Coronary Occlusion Detection with 4D Optical Flow Based Strain Estimation on 4D Ultrasound

Duan, Qi; Angelini, Elsa D.; Lorsakul, Auranuch; Homma, Shunichi; Holmes, Jeffrey W.; Laine, Andrew F.

doi:10.1007/978-3-642-01932-6_23

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…It is also worth noting that the radial strain has a maximum at ES of 11.75% (average), and similarly the circumferential strain has a minimum at ES of 6.94% (average). These measurements are consistent with normal physiology as referenced in the medical literature [12,4]. Finally, our plots match results obtained by similar studies using optical flow for strain estimation [4,7].…”

Section: Resultssupporting

confidence: 91%

“…These measurements are consistent with normal physiology as referenced in the medical literature [12,4]. Finally, our plots match results obtained by similar studies using optical flow for strain estimation [4,7]. Given the performance of the measures, our methodology has the potential to aid in strain estimation in clinical settings.…”

Section: Resultssupporting

confidence: 87%

“…Cardiac strain has been estimated from CT, and tagged MRI [3]. More recently, Duan et al have developed [4], who developed an optical flow method to track endocardial surfaces in real-time 3D ultrasound imagery. They employed a classic correlation-based optical flow algorithm to track endo-and epicardial surfaces, which were then used to recover a myocardial motion field using a radial basis function interpolation scheme.…”

Section: Introductionmentioning

confidence: 99%

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Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography

Vyas

Gammie

Burlina

2014

2014 IEEE 27th International Symposium on Computer-Based Medical Systems

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Myocardial strain is important to assess cardiac function and diagnose cardiovascular disease. Despite the adoption of 4D (volume + time) echocardiography for diagnostic and therapeutic purposes, current clinical practice often relies exclusively on 2D measurements of strain or flow information resulting from Doppler echography. However, strain is a 3D measure of deformation in the radial, circumferential and longitudinal directions and therefore full 3D strain, and in particular out-of-sagittal plane strain components, include important information for diagnostic purposes since they provide additional information on the manner in which the heart lengthens and contracts during diastole and systole. In our prior work, we have developed robust variational optical flow methods to estimate dense myocardial motion. In this study, we extend this methodology to track ventricular outlines, which are subsequently used to compute displacement and deformation fields. This in turn is used to compute volumetric estimates of strain. We test our methods on a dataset of 4D ultrasound acquired in vivo from seven patients, and find good agreement with physiological precepts.

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Section: Resultssupporting

confidence: 91%

Section: Resultssupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography

Vyas

Gammie

Burlina

2014

2014 IEEE 27th International Symposium on Computer-Based Medical Systems

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“…Our correlation-based optical flow strain estimation framework has been successfully applied in the past for endocardium, epicardium and myocardium tracking when compared to manual tracing by expert cardiologists and sonomicrometry [5, 7, 8]. In canine studies performed by several groups, the ultrasound datasets were obtained by placing the ultrasound probe directly at the apex of the heart [8, 9], a luxury that we do not have when collecting data from clinical patients. In this study, we validated the tracking of the endocardium and myocardium in cardiac datasets acquired from COPD patients with normal cardiac ejection fractions.…”

Section: Methodsmentioning

confidence: 99%

In-vivo clinical validation of cardiac deformation and strain measurements from 4D ultrasound

Lorsakul

Duan

et al. 2010

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

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An important goal in clinical cardiology is the non-invasive quantification of regional cardiac deformation. While many methods have been proposed for the estimation of 3D left ventricular deformation and strains derived from 4D ultrasound, currently there is a lack of in vivo clinical validation of these algorithms on humans. In this paper, we describe the experiments used in validating cardiac deformation and strain estimates of 4D ultrasound using correlation-based optical flow tracking on two different COPD patients with normal left ventricular function. Validation of the algorithm was done by 1) validation of cardiac volume across multiple scans of the same patient and 2) validation of the repeatability of cardiac displacement and strain results from multiple scan acquisitions of the same patient. The preliminary results are encouraging with our algorithm producing consistent cardiac volume and strain results across multiple acquisitions. Furthermore, our derived 4D cardiac strains showed qualitatively correct results. We also observed particularly interesting results in the radial displacements of the posterior and lateral walls of our COPD patients.

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“…Optical flow has also been used to analyze motion in one, three or four dimensions [22,9,5]. In this work, we investigate the convergence of the HS optical flow problem in the generalized case of dimension n ≥ 1.…”

Section: Statement Of the Problemmentioning

confidence: 99%

A Proof of Convergence of the Horn--Schunck Optical Flow Algorithm in Arbitrary Dimension

Tarnec¹,

Destrempes²,

Cloutier³

et al. 2014

SIAM J. Imaging Sci.

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The Horn and Schunck (HS) method, which amounts to the Jacobi iterative scheme in the interior of the image, was one of the first optical flow algorithms. In this article, we prove the convergence of the HS method, whenever the problem is well-posed. Our result is shown in the framework of a generalization of the HS method in dimension n ≥ 1, with a broad definition of the discrete Laplacian. In this context, the condition for the convergence is that the intensity gradients are not all contained in a same hyperplane. Two other articles ([17] and [13]) claimed to solve this problem in the case n = 2, but it appears that both of these proofs are erroneous. Moreover, we explain why some standard results on the convergence of the Jacobi method do not apply for the HS problem, unless n = 1. It is also shown that the convergence of the HS scheme implies the convergence of the Gauss-Seidel and SOR schemes for the HS problem.

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Coronary Occlusion Detection with 4D Optical Flow Based Strain Estimation on 4D Ultrasound

Cited by 12 publications

References 18 publications

Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography

Computing Cardiac Strain from Variational Optical Flow in Four-Dimensional Echocardiography

In-vivo clinical validation of cardiac deformation and strain measurements from 4D ultrasound

A Proof of Convergence of the Horn--Schunck Optical Flow Algorithm in Arbitrary Dimension

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