Transformation optimization and image blending for 3D liver ultrasound series stitching

Conference paper (2020)

Authors

Yuanyuan Sun Erasmus MC
Taygun Kekec Erasmus MC
Adriaan Moelker Erasmus MC
W.J. Niessen Erasmus MC, ImPhys/Medical Imaging - AS , ImPhys/Computational Imaging - AS
T. van Walsum Erasmus MC
Research Group
ImPhys/Medical Imaging (AS) (TU Delft)
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Published Date

2020

Language

English

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Faculty

Applied Sciences

Department

ImPhys/Imaging Physics

Research Group

ImPhys/Medical Imaging

Abstract

We propose a consistent ultrasound volume stitching framework, with the intention to produce a volume with higher image quality and extended field-of-view in this work. Directly using pair-wise registrations for stitching may lead to geometric errors. Therefore, we propose an approach to improve the image alignment by optimizing a consistency metric over multiple pairwise registrations. In the optimization, we utilize transformed points to effectively compute a distance between rigid transformations. The method has been evaluated on synthetic, phantom and clinical data. The results indicate that our transformation optimization method is effective and our stitching framework has a good geometric precision. Also, the compound images have been demonstrated to have improved CNR values.

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