Automated 3-D Cardiac Segmentation using Search Rays(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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概要

• 論文の詳細を見る

• Medical image segmentation is indispensable for the study of diseases, but requires additional input from the user to overcome the noise and diversity of anthropotomy, and strongly influenced by the user's subjectivity. We propose an automated 3-D cardiac segmentation algorithm using search rays, which determine the area of a heart from CT volume data by measuring the radiodensity and its continuity along the paths of cast rays. The end points of each path constitute the mesh model of a pericardium. This result can be directly used for medical applications or utilized for guiding further segmentation.

• 一般社団法人電子情報通信学会の論文
• 2009-01-12

著者

• Park Jinah

  Computer Graphics & Visualization Laboratory School Of Engineering Icu

• Park Jinah

  Computer Graphics And Visualization Laboratory Information And Communications University

• Kim Seokyeol

  Computer Graphics and Visualization Laboratory, Information and Communications University

• Kim Jaeil

  Computer Graphics and Visualization Laboratory, Information and Communications University

• Kim Jaeil

  Computer Graphics And Visualization Laboratory Information And Communications University

• Kim Seokyeol

  Computer Graphics And Visualization Laboratory Information And Communications University

関連論文

• Real-time area-based haptic rendering and the augmented tactile display device for a palpation simulator
• Automated 3-D Cardiac Segmentation using Search Rays(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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