Skull-based registration of intra-subject CT images: The effects of different resolutions and partial contents

Yuan Lin Liao, Yung-Nien Sun, Chia Feng Lu, Yu Te Wu, Chieh Tsai Wu, Shih Tseng Lee, Jiann Der Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology
Pages269-272
Number of pages4
DOIs
Publication statusPublished - 2010 Jul 16
Event2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010 - Chengdu, China
Duration: 2010 Apr 162010 Apr 18

Publication series

NameICBBT 2010 - 2010 International Conference on Bioinformatics and Biomedical Technology

Other

Other2010 International Conference on Bioinformatics and Biomedical Technology, ICBBT 2010
CountryChina
CityChengdu
Period10-04-1610-04-18

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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