Skull-based registration of intra-subject CT images: The effects of different resolutions and partial contents: 2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010

Yuan-Lin Liao, Yung-Nien Sun, Chia-Feng Lu, Yu-Te Wu, Chieh-Tsai Wu, Shih-Tseng Lee, Jiann-Der Lee, Int. Assoc. Comput. Sci. Inf. Technol. (IACSIT)

研究成果: 會議貢獻類型其他

2 引文 斯高帕斯(Scopus)

摘要

The performance of a skull-based image registration is assessed for aligning intra-subject computed tomography (CT) images. Images with six levels of resolution are provided. The images with coarser resolution are resampled, followed by thresholding all images to extract the skull as the matching feature. Using the finest image as the reference, the skull-based registration is processed with sum of squared difference (SSD) criterion. In addition, images with partial contents are simulated and served as the floating image to investigate the interaction between different levels of resolution and partial contents. We conclude that a successful registration requires that more than half of the content should be preserved and the differences of image resolution between two images should be less than 16 times. © 2010 IEEE.
原文英語
頁面269-272
頁數4
DOIs
出版狀態已發佈 - 2010
對外發佈Yes

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