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A Modified Fuzzy Inference Rule-Based Model for 3D Speckle Tracking

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Abstract

Echocardiographic strain imaging is used to quantify cardiac deformation noninvasively through various techniques including non-rigid image registration. However, non-rigid image registration should be strong enough to deal with the poor spatiotemporal resolution of echocardiographic images. Extracting relevant features and calculating a suitable geometric transformation for the relevant features are the main parts of a registration problem. This paper aims to introduce a suitable geometric transformation for quantifying cardiac deformation based on a modified fuzzy inference system (FIS). The proposed method extracts relevant features of two echocardiographic images to generate proper rules for registration of two echocardiographic images. The modified FIS comprises two FISs in a series structure. We evaluated the performance of the proposed method for echocardiographic motion estimation with both in silico and in vivo databases. Applying the proposed method to the well-known STRAUS database resulted in 0.68 mm tracking error and 0.5 ± 3.78 relative circumferential strain error, which indicate the competitiveness of the proposed method with the state-of-the-art algorithms. In addition, the obtained results from in vivo database, CETUS, expressed the potential of the suggested algorithm for clinical application.

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Data availability

STRAUS database link: https://team.inria.fr/epione/en/data/straus/. CETUS database link: https://www.creatis.insa-lyon.fr/EvaluationPlatform/CETUS/

Notes

  1. https://team.inria.fr/epione/en/data/straus/.

  2. SIFT- Modefied Feature-based Fuzzy Registration.

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Acknowledgements

The authors wish to express their appreciations to Raheleh Davoodi for her kind advices.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran

    Monire Sheikh Hosseini & Mohammad Hassan Moradi

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  1. Monire Sheikh Hosseini
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  2. Mohammad Hassan Moradi
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Correspondence to Mohammad Hassan Moradi.

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Hosseini, M.S., Moradi, M.H. A Modified Fuzzy Inference Rule-Based Model for 3D Speckle Tracking. Int. J. Fuzzy Syst. 25, 1131–1143 (2023). https://doi.org/10.1007/s40815-022-01428-3

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