Motion Analysis of the Carotid Artery Wall and Plaque Using B-Mode Ultrasound

Abstract: Motion of the arterial wall and atheromatous plaque, especially in the longitudinal direction, has recently gained attention as a determinant of carotid atherosclerosis. Vessel wall motion, caused by blood pressure, blood flow and tethering to the surrounding tissue, may be responsible for tissue rupture and cerebrovascular symptoms. B-mode ultrasound allows non-invasive recording of arterial wall and plaque motion in two directions, namely radial and longitudinal. Temporal sequences of ultrasound images, recorded at high frame rates, can be used to quantitatively estimate movement of the arterial wall. Motion of the carotid artery wall and plaque from sequences of ultrasound images has been estimated using block matching and optical flow techniques. Block matching is based on tracking blocks of pixels, assuming that the blocks remain constant over time and motion. Optical flow relies on the estimation of the spatiotemporal change of individual pixel intensities throughout a sequence, resulting in a dense vector map where each pixel is represented by a vector corresponding to its velocity between two frames. An important issue in studies of arterial wall motion is the validation of the motion analysis techniques. Tissue-mimicking phantoms as well as computer-generated simulation images have been used to validate motion analysis algorithms. In conclusion, motion of the carotid artery wall and plaque can be quantitatively estimated from B-mode ultrasound and may represent a powerful tool to study further the mechanisms of atherosclerosis.

[1]  S Meagher,et al.  Design and characterisation of a wall motion phantom. , 2006, Ultrasound in medicine & biology.

[2]  M. Eliasziw,et al.  The causes and risk of stroke in patients with asymptomatic internal-carotid-artery stenosis. North American Symptomatic Carotid Endarterectomy Trial Collaborators. , 2000, The New England journal of medicine.

[3]  P R Hoskins,et al.  Colour ultrasound imaging of blood flow and tissue motion. , 1997, The British journal of radiology.

[4]  W. Brant,et al.  Hypoechoic plaque at US of the carotid artery: an independent risk factor for incident stroke in adults aged 65 years or older. Cardiovascular Health Study. , 1998, Radiology.

[5]  A Sampaolo,et al.  Computer analysis of ultrasonic plaque echolucency in identifying high risk carotid bifurcation lesions. , 1999, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[6]  Hans Burkhardt,et al.  Using snakes to detect the intimal and adventitial layers of the common carotid artery wall in sonographic images , 2002, Comput. Methods Programs Biomed..

[7]  A Fenster,et al.  Segmentation of carotid artery in ultrasound images: method development and evaluation technique. , 2000, Medical physics.

[8]  Stehbens We,et al.  Hemodynamics and atherosclerosis. , 1982, Biorheology.

[9]  J D Thomas,et al.  Toward the quiescent coronary plaque. , 1993, Journal of the American College of Cardiology.

[10]  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.

[11]  Eugene Z. Oddone,et al.  Endarterectomy for Asymptomatic Carotid Artery Stenosis , 1995 .

[12]  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.

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

[14]  Manijhe Mokhtari-Dizaji,et al.  Differentiation of mild and severe stenosis with motion estimation in ultrasound images. , 2006, Ultrasound in medicine & biology.

[15]  Michael Unser,et al.  Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation , 2005, IEEE Transactions on Medical Imaging.

[16]  P. Libby,et al.  The unstable atheroma. , 1997, Arteriosclerosis, thrombosis, and vascular biology.

[17]  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.

[18]  E. Falk Why do plaques rupture? , 1992, Circulation.

[19]  A. Davies,et al.  Endarterectomy for asymptomatic carotid artery stenosis , 1995, BMJ.

[20]  J. Stoitsis,et al.  Carotid Artery Motion Estimation from Sequences of B-mode Ultrasound Images: Effect of Dynamic Range and Persistence , 2006, Proceedings of the 2006 IEEE International Workshop on Imagining Systems and Techniques (IST 2006).

[21]  S Meairs,et al.  Four-dimensional ultrasonographic characterization of plaque surface motion in patients with symptomatic and asymptomatic carotid artery stenosis. , 1999, Stroke.

[22]  Jake K. Aggarwal,et al.  On the computation of motion from sequences of images-A review , 1988, Proc. IEEE.

[23]  Transient ischaemic attacks: The static and dynamic morphology of the carotid artery bifurcation , 1982, The British journal of surgery.

[24]  Frederic Dufaux,et al.  Motion estimation techniques for digital TV: a review and a new contribution , 1995, Proc. IEEE.

[25]  X. Y. Xu,et al.  Ultrasound image-based computer model of a common carotid artery with a plaque. , 2004, Medical engineering & physics.

[26]  Constantinos S. Pattichis,et al.  Texture-based classification of atherosclerotic carotid plaques , 2003, IEEE Transactions on Medical Imaging.

[27]  Konstantina S. Nikita,et al.  A modular software system to assist interpretation of medical images application to vascular ultrasound images , 2006, 2004 IEEE International Workshop on Imaging Systems and Techniques (IST) (IEEE Cat. No.04EX896).

[28]  Stian Lydersen,et al.  Parameters describing motion in carotid artery plaques from ultrasound examination: A reproducibility study. , 2004, Ultrasound in medicine & biology.

[29]  D. Sackett,et al.  Benefit of carotid endarterectomy in patients with symptomatic moderate or severe stenosis. North American Symptomatic Carotid Endarterectomy Trial Collaborators. , 1998, The New England journal of medicine.

[30]  Characterisation of the atheromatous plaque in the carotid arteries. , 1989, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[31]  C. Zarins,et al.  Reduction of Aortic Wall Motion Inhibits Hypertension-Mediated Experimental Atherosclerosis , 2000, Arteriosclerosis, thrombosis, and vascular biology.

[32]  G. V. R. Born,et al.  INFLUENCE OF PLAQUE CONFIGURATION AND STRESS DISTRIBUTION ON FISSURING OF CORONARY ATHEROSCLEROTIC PLAQUES , 1989, The Lancet.

[33]  Jon Harald Kaspersen,et al.  A new method for analysis of motion of carotid plaques from RF ultrasound images. , 2003, Ultrasound in medicine & biology.

[34]  F. Chong,et al.  Non-invasive assessment of arterial distension waveforms using gradient-based Hough transform and power Doppler ultrasound imaging , 2006, Medical and Biological Engineering and Computing.

[35]  Mark S. Nixon,et al.  Dynamic feature extraction via the velocity Hough transform , 1997, Pattern Recognit. Lett..

[36]  V. Fuster,et al.  Coronary plaque disruption. , 1995, Circulation.

[37]  T Anderson,et al.  Measurement of tissue motion , 1999, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[38]  P. Dobrin,et al.  Mechanical properties of arteries , 1978, Physiological reviews.

[39]  T. Elatrozy,et al.  The objective characterisation of ultrasonic carotid plaque features. , 1998, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[40]  J. Stoitsis,et al.  Analysis and quantification of arterial wall motion from B-mode ultrasound images - comparison of block-matching and optical flow , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[41]  K L Chan Two approaches to motion analysis of the ultrasound image sequence of carotid atheromatous plaque. , 1993, Ultrasonics.

[42]  F. A. Bryan,et al.  Ultrasonographic correlates of carotid atherosclerosis in transient ischemic attack and stroke. , 1995, Stroke.

[43]  J. Slattery,et al.  Randomised trial of endarterectomy for recently symptomatic carotid stenosis: final results of the MRC European Carotid Surgery Trial (ECST) , 1998, The Lancet.

[44]  Lars Kai Hansen,et al.  Quantitative analysis of ultrasound B-mode images of carotid atherosclerotic plaque: correlation with visual classification and histological examination , 1998, IEEE Transactions on Medical Imaging.

[45]  A. Nicolaides,et al.  Determinants of carotid plaque instability: echoicity versus heterogeneity. , 2001, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.