Multiview RT3D Echocardiography Image Fusion

Authors:
Kashif Rajpoot;J. Alison Noble;Vicente Grau;Cezary Szmigielski;Harald Becher
Affiliations:
Institute of Biomedical Engineering, University of Oxford, Oxford, UK;Institute of Biomedical Engineering, University of Oxford, Oxford, UK;Institute of Biomedical Engineering, University of Oxford, Oxford, UK and Oxford e-Research Centre, University of Oxford, Oxford, UK;Department of Cardiovascular Medicine, University of Oxford, Oxford, UK;Department of Cardiovascular Medicine, University of Oxford, Oxford, UK
Venue:
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Year:
2009

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Abstract

Real-time three-dimensional echocardiography (RT3DE) permits the acquisition and visualization of the beating heart in 3D. However, its actual utility is limited due to missing anatomical structures and limited field-of-view (FOV). We present an automatic two-stage registration and fusion method to integrate multiple single-view RT3DE images. The registration scheme finds a rigid transformation by using a multiresolution algorithm. The fusion is based on the 3D wavelet transform, utilizing the separation of the image into low- and high-frequency wavelet subbands. The qualitative and quantitative results, from 12 subjects, demonstrate that the proposed fusion framework helps in: (i) filling-in missing anatomical information, (ii) extending the FOV, and (iii) increasing the structural information and image contrast.