Intravascular Ultrasound image Registration based on Geometric Spatial Energy

dc.contributor.authorWatcharaphong Yookwan
dc.contributor.authorJiranun Sangrueng
dc.contributor.authorJanya Onpans
dc.contributor.authorSupawadee Srikamdee
dc.contributor.authorKrisana Chinnasarn
dc.date.accessioned2026-05-08T19:23:47Z
dc.date.issued2023-10-11
dc.description.abstractThis 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.
dc.identifier.doi10.1109/ictc58733.2023.10392837
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/19229
dc.subjectMedical Image Segmentation Techniques
dc.subjectCerebrovascular and Carotid Artery Diseases
dc.subjectCoronary Interventions and Diagnostics
dc.titleIntravascular Ultrasound image Registration based on Geometric Spatial Energy
dc.typeArticle

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