Tracking Lung Boundary in Chest CT Images using Scan Line Search

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概要

• 論文の詳細を見る

• To segment low density lung regions in chest CT images, most of methods use the difference in gray-level value of pixels. However, high density pulmonary vessels and pleural nodules are often excluded from the segmented result. For smoothing segmented lung boundary in chest CT images, we propose a scan line search which allows us to track the points on lung contour and find rapidly changing curvature efficiently. Our method has been applied to six patients with pulmonary nodules. The result shows that the smoothness of lung contour was considerably increased after applying proposed method.

• 社団法人電子情報通信学会の論文
• 2007-01-19

著者

• Hong Helen

  Division of Multimedia Engineering, Seoul Women's University

• Hong Helen

  Division Of Multimedia Engineering College Of Information And Media Seoul Women's University

• YIM Yeny

  School of Computer Science and Engineering, Seoul National University

• Yim Yeny

  School Of Computer Science And Engineering Seoul National University

関連論文

• Automatic Lung Nodule Registration in Serial CT Scans(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
• Image Registration Techniques and its Applications to CAD(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
• Tracking Lung Boundary in Chest CT Images using Scan Line Search
• The Visualization of the Lung Perfusion on Chest CT Images
• Automatic Prostate Segmentation using Shape and Gradient Information in MR Images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
• Automatic Myocardial Segmentation of the Left Ventricle in Cardiac CT Dataset(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
• Interactive Segmentation and Visualization of the Lung using Graphics Hardware-based Level Set Method
• MR and Histopathology Image Fusion using Nonrigid Registration and Combined Visualization(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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