NDLI: A Comparison between the Surface-Based and Mutual-Information-Based Methods for Co-registering SPECT and MR Images

Content Provider	IEEE Xplore Digital Library
Author	Yuan-Lin Liao Yung-Nien Sun Wan-Yuo Guo Yuan-Hwa Chou Jen-Chuen Hsieh Yu-Te Wu
Copyright Year	2007
Description	Author affiliation: Nat. Cheng Kung Univ., Tainan (Yuan-Lin Liao; Yung-Nien Sun)
Abstract	Single photon emission computed tomography (SPECT) and magnetic resonance (MR) images are two common modalities in brain imaging society. Co-registration of brain SPECT and MR images has been used extensively in a number of clinical applications. The surface-based method and the mutual-information-based method are two major co-registration methods. The former aligns two volumetric images based on the cost function derived from brain surfaces, whereas the latter matches two volumetric images based on maximizing the mutual information (MI) between intensities of two images. To the best of our knowledge, these two methods have neither been compared, nor conjointly used to register the brain SPECT and MR images. Simulation results show that the surface-based method is more robust to the large deviation of initial guesses and computationally efficient, while the Mi-based method provides better precision. The complementary features of these two methods motivated us to propose a hybrid strategy in which the surface-based method is employed to rapidly achieve a rough alignment followed by the Mi-based method for fine tuning the results. Results from simulations suggested that only two iterations of MI calculation were required after surface-based registration and thereby lots of computation efforts can be saved.
Starting Page	868
Ending Page	871
File Size	918618
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4352428
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Rough surfaces Surface roughness Brain Computational modeling Single photon emission computed tomography Magnetic resonance Magnetic resonance imaging Cost function Mutual information Registers
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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