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Experimental Validation of an Elastic Registration Algorithm for Ultrasound Images (2007)
BibTeX
@MISC{Leung07experimentalvalidation,
author = {Corina Leung},
title = {Experimental Validation of an Elastic Registration Algorithm for Ultrasound Images},
year = {2007}
}
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Abstract
Ultrasound is a favorable tool for intra-operative surgical guidance due to its fast imaging speed and non-invasive nature. However, deformations of the anatomy caused by breathing, heartbeat, and movement of the patient make it difficult to track the location of anatomical landmarks during intra-operative ultrasound-guided interven-tions. While elastic registration can be used to compensate for image misalignment, its adaptation for clinical use has only been gradual due to the lack of standardized guidelines to quantify the performance of different registration techniques. Evaluation of elastic registration algorithms is a difficult task since the point to point correspondence between images is usually unknown. This poses a major challenge in the validation of non-rigid registration techniques for performance com-parisons. Current validation guidelines for non-rigid registration algorithms exist for the comparison of techniques for magnetic resonance images of the brain. These frameworks provide users with standardized brain datasets and performance measures based on brain region alignment, intensity differences between images, and inverse
Keyphrases
elastic registration algorithm ultrasound image experimental validation current validation guideline intra-operative surgical guidance standardized brain datasets standardized guideline anatomical landmark difficult task favorable tool elastic registration magnetic resonance image performance measure image misalignment intra-operative ultrasound-guided interven-tions clinical use non-rigid registration algorithm fast imaging speed brain region alignment major challenge non-rigid registration technique intensity difference performance com-parisons different registration technique non-invasive nature
