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3D Shared Matting Method for Directly Extracting Standard Organ Models from Human Body Color Volume Image

Author(s):

Bin Liu, Xiaolei Niu, Xiaohui Zhang, Song Zhang, Jianxin Zhang, Wen Qi and Liang Yang*  

Abstract:


Background: In some medical applications (e.g., virtual surgery), standard human organ models are very important and useful. Now that real human body slice image sets have been collected by several countries, it is possible to obtain real standard organ models.

Introduction: Understanding how to abandon the traditional model construction method of Photoshop sketching slice by slice and directly extracting 3D models from volume images has been an interesting and challenging issue. In this paper, we propose a 3D color volume image matting method to segment human body organ models.

Method: First, we expand the scope of the known area by means of propagation. Next, we perform neighborhood sampling to find the best sampling for voxels in an unknown region and then calculate the preliminary opacity using the sampling results. Result: Finally, we obtain the final result by applying local smoothing to the image.

Conclusion: From the experimental results, we can see that our method is effective for real standard organ model extraction.

Keywords:

Human body slice, Color volume image, Image matting, 3D models, Opacity, Visualization

Affiliation:

International School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, International School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, International School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, International School of Information Science & Engineering (DUT-RUISE), Dalian University of Technology, Dalian, Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, Department of Nursing, Anshan Health School, Anshan, The Second Hospital of Dalian Medical University, Dalian Medical University, Dalian



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