3D Reconstruction for Lung Surface Modeling from MR Image Sequences Based on Multiple Registration Using Hough Transform(メディア工学)

• 資料種別: 記事
• タイトル: 3D Reconstruction for Lung Surface Modeling from MR Image Sequences Based on Multiple Registration Using Hough Transform
• 著者・編者: Neylor STEVO; Marcos de Sales Guerra Tsuzuki; Toshiyuki GOTOH 他
• シリーズタイトル: メディア工学
• 著者標目: Neylor STEVO; Marcos de Sales Guerra Tsuzuki; Toshiyuki GOTOH
• タイトル（掲載誌）: 映像情報メディア学会技術報告 = ITE technical report
• 巻号年月日等（掲載誌）: 36(39):2012.10
• 掲載巻: 36
• 掲載号: 39
• 掲載ページ: 9-12
• 掲載年月日（W3CDTF）: 2012-10
• ISSN（掲載誌）: 1342-6893
• ISSN-L（掲載誌）: 1342-6893
• 出版事項（掲載誌）: 東京 : 映像情報メディア学会
• 出版地（国名コード）: JP
• 本文の言語コード: eng
• 件名標目: MR imaging; Lung reconstruction; Temporal registration; Respiratory movement patterns
• NDLC: ZN33
• 対象利用者: 一般
• レポート番号（雑誌記事）: ME2012-119
• 所蔵機関: 国立国会図書館
• 請求記号: Z16-1010
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館雑誌記事索引; https://ndlsearch.ndl.go.jp
• 書誌ID（NDLBibID）: 024102811; http://id.ndl.go.jp/bib/024102811
• 整理区分コード: 632

• 要約等: 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.
• DOI: 10.11485/itetr.36.39.0_9
• オンライン閲覧公開範囲: インターネット公開
• 連携機関・データベース: 科学技術振興機構 : J-STAGE; http://www.jstage.jst.go.jp

• 要約等: 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.
• DOI: 10.11485/itetr.36.39.0_9; https://doi.org/10.11485/itetr.36.39.0_9
• 関連情報（URI）: http://id.ndl.go.jp/bib/024102811; https://ndlsearch.ndl.go.jp/books/R000000004-I024102811
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: Japan Link Center; https://japanlinkcenter.org/top; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; CiNii Articles
• 書誌ID（NDLBibID）: 024102811; http://id.ndl.go.jp/bib/024102811
• NII論文ID: 110009554684