Wave intensity wall analysis: a novel noninvasive method to measure wave intensity

Larsson, Matilda; Bjällmark, Anna; Lind, Britta; Balzano, Rita; Peolsson, Michael; Winter, Reidar; Brodin, Lärs-Åke

doi:10.1007/s00380-008-1112-3

Cited by 15 publications

(8 citation statements)

References 24 publications

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“…[13][14][15][16] Though STI was initially developed to assess ventricular function, STI technology has also been used to evaluate the elastic properties of the carotid artery and the thoracic and abdominal aorta. [17][18][19] To date, studies attempting to use STI to measure proximal aortic compliance are lacking. The objective of our study was to determine 1) if STI can be used to quantify proximal aortic compliance and 2) if decreased aortic compliance determined by STI will reproduce a previously reported correlation with diastolic function.…”

Section: Résumémentioning

confidence: 99%

Proximal aortic compliance and diastolic function assessed by speckle tracking imaging

Gregory

Dobson

2013

Can J Anesth/J Can Anesth

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Purpose Speckle tracking imaging (STI) is a recent technique that evaluates an echocardiographic image throughout the cardiac cycle and provides dynamic variables such as tissue velocities and strain rates. The objective of our study was to determine 1) if STI can be used to quantify proximal aortic compliance and 2) if decreased aortic compliance determined by STI will reproduce the previously reported correlation with diastolic function. Methods This was a retrospective observational case series using previously obtained intraoperative transesophageal images. Diastolic performance was quantified by STI-based longitudinal velocities of the basal-septal and basal-lateral walls of the left ventricle in early diastole (LV E 0 ). Change in proximal aortic volume was calculated using STI to measure peak longitudinal and radial velocities in early diastole. After normalizing for mean arterial pressure, compliance was calculated and then compared with basal-septal and basal-lateral LV E 0 using single regression analysis.Results Twenty patients were included in our analysis. Linear regression of basal-septal LV E 0 and basal-lateral LV E 0 vs proximal aortic compliance during diastole each resulted in an R 2 value of 0.26 (P \ 0.05). Conclusion Speckle tracking can be used to describe the physical motion of the aortic wall and to calculate its compliance. We confirm that variation in diastolic function can be attributed, in part, to aortic compliance. Our novel approach of measuring compliance throughout the cardiac cycle, isolating radial and longitudinal contributions, and evaluating previously obtained images retrospectively provides advantages over previously reported measures of aortic compliance. Speckle tracking promises new insights into ventricular function, aortic mechanics, and the interaction between these structures. RésuméObjectif L'imagerie de suivi de pixel, ou speckle tracking imaging (STI) en anglais, est une technique re´cente qui permet d'e´valuer une image e´chocardiographique tout au long du cycle cardiaque et d'obtenir des variables dynamiques telles que les ve´locite´s tissulaires et les vitesses de de´formation. L'objectif de notre e´tude e´tait de de´terminer si 1) la STI pouvait eˆtre utilise´e pour quantifier la compliance de l'aorte proximale, et si 2) une compliance aortique re´duite telle que de´termine´e par la STI reproduisait la corre´lation avec la fonction diastolique rapporte´e pre´ce´demment. Méthode Cette e´tude est une se´rie de cas observationnelle re´trospective se fondant sur des images transoesophagiennes perope´ratoires obtenues par le passe´. La performance diastolique a e´te´quantifie´e par les ve´locite´s longitudinales fonde´es sur la STI des parois basales septales et basales late´rales du ventricule gauche en de´but de diastole (LV E 0 ). Les changements de volume de l'aorte proximale ont e´teć alcule´s à l'aide de la STI afin de mesurer les ve´locite´s

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Section: Résumémentioning

confidence: 99%

Proximal aortic compliance and diastolic function assessed by speckle tracking imaging

Gregory

Dobson

2013

Can J Anesth/J Can Anesth

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“…the cyclic movement of the intimamedia complex tissues in the same plane as the blood flow [12], [4], has been shown to be correlated with CVD and risk factors [14], [1], [17], [19]. Several methods have been proposed to assess in vivo the longitudinal motion of the carotid wall in ultrasound (US) B-mode image sequences, such as a block matching (BM) technique [7], an echo tracking approach [5], and a wave intensity wall analysis (WIWA) strategy [9]. Our team also proposed different multi-kernel speckle tracking approaches [17], [19].…”

Section: Introductionmentioning

confidence: 99%

Longitudinal motion of the carotid artery wall and speckle decorrelation issue: Accurate estimation using a Kalman-based speckle tracking method

Zahnd¹,

Orkisz²,

Sérusclat³

et al. 2012

2012 IEEE International Ultrasonics Symposium

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This work presents an original 2D motion estimation framework, applied to the carotid artery in ultrasound B mode sequences. Our method is based on a specific block matching approach, in which the reference block is updated in each frame by a Kalman filtering scheme. Applied in vivo to a cohort of 28 subjects, our method showed a high robustness and accuracy, with a mean absolute error of 47 ± 39 µm and 18 ± 14 µm for the trajectory estimation, and 55 ± 55 µm and 26 ± 22 µm for the amplitude estimation, in the longitudinal and radial directions, respectively. This corresponded to the magnitude of the inter-and intra-observers variability, and was significantly inferior in comparison with two other methods, i.e. a classical block matching implementation, and the Velocity Vector Imaging commercial software. Our method was also fully reproducible as the resulting variability was null. The proposed framework may constitute a reliable method to assess the arterial stiffness.

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“…Ultrasound (US) imaging is well adapted for the purpose of motion estimation, as this modality provides temporal sequences of images at a high frame rate. Several studies have been realized to assess the mechanical properties of the carotid artery based on in vivo acquisitions of US B-mode sequences [6], [3], [2], [1], [9], [14], [21], [23]. Nonetheless, the lack of ground truth, inherent to US imaging, represents a major drawback of this modality, as the validation of the results is often performed manually or visually.…”

Section: Introductionmentioning

confidence: 99%

A novel method to generate synthetic ultrasound data of the carotid artery based on in vivo observation as a tool to validate algorithm accuracy

Zahnd

Larsson

Gao

et al. 2012

2012 IEEE International Ultrasonics Symposium

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Ultrasound imaging represents a well designed modality to estimate the motion of biological tissues in vivo, from which relevant clinical information can be assessed. However, the lack of ground truth constitutes a challenging issue when it comes to evaluate the accuracy of computerized methods. Indeed, quantification of the reliability of experimental results often involves manual or visual human operations, which may introduce subjectivity and variability. Nonetheless, numerical simulation of the imaged tissues allow a comparison with a known reference. For this purpose, we propose in this work a realistic kinematic multi-layer model of the common carotid artery. A set of 10 models was generated by randomly positioning scatterers, on which intensity, specular reflection, and bidimensional motion over the duration of one cardiac cycle were applied. Two computerized methods, namely a block-matching method and a segmentation method, were also applied on our model using identical parameter settings as those used for in vivo clinical data, in the objective to assess their accuracy. The tracking errors were 42 ± 40 µm and 12 ± 10 µm in the longitudinal and radial directions, respectively. The segmentation errors were 28 ± 18 µm for the lumen diameter, and 15 ± 10 µm for the intima-media thickness. We conclude from these results that our model can constitute a reliable method to quantify the accuracy of computerized algorithms.

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Wave intensity wall analysis: a novel noninvasive method to measure wave intensity

Cited by 15 publications

References 24 publications

Proximal aortic compliance and diastolic function assessed by speckle tracking imaging

Proximal aortic compliance and diastolic function assessed by speckle tracking imaging

Longitudinal motion of the carotid artery wall and speckle decorrelation issue: Accurate estimation using a Kalman-based speckle tracking method

A novel method to generate synthetic ultrasound data of the carotid artery based on in vivo observation as a tool to validate algorithm accuracy

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