AN APPROACH TO NONRIGID US-MRI REGISTRATION OF PELVIC ORGANS FOR ENDOMETRIOSIS DIAGNOSIS

Marius-Cristian Ureche Mircea-Florin Vaida, Stefan Dragos, Loreta Suta Alin Voina
2012 · W2559628031
article OA: closed CC0 Metadata only
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Abstract

In the field of multimodal medical image registration, the main elements that researchers focus on are the transformation, the similarity metric and the optimization algorithm. There is no state-of-art registration method for pelvic organs when endometriosis is taken into consideration. This paper proposes a chain of practical implementations for the aforementioned key elements of the image registration framework so that pelvic organs and endometrial cysts are registered between ultrasound (US) and magnetic resonance imaging (MRI). For this purpose, the Free-Form Deformation (FFD) was taken into consideration as spatial transformation, in conjunction with mutual information as similarity measure and gradient descent as optimization strategy. A multi-scale image registration algorithm is implemented to increase the speed of convergence. Registration results show that our approach is feasible for multimodal medical image registration of pelvic organs.

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endometriosis

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