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Intravascular Ultrasound image Registration based on Geometric Spatial Energy
Author(s)
Yookwan, Watcharaphong
Sangrueng, Jiranun
Onpans, Janya
Srikamdee, Supawadee
Chinnasarn, Krisana
Date Issued
January 1, 2023
Type
Conference Paper
Abstract
This paper introduces a novel method for intravascular ultrasound (IVUS) image registration based on geometric spatial energy. By combining geometric vessel features with spatial energy computations, the proposed approach achieves accurate image alignment, even in the presence of vessel deformations. Key geometric features serve as reference points, guiding the optimization process to minimize spatial energy and achieve optimal image correspondence. Extensive experiments on diverse IVUS image pairs demonstrate the method's superior performance over traditional techniques, promising enhanced clinical applications in vessel analysis and treatment planning. The performance of the proposed method are 10.33 of MSE, 10.55 of HD, and 0.15 of TRE, respectively.
Citation
International Conference on ICT Convergence, 811-815, 2023