Towards pointwise motion tracking in echocardiographic image sequences – Comparing the reliability of different features for speckle tracking

Yu, Weichuan; Yan, Ping; Sinusas, Albert J.; Thiele, Karl; Duncan, James S.

doi:10.1016/j.media.2005.12.003

Cited by 56 publications

(42 citation statements)

References 27 publications

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“…The K-distribution is generated by a sparse density of Poisson scatterers (average number of scatterers per resolution cell was between 9 and 12), whereas the Rayleigh distribution is generated by a dense distribution of Poisson scatterers (above 12) [12,16]. A 3D extension of Meunier's model, to generate ultrasound image volumes was proposed in [17] and in [18] for a uniform medium scanned on a rectilinear grid geometry. In a different context, Jensen [19] developed an extensive ultrasound simulation software package called FIELD in 1996 based on Tupholme-Stepanishen's method, which allowed arbitrary transducer design.…”

Section: Ultrasound Simulation Methodsmentioning

confidence: 99%

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Validation of Optical-Flow for Quantification of Myocardial Deformations on Simulated Rt3d Ultrasound

Duan

Angelini

Homma

et al. 2007

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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Quantitative analysis of cardiac motion is of great clinical interest in assessing ventricular function. Real-time 3-D (RT3D) ultrasound transducers provide valuable fourdimensional information, from which quantitative measures of cardiac function can be extracted. Previously, we presented a method based on four-dimensional optical flow motion estimation for anatomical tracking of myocardium in RT3D ultrasound, from which myocardial displacement fields and dynamic cardiac metrics were computed. In this paper, in order to quantitatively validate our method, we build a truly 3D mathematical phantom of cardiac tissue and blood. Distinguished from previous studies, our work further decomposes tissue impedance into cell kernels and processes all functions in 3D. Instead of simply modeling the myocardium, a "quasi-LV" phantom is built including myocardium and blood. Also all ultrasound probe parameters used in this work are directly estimated from clinical RT3D data instead of using common parameters from 2D transducers. Based on this phantom, simulated RT3D ultrasound data sets are generated for validation to assess the performance of an optical flow based method in tracking myocardial tissues.

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Section: Ultrasound Simulation Methodsmentioning

confidence: 99%

“…In most ultrasound systems, ( , , ) H x y z is a narrowband signal, which allows to discard the second order derivative operator in Equation(3). This assumption is also used to simplify the model in other studies, explicitly in [13] or implicitly in [14,15,17,18].…”

Section: Point Spread Functionmentioning

confidence: 99%

Validation of Optical-Flow for Quantification of Myocardial Deformations on Simulated Rt3d Ultrasound

Duan

Angelini

Homma

et al. 2007

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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“…Tissue appearance in echocardiographic images is to a great extent influenced by constructive and destructive interferences of different backscattering waves, resulting in speckle patterns (29). These patterns can be used for motion analysis (speckle tracking) (30).…”

Section: Effect Of Myocardial Anisotropy On Appearance Of Cardiac Ultmentioning

confidence: 99%

Left Ventricular Form and Function Revisited: Applied Translational Science to Cardiovascular Ultrasound Imaging

Sengupta

Krishnamoorthy

Kořínek

et al. 2007

Journal of the American Society of Echocardiography

283

196

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Tissue Doppler imaging (TDI) and TDI-derived strain imaging are robust physiologic tools used for the noninvasive assessment of regional myocardial function. Due to high temporal and spatial resolution, regional function can be assessed for each phase of the cardiac cycle and within the transmural layers of the myocardial wall. Newer techniques that measure myocardial motion by speckle tracking in grayscale images have overcome the angle dependence of TDI strain, allowing for measurement of 2-dimensional strain and cardiac rotation. TDI, TDI strain, and speckle tracking may provide unique information that deciphers the deformation sequence of complexly oriented myofibers in the left ventricular wall. The data are, however, limited. This review examines the structure and function of the left ventricle relative to the potential clinical application of TDI and speckle tracking in assessing the global mechanical sequence of the left ventricle in vivo.The spiral arrangement of muscle fibers in the heart is reminiscent of spiral and vortex patterns in nature, ranging from small organelles and whirlpools to hurricanes and rotational patterns of the galaxies (1-5). Vortex patterns link two fundamental forms of motion that work in close balance: an inner, rapidly descending swirl and an outer, less rapid, ascending rotation (4) ( Fig. 1 A-C). These counterdirectional movements of a vortex produce suction and expulsion forces that have been exploited for designing energy efficient propellers and turbines (6). Likewise, experimental and mathematical modeling of the clockwise and counterclockwise spiral loops of myofibers in the left ventricle (LV) has shown that counterdirectional geometry provides an efficient distribution of regional stresses and strains (7). Conversely, altered ventricular geometry resulting from cardiac remodeling, regional myocardial dysfunction, or asynchronous conduction distort the efficiency of the loading and expulsion dynamics (8,9). In this review, we associate the LV myofiber architecture to the spatiotemporal sequence of regional deformations occurring during normal cardiac contraction and relaxation. We further elucidate experimental observations, which explore the application of tissue Doppler imaging (TDI) and 2-dimensional ultrasound speckle tracking for delineation of the synchronous mechanical shortening and lengthening sequences of the human LV.Address reprint requests to Marek Belohlavek, Division of Cardiovascular Diseases, Mayo Clinic, 13400 East Shea Boulevard Scottsdale, AZ 85259, E-mail address for author named in reprint line: Belohlavek.marek@mayo.edu Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect th...

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“…However, 3D speckle tracking poses a series of difficulties, from optimization and computational costs, to speckle decorrelation in time and space. A thorough study of decorrelation and the feasibility of speckle-tracking are presented in (Yu et al, 2006) together with an analytical model of echocardiographic imaging.…”

Section: Discussionmentioning

confidence: 99%

“…More sophisticated techniques to simulate US data can be found in several recent publications (Duan et al, 2007b;Jensen, 1999;Meunier, 1998;Yu et al, 2006) and will be investigated in future work. One unknown factor is the preprocessing of data by the commercial US machines, which is not accounted by the proposed methods.…”

Section: Synthetic Datamentioning

confidence: 99%

Fast block flow tracking of atrial septal defects in 4D echocardiography

Linguraru

Vasilyev

Marx

et al. 2008

Medical Image Analysis

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We are working to develop beating-heart atrial septal defect (ASD) closure techniques using realtime 3D ultrasound guidance. The major image processing challenges are the low image quality and the processing of information at high frame rate. This paper presents comparative results for ASD tracking in time sequences of 3D volumes of cardiac ultrasound. We introduce a block flow technique, which combines the velocity computation from optical flow for an entire block with template matching. Enforcing adapted similarity constraints to both the previous and first frames ensures optimal and unique solutions. We compare the performance of the proposed algorithm with that of block matching and region-based optical flow on eight in-vivo 4D datasets acquired from porcine beating-heart procedures. Results show that our technique is more stable and has higher sensitivity than both optical flow and block matching in tracking ASDs. Computing velocity at the block level, our technique tracks ASD motion at 2 frames/s, much faster than optical flow and comparable in computation cost to block matching, and shows promise for real-time (30 frames/s). We report consistent results on clinical intra-operative images and retrieve the cardiac cycle (in ungated images) from error analysis. Quantitative results are evaluated on synthetic data with maximum tracking errors of 1 voxel.

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Towards pointwise motion tracking in echocardiographic image sequences – Comparing the reliability of different features for speckle tracking

Cited by 56 publications

References 27 publications

Validation of Optical-Flow for Quantification of Myocardial Deformations on Simulated Rt3d Ultrasound

Validation of Optical-Flow for Quantification of Myocardial Deformations on Simulated Rt3d Ultrasound

Left Ventricular Form and Function Revisited: Applied Translational Science to Cardiovascular Ultrasound Imaging

Fast block flow tracking of atrial septal defects in 4D echocardiography

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