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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概要

• 論文の詳細を見る

• To easily recognize a prostate cancer in MR images, we propose a method for combining T2-weighted MR images with histopathologic findings using B-spline based nonrigid registration. First, density correction is performed to prevent a mistake which a hemorrhage is considered as a tumor on T2-weighted MR images. Then two or four tissue sections of histopathology image are combined to produce a single image. Second, mutual information-based rigid registration is performed to align MR and histopathology images. Third, B-spline based nonrigid registration is used for correcting the deformable motion of the prostate. Finally, intensity intermixing and histopathology findings overlaying are provided to visualize aligned images efficiently. After finishing our registrations, the average distance difference error of contour in initial misalignment was reduced from 1.78mm to 0.9mm.

• 社団法人電子情報通信学会の論文
• 2009-01-12

著者

• Hong Helen

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

• Hwang Sung

  Department Of Electronics And Computer Engineering Korea University

• Lee Hack

  Department Of Radiology Seoul National University Bundang Hospital

• Hwang Sung

  Department Of Radiology Seoul National University Bundang Hospital

• Jung Julip

  Division of Multimedia Engineering, Seoul Women's University

• Jung Julip

  Division Of Multimedia Engineering Seoul Women's University

• Hwang Sung

  Department of Electronics & Computer Engineering, Korea University, Anam, Sungbuk, Seoul 136-701, Korea

• LEE Hack

  Department of Neurosurgery, College of Medicine, Korea University

• Hwang Sung

  Department of Electronic and Computer Engineering, Korea University, Anam, Sungbuk, Seoul 136-075, Korea

• Hwang Sung

  Department of Chemistry, Sahmyook University

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