学会技術報告 36.39 (0), 9-12, 2012

  一般社団法人 映像情報メディア学会

キーワード

• MR imaging
• Lung reconstruction
• Temporal registration
• Respiratory movement patterns

詳細情報

• CRID: 1390282679505223296
• NII論文ID: 110009554684
• NII書誌ID: AN1059086X
• DOI: 10.11485/itetr.36.39.0_9
• ISSN: 24241970
• ISSN: 13426893
• NDL書誌ID: 024102811
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I024102811
• 本文言語コード: en
• データソース種別:
  • JaLC
  • NDL
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可