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Authors: Francesco Ponzio ; Enrico Macii ; Elisa Ficarra and Santa Di Cataldo

Affiliation: Politecnico di Torino, Italy

Keyword(s): Neuroimaging, US-based Neuronavigation, Multi-modal Image Registration, Image Processing, MR-US Image Integration.

Abstract: US-guided neuronavigation exploits the simplicity of use and minimal invasiveness of Ultrasound (US) imaging and the high tissue resolution and signal-to-noise ratio of Magnetic Resonance Imaging (MRI) to guide brain surgeries. More specifically, the intra-operative 3D US images are combined with pre-operative MR images to accurately localise the course of instruments in the operative field with minimal invasiveness. Multimodal image registration of 3D US and MR images is an essential part of such system. In this paper, we present a complete software framework that enables the registration US and MR brain scans based on a multi resolution deformable transform, tackling elastic deformations (i.e. brain shifts) possibly occurring during the surgical procedure. The framework supports also simpler and faster registration techniques, based on rigid or affine transforms, and enables the interactive visualisation and rendering of the overlaid US and MRI volumes. The registration was experim entally validated on a public dataset of realistic brain phantom images, at different levels of artificially induced deformations. (More)

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Paper citation in several formats:
Ponzio, F.; Macii, E.; Ficarra, E. and Di Cataldo, S. (2017). A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING; ISBN 978-989-758-215-8; ISSN 2184-4305, SciTePress, pages 114-121. DOI: 10.5220/0006239201140121

@conference{bioimaging17,
author={Francesco Ponzio. and Enrico Macii. and Elisa Ficarra. and Santa {Di Cataldo}.},
title={A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING},
year={2017},
pages={114-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006239201140121},
isbn={978-989-758-215-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING
TI - A Multi-modal Brain Image Registration Framework for US-guided Neuronavigation Systems
SN - 978-989-758-215-8
IS - 2184-4305
AU - Ponzio, F.
AU - Macii, E.
AU - Ficarra, E.
AU - Di Cataldo, S.
PY - 2017
SP - 114
EP - 121
DO - 10.5220/0006239201140121
PB - SciTePress

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