Left atrial volumetric assessment using a novel automated framework for 3D echocardiography: a multi-centre analysis

Almeida, Nuno; Papachristidis, Alexandros; Pearson, Peter; Sarvari, Sebastian Imre; Engvall, Jan; Edvardsen, Thor; Monaghan, Mark; Gerard, Olivier; Samset, Eigil; D'hooge, Jan

doi:10.1093/ehjci/jew166

Cited by 6 publications

(2 citation statements)

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“…Several approaches addressing automated segmentation by tissue echogenicity differences have been introduced, e.g. left atrial volumes in 3D echocardiography [40]. Furthermore, the clinical relevance of the stitching technique is yet to be determined, and clinical studies are warranted.…”

Section: Discussionmentioning

confidence: 99%

Stitching of 3D ultrasound datasets for the determination of large thyroid volumes – phantom study part II: mechanically-swept probes

Seifert¹,

Winkens²,

Knichel³

et al. 2019

Med Ultrason

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Aims: To investigate the feasibility and accuracy of 3D-US extended field of view volumetric analyses acquired with mechanically-swept ultrasound probes with different measurement methods for large volume thyroid phantoms.Materials and methods: Fifteen thyroid phantoms with different shapes (regular, nodular, thickened isthmus) and volumes (50-400 mL) were created. Two different mechanically-swept US probes were used for the separate scanning of the left and right lobes: convex and linear probe. After specific modifications, the 3D-US datasets were stitched together to an extended field of view using predefined landmarks. Volumetric analyses were performed by conventional ellipsoid model and manual tracing methods. The correspondence of measured and reference volumes was calculated using Pearson’s correlation coefficients and limits of agreement according to Bland and Altman.Results: The C-probe proved feasible for the acquisition and processing of the three-dimensional ultrasound extended field of view images; very high levels of agreement (correlation coefficients for volume analyses: 0.9843-0.9992) were observed for all shapes and volumes investigated. The manual tracing method showed superior results in comparison to the ellipsoid model, but was more time consuming. The linear probe was only applicable for the 50 mL phantoms due to its limited field of view.Conclusions: The investigated mechanically-swept convex probe was suitable for the three-dimensional ultrasound extended field of view stitching of large volume thyroid phantoms. Accurate volume analyses could be carried out. The mechanically-swept linear probe is limited to a maximum of 50 m

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Section: Discussionmentioning

confidence: 99%

Stitching of 3D ultrasound datasets for the determination of large thyroid volumes – phantom study part II: mechanically-swept probes

Seifert¹,

Winkens²,

Knichel³

et al. 2019

Med Ultrason

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“…Sandro Queirós, Pedro Morais, Daniel Barbosa, Jaime C. Fonseca, João L. Vilaça, and Jan D'hooge M Overall, while image tracking techniques have a tremendous applicability, most existing solutions consist of independent implementations with very specific target applications. Taking the cardiology field as an example [17,[32][33][34][35][36][37][38], image tracking solutions are typically aimed at a certain modality or sequence (e.g., ultrasound, computed tomography, cine or tagged magnetic resonance sequences) with a particular image dimensionality (bi-or tridimensional sequences) and to assess a single chamber (left or right ventricle or atrium, the myocardium or a cardiac valve), thus lacking the versatility to deal with distinct end-goals without the need for methodological tailoring and/or exhaustive tuning of numerous and complex parameters.…”

Section: Mitt: Medical Image Tracking Toolboxmentioning

confidence: 99%

MITT: Medical Image Tracking Toolbox

Queirós

Morais

Barbosa

et al. 2018

IEEE Trans. Med. Imaging

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Over the years, medical image tracking has gained considerable attention from both medical and research communities due to its widespread utility in a multitude of clinical applications, from functional assessment during diagnosis and therapy planning to structure tracking or image fusion during image-guided interventions. Despite the ever-increasing number of image tracking methods available, most still consist of independent implementations with specific target applications, lacking the versatility to deal with distinct end-goals without the need for methodological tailoring and/or exhaustive tuning of numerous parameters. With this in mind, we have developed the medical image tracking toolbox (MITT)-a software package designed to ease customization of image tracking solutions in the medical field. While its workflow principles make it suitable to work with 2-D or 3-D image sequences, its modules offer versatility to set up computationally efficient tracking solutions, even for users with limited programming skills. MITT is implemented in both C/C++ and MATLAB, including several variants of an object-based image tracking algorithm and allowing to track multiple types of objects (i.e., contours, multi-contours, surfaces, and multi-surfaces) with several customization features. In this paper, the toolbox is presented, its features discussed, and illustrative examples of its usage in the cardiology field provided, demonstrating its versatility, simplicity, and time efficiency.

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