Fusion of 3D real-time echocardiography and cine MRI using a saliency analysis

Autor: Eduardo Romero, Antoine Simon, Erwan Donal, Mireille Garreau, Mathieu Lederlin, Angélica Atehortúa
Přispěvatelé: Laboratoire Traitement du Signal et de l'Image (LTSI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Universidad Nacional de Colombia [Bogotà] (UNAL), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Jonchère, Laurent
Rok vydání: 2019
Předmět:
Dynamic time warping
Similarity (geometry)
Matching (graph theory)
Computer science
Heart Ventricles
0206 medical engineering
Biomedical Engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image registration
Magnetic Resonance Imaging
Cine
Health Informatics
02 engineering and technology
Multimodal Imaging
030218 nuclear medicine & medical imaging
Set (abstract data type)
03 medical and health sciences
0302 clinical medicine
Imaging
Three-Dimensional
Cardiac cine MRI images
Humans
Radiology
Nuclear Medicine and imaging
[SDV.IB] Life Sciences [q-bio]/Bioengineering
Cross-correlation
business.industry
Pattern recognition
Heart
General Medicine
Spatio-temporal saliency
020601 biomedical engineering
Computer Graphics and Computer-Aided Design
Computer Science Applications
Hausdorff distance
Echocardiography
Surgery
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Computer Vision and Pattern Recognition
Artificial intelligence
Focus (optics)
business
Cardiomyopathies
Algorithms
Zdroj: International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2020, 15 (2), pp.277-285. ⟨10.1007/s11548-019-02087-w⟩
International Journal of Computer Assisted Radiology and Surgery, 2020, 15 (2), pp.277-285. ⟨10.1007/s11548-019-02087-w⟩
ISSN: 1861-6429
1861-6410
DOI: 10.1007/s11548-019-02087-w⟩
Popis: International audience; Purpose - This paper presents a novel 3D multimodal registration strategy to fuse 3D real-time echocardiography images with cardiac cine MRI images. This alignment is performed in a saliency space, which is designed to maximize similarity between the two imaging modalities. This fusion improves the quality of the available information. Methods - The method performs in two steps: temporal and spatial registrations. A temporal alignment is firstly achieved by nonlinearly matching pairs of correspondences between the two modalities using a dynamic time warping. A temporal registration is then carried out by applying nonrigid transformations in a common saliency space where normalized cross correlation between temporal pairs of salient volumes is maximized. Results - The alignment performance was evaluated with a set of 18 subjects, 3 with cardiomyopathies and 15 healthy, by computing the Dice score and Hausdorff distance with respect to manual delineations of the left ventricle cavity in both modalities. A Dice score and Hausdorff distance of [Formula: see text] and [Formula: see text], respectively, were obtained. In addition, the deformation field was estimated by quantifying its foldings, obtaining a 98% of regularity in the deformation field. Conclusions - The 3D multimodal registration strategy presented is performed in a saliency space. Unlike state-of-the-art methods, the presented one takes advantage of the temporal information of the heart to construct this common space, ending up with two well-aligned modalities and regular deformation fields. This preliminary study was evaluated on heterogeneous data composed of two different datasets, healthy and pathological cases, showing similar performances in both cases. Future work will focus on testing the presented strategy in a larger dataset with a balanced number of classes.
Databáze: OpenAIRE
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