Analysis of Speckle Pattern Quality and Uncertainty for Cardiac Strain Measurements Using 3D Digital Image Correlation

Ferraiuoli, Paolo; Fenner, John; Narracott, Andrew

doi:10.1007/978-3-319-68195-5_96

Cited by 4 publications

(2 citation statements)

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“…Whilst the spatial resolution measurement in DIC is influenced by the choice of the subset size, the latter also has an impact on the accuracy and precision. We have previously evaluated the accuracy of the method using a zero strain test, as initially proposed by Smith et al (1998), which reported errors in strain of 1% (Ferraiuoli et al, 2018). In this study, variation of strain between five successive unloaded configurations was investigated by running a 3D-DIC analysis between images of the heart captured at the beginning of ventricular filling (reference state).…”

Section: Evaluation Of Strain Variation In the Unloaded Configurationmentioning

confidence: 99%

Full-field analysis of epicardial strain in an in vitro porcine heart platform

Ferraiuoli

Kappler

Tuijl

et al. 2019

Journal of the Mechanical Behavior of Biomedical Materials

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Section: Evaluation Of Strain Variation In the Unloaded Configurationmentioning

confidence: 99%

Full-field analysis of epicardial strain in an in vitro porcine heart platform

Ferraiuoli

Kappler

Tuijl

et al. 2019

Journal of the Mechanical Behavior of Biomedical Materials

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“…The surface of a porcine heart collected from a local abattoir was prepared for DIC analysis applying a speckle pattern using the approach described in a previous work [16]. Briefly, the cardiac surface was firstly coated with a blue dye (Methylene blue, Sigma-Aldrich Company Ltd, Dorset, UK) to create a dark background, then white speckles were applied with an airbrush (124 kPA working pressure, 0.3 mm nozzle diameter, approximately 15 cm spraying distance, Iwata Hi-Line HP-CH, Anest Iwata-Medea Inc., Portland, OR, USA.)…”

Section: Cardiac Tissue Stereo Imaging and 3d Model Generationmentioning

confidence: 99%

The Accuracy of 3D Optical Reconstruction and Additive Manufacturing Processes in Reproducing Detailed Subject-Specific Anatomy

et al. 2017

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3D reconstruction and 3D printing of subject-specific anatomy is a promising technology for supporting clinicians in the visualisation of disease progression and planning for surgical intervention. In this context, the 3D model is typically obtained from segmentation of magnetic resonance imaging (MRI), computed tomography (CT) or echocardiography images. Although these modalities allow imaging of the tissues in vivo, assessment of quality of the reconstruction is limited by the lack of a reference geometry as the subject-specific anatomy is unknown prior to image acquisition. In this work, an optical method based on 3D digital image correlation (3D-DIC) techniques is used to reconstruct the shape of the surface of an ex vivo porcine heart. This technique requires two digital charge-coupled device (CCD) cameras to provide full-field shape measurements and to generate a standard tessellation language (STL) file of the sample surface. The aim of this work was to quantify the error of 3D-DIC shape measurements using the additive manufacturing process. The limitations of 3D printed object resolution, the discrepancy in reconstruction of the surface of cardiac soft tissue and a 3D printed model of the same surface were evaluated. The results obtained demonstrated the ability of the 3D-DIC technique to reconstruct localised and detailed features on the cardiac surface with sub-millimeter accuracy.

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