The Visualization of the Lung Perfusion on Chest CT Images

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概要

• 論文の詳細を見る

• We propose a new subtraction technique for accurately imaging lung perfusion and efficiently detecting pulmonary embolism in chest CT angiography. For the registration of a pair of CT images, a proper geometrical transformation is found through the four main steps. Our method has been successfully applied to ten patients of pre- and post-contrast images in chest CT angiography. Experimental results show that the performance of our method is very promising compared with conventional methods with the aspects of its visual inspection, accuracy and processing time.

• 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

  Seoul Women's Univ. Seoul Kor

• 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

• Kim Namkug

  Dept. Of Radiology Asan Hospital

• YIM Yeny

  School of Computer Science and Engineering, Seoul National University

• SEO Joonbeom

  Dept. of Radiology, Asan Hospital

• Seo Joonbeom

  Dept. Of Radiology Asan Hospital

• 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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