Discrimination between Newly Formed and Aged Thrombi Using Empirical Mode Decomposition of Ultrasound B-Scan Image

Ultrasound imaging is a first-line diagnostic method for screening the thrombus. During thrombus aging, the proportion of red blood cells (RBCs) in the thrombus decreases and therefore the signal intensity of B-scan can be used to detect the thrombus age. To avoid the effect of system gain on the measurements, this study proposed using the empirical mode decomposition (EMD) of ultrasound image as a strategy to classify newly formed and aged thrombi. Porcine blood samples were used for the in vitro induction of fresh and aged thrombi (at hematocrits of 40%). Each thrombus was imaged using an ultrasound scanner at different gains (15, 20, and 30 dB). Then, EMD of ultrasound signals was performed to obtain the first and second intrinsic mode functions (IMFs), which were further used to calculate the IMF-based echogenicity ratio (IER). The results showed that the performance of using signal amplitude of B-scan to reflect the thrombus age depends on gain. However, the IER is less affected by the gain in discriminating between fresh and aged thrombi. In the future, ultrasound B-scan combined with the EMD may be used to identify the thrombus age for the establishment of thrombolytic treatment planning.

[1]  N. Huang,et al.  A new view of nonlinear water waves: the Hilbert spectrum , 1999 .

[2]  T. Kondo,et al.  Time-dependent organic changes of intravenous thrombi in stasis-induced deep vein thrombosis model and its application to thrombus age determination. , 2010, Forensic science international.

[3]  P. Sengupta,et al.  Parametric harmonic-to-fundamental ratio contrast echocardiography: a novel approach to identification and accurate measurement of left ventricular area under variable levels of ultrasound signal attenuation. , 2007, Ultrasonics.

[4]  J. Arenillas,et al.  Differential Pattern of Tissue Plasminogen Activator–Induced Proximal Middle Cerebral Artery Recanalization Among Stroke Subtypes , 2004, Stroke.

[5]  A. Çilli,et al.  Doppler ultrasonography versus venography in the detection of deep vein thrombosis in patients with pulmonary embolism , 2006, Journal of Thrombosis and Thrombolysis.

[6]  J. Hoak,et al.  Management of deep vein thrombosis and pulmonary embolism. A statement for healthcare professionals. Council on Thrombosis (in consultation with the Council on Cardiovascular Radiology), American Heart Association. , 1996, Circulation.

[7]  J. Greenleaf,et al.  Spectral Normalization for Ultrasonic Contrast Microbubble Detection , 2004, Ultrasonic imaging.

[8]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[9]  K. Ouriel,et al.  Invasive approaches to treatment of venous thromboembolism. , 2004, Circulation.

[10]  M. Neri,et al.  Histological age determination of venous thrombosis: a neglected forensic task in fatal pulmonary thrombo-embolism. , 2009, Forensic science international.

[11]  D. Keber,et al.  In-vitro synergism between t-PA and scu-PA depends on clot retraction , 1995 .

[12]  Richard B. Gunderman,et al.  Principles of Medical Imaging , 2014 .

[13]  Srivalleesha Mallidi,et al.  Combined ultrasound and photoacoustic imaging to detect and stage deep vein thrombosis: phantom and ex vivo studies. , 2008, Journal of biomedical optics.

[14]  Chih-Chung Huang,et al.  Effect of Adaptive Threshold Filtering on Ultrasonic Nakagami Parameter to Detect Variation in Scatterer Concentration , 2010, Ultrasonic imaging.

[15]  Saurabh Datta,et al.  Ultrasound-enhanced tissue plasminogen activator thrombolysis in an in vitro porcine clot model. , 2008, Thrombosis research.

[16]  H. Riess,et al.  Thrombectomy, lysis, or heparin treatment: concurrent therapies of deep vein thrombosis: therapy and experimental studies. , 1989, Seminars in thrombosis and hemostasis.

[17]  V. Fuster,et al.  In vivo noninvasive detection and age definition of arterial thrombus by MRI. , 2002, Journal of the American College of Cardiology.

[18]  R. Colman,et al.  Hemostasis and Thrombosis: Basic Principles and Clinical Practice , 1988 .

[19]  P. Wells,et al.  Diagnosis and treatment of deep-vein thrombosis , 2006, Canadian Medical Association Journal.

[20]  W. Marsden.  I and J , 2012 .

[21]  Jianhua Chen,et al.  The Removal of Wall Components in Doppler Ultrasound Signals by Using the Empirical Mode Decomposition Algorithm , 2007, IEEE Transactions on Biomedical Engineering.

[22]  R. Kistner,et al.  Surgery in acute and chronic venous disease. , 1979, Surgery.

[23]  Chien-Cheng Chang,et al.  An adaptive threshold filter for ultrasound signal rejection. , 2009, Ultrasonics.

[24]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[25]  Norden E. Huang,et al.  The Multi-Dimensional Ensemble Empirical Mode Decomposition Method , 2009, Adv. Data Sci. Adapt. Anal..

[26]  Pai-Chi Li,et al.  Potential contrast improvement in ultrasound pulse inversion imaging using EMD and EEMD , 2010, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[27]  T. Wakefield.  Treatment options for venous thrombosis. , 2000, Journal of vascular surgery.

[28]  Hamid Behnam,et al.  Ultrasound Elastography Using Empirical Mode Decomposition Analysis , 2014, Journal of medical signals and sensors.

[29]  C. Molina.  Imaging the clot: does clot appearance predict the efficacy of thrombolysis? , 2005, Stroke.

[30]  Chih-Chung Huang,et al.  Assessing the viscoelastic properties of thrombus using a solid-sphere-based instantaneous force approach. , 2011, Ultrasound in medicine & biology.

[31]  Yung-Sheng Chen,et al.  Use of nakagami statistics and empirical mode decomposition for ultrasound tissue characterization by a nonfocused transducer. , 2009, Ultrasound in medicine & biology.

[32]  Steve McLaughlin,et al.  Empirical mode decomposition and tissue harmonic imaging. , 2005, Ultrasound in medicine & biology.

[33]  W. Lam,et al.  Factor XIII activity mediates red blood cell retention in venous thrombi. , 2014, Journal of Clinical Investigation.

[34]  Benjamin M. W. Tsui,et al.  Principles of Medical Imaging , 1992 .

[35]  Shyh-Hau Wang,et al.  Assessment of Blood Coagulation Under Various Flow Conditions With Ultrasound Backscattering , 2007, IEEE Transactions on Biomedical Engineering.

[36]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[37]  Pai-Chi Li,et al.  Automatic contrast enhancement using ensemble empirical mode decomposition , 2011, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[38]  JackHirsh,et al.  Management of Deep Vein Thrombosis and Pulmonary Embolism , 1996 .