3D Visualization of Brain MR Images by Applying Image Interpolation Using Proportional Relationship of MBRs 


Vol. 10,  No. 3, pp. 339-346, Jun.  2003
10.3745/KIPSTB.2003.10.3.339


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  Abstract

In this paper, we propose a new method in which interpolation images are created by using a small number of axial T2-weighted images instead of using many sectional images for 3D visualization of brain MR images. For image interpolation, an important part of this process, we first segment a region of interest (ROI) that we wish to apply 3D reconstruction and extract the boundaries of segmented ROIs and MBR information. After the image size of interpolation layer is determined according to the changing rate of MBR size between top slice and bottom slice of segmented ROI, we find the corresponding pixels in segmented ROI images. Then we calculate a pixel´s intensity of interpolation image by assigning to each pixel intensity weights detected by cube interpolation method. Finally, 3D reconstruction is accomplished by exploiting feature points and 3D voxels in the created interpolation images.

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[IEEE Style]

M. Y. Song and H. J. Cho, "3D Visualization of Brain MR Images by Applying Image Interpolation Using Proportional Relationship of MBRs," The KIPS Transactions:PartB , vol. 10, no. 3, pp. 339-346, 2003. DOI: 10.3745/KIPSTB.2003.10.3.339.

[ACM Style]

Mi Young Song and Hyung Je Cho. 2003. 3D Visualization of Brain MR Images by Applying Image Interpolation Using Proportional Relationship of MBRs. The KIPS Transactions:PartB , 10, 3, (2003), 339-346. DOI: 10.3745/KIPSTB.2003.10.3.339.

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