Assessment of artery dilation by using image registration based on spatial features

Estanislao Oubel; Huzefa Neemuchwala; Alfred Hero; Loic Boisrobert; Martin Laclaustra; Alejandro Federico Frangi

doi:10.1117/12.595381

29 April 2005 Assessment of artery dilation by using image registration based on spatial features

Estanislao Oubel, Huzefa Neemuchwala, Alfred Hero, Loic Boisrobert, Martin Laclaustra, Alejandro Federico Frangi

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.595381
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

The use of affine image registration based on normalized mutual information (NMI) has recently been proposed by Frangi et al. as an automatic method for assessing brachial artery flow mediated dilation (FMD) for the characterization of endothelial function. Even though this method solves many problems of previous approaches, there are still some situations that can lead to misregistration between frames, such as the presence of adjacent vessels due to probe movement, muscle fibres or poor image quality. Despite its widespread use as a registration metric and its promising results, MI is not the panacea and can occasionally fail. Previous work has attempted to include spatial information into the image similarity metric. Among these methods the direct estimation of α-MI through Minimum Euclidean Graphs allows to include spatial information and it seems suitable to tackle the registration problem in vascular images, where well oriented structures corresponding to vessel walls and muscle fibres are present. The purpose of this work is twofold. Firstly, we aim to evaluate the effect of including spatial information in the performance of the method suggested by Frangi et al. by using α-MI of spatial features as similarity metric. Secondly, the application of image registration to long image sequences in which both rigid motion and deformation are present will be used as a benchmark to prove the value of α-MI as a similarity metric, and will also allow us to make a comparative study with respect to NMI.

Citation Download Citation

Estanislao Oubel, Huzefa Neemuchwala, Alfred Hero, Loic Boisrobert, Martin Laclaustra, and Alejandro Federico Frangi "Assessment of artery dilation by using image registration based on spatial features", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.595381

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