Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm

• Morita Kento

  Graduate School of Engineering, University of Hyogo

• Kobashi Syoji

  Graduate School of Engineering, University of Hyogo

• Wakata Yuki

  Hyogo College of Medicine

• Ando Kumiko

  Hyogo College of Medicine

• Morimoto Masakazu

  Graduate School of Engineering, University of Hyogo

• Ishikura Reiichi

  Hyogo College of Medicine

• Aikawa Satoru

  Graduate School of Engineering, University of Hyogo

抄録

Magnetic resonance (MR) images are widely used to diagnose cerebral diseases. MR image registration based brain shape evaluation is effective to diagnose brain diseases because the diseases may deform the brain shape, and the deformed region differs among types of diseases. This paper focuses on neonatal brain MR images, and introduces a non-rigid image registration method using sulcal-distribution index (SDI), which is calculated from MR signal on the cerebral surface. The method is based on an iterative closest point (ICP) algorithm. The proposed method will be effective for the neonatal brain because the method evaluates the correspondence of cerebral sulci distribution. Results in seven neonates (modified age was between 3 weeks and 2 years) showed that the method registered the cerebral shapes successfully.

収録刊行物

• システム制御情報学会論文誌

  システム制御情報学会論文誌 29 (5), 195-201, 2016

  一般社団法人 システム制御情報学会

キーワード

• non-rigid registration
• neonatal brain
• sulcaldistribution index
• MR image
• iterative closest point

詳細情報

• CRID: 1390282680144779008
• NII論文ID: 130005259528
• NII書誌ID: AN1013280X
• DOI: 10.5687/iscie.29.195
• ISSN: 2185811X
• ISSN: 13425668
• NDL書誌ID: 027286448
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I027286448
• Web Site: https://www.jstage.jst.go.jp/article/iscie/29/5/29_195/_pdf
• 本文言語コード: en
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