Improved tracking performance of Lagrangian block-matching methodologies using block expansion in the time domain: in silico, phantom and in vivo evaluations.

The aim of this study was to evaluate tracking performance when an extra reference block is added to a basic block-matching method, where the two reference blocks originate from two consecutive ultrasound frames. The use of an extra reference block was evaluated for two putative benefits: (i) an increase in tracking performance while maintaining the size of the reference blocks, evaluated using in silico and phantom cine loops; (ii) a reduction in the size of the reference blocks while maintaining the tracking performance, evaluated using in vivo cine loops of the common carotid artery where the longitudinal movement of the wall was estimated. The results indicated that tracking accuracy improved (mean = 48%, p < 0.005 [in silico]; mean = 43%, p < 0.01 [phantom]), and there was a reduction in size of the reference blocks while maintaining tracking performance (mean = 19%, p < 0.01 [in vivo]). This novel method will facilitate further exploration of the longitudinal movement of the arterial wall.

[1]  O. Bonnefous,et al.  Time Domain Formulation of Pulse-Doppler Ultrasound and Blood Velocity Estimation by Cross Correlation , 1986, Ultrasonic imaging.

[2]  Philippe Moulin,et al.  Evaluation of a Kalman-based block matching method to assess the bi-dimensional motion of the carotid artery wall in B-mode ultrasound sequences , 2013, Medical Image Anal..

[3]  L. Gan,et al.  Longitudinal common carotid artery wall motion is associated with plaque burden in man and mouse. , 2011, Atherosclerosis.

[4]  Brett Byram,et al.  3-D phantom and in vivo cardiac speckle tracking using a matrix array and raw echo data , 2010, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[5]  T. Fukunaga,et al.  Muscle Architectural Characteristics in Young and Elderly Men and Women , 2003, International journal of sports medicine.

[6]  Tim Idzenga,et al.  Estimating cyclic shear strain in the common carotid artery using radiofrequency ultrasound. , 2012, Ultrasound in medicine & biology.

[7]  T. Arts,et al.  Determination of tissue motion velocity by correlation interpolation of pulsed ultrasonic echo signals. , 1990, Ultrasonic imaging.

[8]  Hiroshi Kanai,et al.  Basic Study on Detection of Outer Boundary of Arterial Wall Using Its Longitudinal Motion , 2007 .

[9]  Sofia Brorsson,et al.  Ultrasound evaluation in combination with finger extension force measurements of the forearm musculus extensor digitorum communis in healthy subjects , 2008, BMC Medical Imaging.

[10]  J. Blacher,et al.  Impact of aortic stiffness on survival in end-stage renal disease. , 1999, Circulation.

[11]  T. Loupas,et al.  Arterial pulse wave velocity with tissue Doppler imaging. , 2002, Ultrasound in medicine & biology.

[12]  Tomas Jansson,et al.  A new non‐invasive ultrasonic method for simultaneous measurements of longitudinal and radial arterial wall movements: first in vivo trial , 2003, Clinical physiology and functional imaging.

[13]  P. Suetens,et al.  Two-dimensional ultrasonic strain rate measurement of the human heart in vivo , 2002 .

[14]  Milan Lomsky,et al.  Carotid Artery Longitudinal Displacement Predicts 1-Year Cardiovascular Outcome in Patients With Suspected Coronary Artery Disease , 2011, Arteriosclerosis, thrombosis, and vascular biology.

[16]  Magnus Cinthio,et al.  Different patterns of longitudinal displacement of the common carotid artery wall in healthy humans are stable over a four-month period. , 2012, Ultrasound in medicine & biology.

[17]  7C-2 Non-Invasive Measurements of Longitudinal Strain of the Arterial Wall , 2007, 2007 IEEE Ultrasonics Symposium Proceedings.

[18]  J. Arndt,et al.  The diameter of the intact carotid artery in man and its change with pulse pressure , 2004, Pflüger's Archiv für die gesamte Physiologie des Menschen und der Tiere.

[19]  A. Macaluso,et al.  Contractile muscle volume and agonist‐antagonist coactivation account for differences in torque between young and older women , 2002, Muscle & nerve.

[20]  Didier Vray,et al.  Measurement of two-dimensional movement parameters of the carotid artery wall for early detection of arteriosclerosis: a preliminary clinical study. , 2011, Ultrasound in medicine & biology.

[21]  Finn Lindgren,et al.  Combined use of iteration, quadratic interpolation and an extra kernel for high-resolution 2D particle tracking: A first evaluation , 2010, 2010 IEEE International Ultrasonics Symposium.

[22]  Tomas Jansson,et al.  Longitudinal movements and resulting shear strain of the arterial wall. , 2006, American journal of physiology. Heart and circulatory physiology.

[23]  Spyretta Golemati,et al.  Carotid artery wall motion estimated from B-mode ultrasound using region tracking and block matching. , 2003, Ultrasound in medicine & biology.

[24]  Tomas Jansson,et al.  A method to measure shear strain with high spatial resolution in the arterial wall non-invasively in vivo by tracking zero-crossings of B-mode intensity gradients , 2010, 2010 IEEE International Ultrasonics Symposium.

[25]  W. Nichols McDonald's Blood Flow in Arteries , 1996 .

[26]  B. J. Geiman,et al.  A novel interpolation strategy for estimating subsample speckle motion. , 2000, Physics in medicine and biology.

[27]  G R Sutherland,et al.  Colour Doppler velocity imaging of the myocardium. , 1992, Ultrasound in medicine & biology.

[28]  A. Støylen,et al.  Noninvasive myocardial strain measurement by speckle tracking echocardiography: validation against sonomicrometry and tagged magnetic resonance imaging. , 2006, Journal of the American College of Cardiology.

[29]  D. Thelen,et al.  Measurement of tendon strain during muscle twitch contractions using ultrasound elastography , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[30]  Kai-Kuang Ma,et al.  Adaptive rood pattern search for fast block-matching motion estimation , 2002, IEEE Trans. Image Process..

[31]  P. Tortoli,et al.  Methods for measurements of the longitudinal movement and the shear-induced longitudinal elastic modulus of the arterial wall , 2009, 2009 IEEE International Ultrasonics Symposium.

[32]  H. Hasegawa,et al.  Phase-sensitive lateral motion estimator for measurement of artery-wall displacement- phantom study , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[33]  T. Marwick,et al.  Use of tissue Doppler imaging to facilitate the prediction of events in patients with abnormal left ventricular function by dobutamine echocardiography. , 2004, The American journal of cardiology.

[34]  Nozomu Hoshimiya,et al.  Accuracy Evaluation in the Measurement of a Small Change in the Thickness of Arterial Walls and the Measurement of Elasticity of the Human Carotid Artery , 1998 .

[35]  P. Tortoli,et al.  Accurate Doppler angle estimation for vector flow measurements , 2006, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[36]  R. A. Banjavic,et al.  A new ultrasound tissue-equivalent material. , 1980, Radiology.

[37]  Å. Ahlgren,et al.  Intra-observer variability of longitudinal displacement and intramural shear strain measurements of the arterial wall using ultrasound noninvasively in vivo. , 2010, Ultrasound in medicine & biology.

[38]  R. Graaff,et al.  A simple and accurate formula for the sound velocity in water. , 1998, Ultrasound in medicine & biology.

[39]  L.N. Bohs,et al.  A novel method for angle independent ultrasonic imaging of blood flow and tissue motion , 1991, IEEE Transactions on Biomedical Engineering.

[40]  Konstantina S. Nikita,et al.  Comparison of Block Matching and Differential Methods for Motion Analysis of the Carotid Artery Wall From Ultrasound Images , 2012, IEEE Transactions on Information Technology in Biomedicine.

[41]  Richard G. P. Lopata,et al.  Noninvasive Carotid Strain Imaging Using Angular Compounding at Large Beam Steered Angles: Validation in Vessel Phantoms , 2009, IEEE Transactions on Medical Imaging.

[42]  D. Vray,et al.  Longitudinal displacement of the carotid wall and cardiovascular risk factors: associations with aging, adiposity, blood pressure and periodontal disease independent of cross-sectional distensibility and intima-media thickness. , 2012, Ultrasound in medicine & biology.

[43]  P. Simard,et al.  Restoration of the velocity field of the heart from two-dimensional echocardiograms. , 1989, IEEE transactions on medical imaging.

[44]  Hiroshi Kanai,et al.  Elasticity Imaging of Atheroma With Transcutaneous Ultrasound , 2003, Circulation.

[45]  Magnus Cinthio,et al.  Effects of adrenaline on longitudinal arterial wall movements and resulting intramural shear strain: a first report , 2009, Clinical physiology and functional imaging.

[46]  J. Jensen,et al.  Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[47]  Magnus Cinthio,et al.  Longitudinal displacement and intramural shear strain of the porcine carotid artery undergo profound changes in response to catecholamines. , 2012, American journal of physiology. Heart and circulatory physiology.

[48]  D. Baker Pulsed Ultrasonic Doppler Blood-Flow Sensing , 1970, IEEE Transactions on Sonics and Ultrasonics.

[49]  Guy Cloutier,et al.  Characterization of Atherosclerotic Plaques and Mural Thrombi With Intravascular Ultrasound Elastography: A Potential Method Evaluated in an Aortic Rabbit Model and a Human Coronary Artery , 2008, IEEE Transactions on Information Technology in Biomedicine.

[50]  P. N. T. Wells,et al.  A range-gated ultrasonic Doppler system , 1969, Medical and biological engineering.

[51]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[52]  K. Boone,et al.  Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study , 1996, Medical and Biological Engineering and Computing.

[53]  Konstantina S. Nikita,et al.  Comparison of Kalman-filter-based approaches for block matching in arterial wall motion analysis from B-mode ultrasound , 2011 .

[54]  T. Jansson,et al.  Non-invasive measurement of arterial longitudinal movement , 2002, 2002 IEEE Ultrasonics Symposium, 2002. Proceedings..

[55]  Å. Ahlgren,et al.  Evaluation of an ultrasonic echo-tracking method for measurements of arterial wall movements in two dimensions , 2005, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[56]  Matti Weckström,et al.  Axial and radial waveforms in common carotid artery: an advanced method for studying arterial elastic properties in ultrasound imaging. , 2013, Ultrasound in medicine & biology.

[57]  J Engvall,et al.  Non-invasive diagnosis of coronary artery disease by quantitative stress echocardiography: optimal diagnostic models using off-line tissue Doppler in the MYDISE study. , 2003, European heart journal.

[58]  L. Gan,et al.  Longitudinal wall motion of the common carotid artery can be assessed by velocity vector imaging , 2011, Clinical physiology and functional imaging.

[59]  P. Claus,et al.  Ultrasound-based radial and longitudinal strain estimation of the carotid artery: a feasibility study , 2011, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[60]  J. Ophir,et al.  Methods for Estimation of Subsample Time Delays of Digitized Echo Signals , 1995 .