Video Magnification Applied in Ultrasound

Goal: This paper describes a method to enhance, visualize, and reveal subtle motion that can be present in medical images. As proposed in vision applications, the principle is to magnify displacement applied, in this case, to cardiovascular tissues (carotid). Methods: In the example presented, ultrasound data were acquired at a high frame rate and two-dimensional motion was estimated, amplified, and reapplied in ultrasound carotid sequences. Results: Video magnification makes fast and complex phenomena of human tissue visible. In fact, not only pulse and reflected wave, but also global radial and longitudinal motion in the example presented are visible with video magnification. Conclusion: Video magnification can be used in medical imaging for subtle motion visualization. One of the many possible applications is direct visualization of a local modification in terms of stiffness of a tissue (due to local necrosis, for instance) from acquisition. Moreover, video magnification can be executed with any type of imaging modality. Significance: Video magnification could be a new tool for physicians to highlight new pathology indicators or for long-term disease monitoring.

[1]  A. Basarab,et al.  Phase-based block matching applied to motion estimation with unconventional beamforming strategies , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[2]  L. Sandrin,et al.  Fibroscan® in hepatology: a clinically-validated tool using vibration-controlled transient elastography , 2009, 2009 IEEE International Ultrasonics Symposium.

[3]  Yasmin,et al.  Determinants of pulse wave velocity in healthy people and in the presence of cardiovascular risk factors: ‘establishing normal and reference values’ , 2010, European heart journal.

[4]  Benyebka Bou-Saïd,et al.  Plane wave transverse oscillation (PWTO): An ultra-fast transverse oscillation imaging mode performed in the Fourier domain for 2D motion estimation of the carotid artery , 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

[5]  Francis A. Duck,et al.  Mechanical Properties of Tissue , 1990 .

[6]  Jesper Swedenborg,et al.  McDonald's Blood Flow in Arteries , 2006 .

[7]  Frédo Durand,et al.  Eulerian video magnification for revealing subtle changes in the world , 2012, ACM Trans. Graph..

[8]  E. Konofagou,et al.  Pulse wave imaging for noninvasive and quantitative measurement of arterial stiffness in vivo. , 2010, American journal of hypertension.

[9]  H. Kanai,et al.  Propagation of spontaneously actuated pulsive vibration in human heart wall and in vivo viscoelasticity estimation , 2005, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[10]  S. Solomon,et al.  GUIDELINES AND STANDARDS , 2010 .

[11]  Herve Liebgott,et al.  Estimation of arterial wall motion using ultrafast imaging and transverse oscillations: in vivo study , 2016, 2016 IEEE International Ultrasonics Symposium (IUS).

[12]  G. Cloutier,et al.  Stolt's f-k migration for plane wave ultrasound imaging , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[13]  A. Basarab,et al.  Transverse oscillations for tissue motion estimation. , 2010, Ultrasonics.

[14]  Mathias Fink,et al.  Transient elastography in anisotropic medium: application to the measurement of slow and fast shear wave speeds in muscles. , 2003, The Journal of the Acoustical Society of America.

[15]  E. Konofagou,et al.  A Novel Noninvasive Technique for Pulse-Wave Imaging and Characterization of Clinically-Significant Vascular Mechanical Properties In Vivo , 2007, Ultrasonic imaging.

[16]  L. Wurfel Mcdonald S Blood Flow In Arteries Theoretical Experimental And Clinical Principles , 2016 .

[17]  Robert Rohling,et al.  Automatic detection of a hand-held needle in ultrasound via phased-based analysis of the tremor motion , 2016, SPIE Medical Imaging.

[18]  Greg Zaharchuk,et al.  Amplified magnetic resonance imaging (aMRI) , 2016, Magnetic resonance in medicine.

[19]  Billy Y S Yiu,et al.  High-frame-rate ultrasound color-encoded speckle imaging of complex flow dynamics. , 2013, Ultrasound in medicine & biology.

[20]  Thomas Bülow,et al.  Hypercomplex signals-a novel extension of the analytic signal to the multidimensional case , 2001, IEEE Trans. Signal Process..

[21]  J. Jensen,et al.  A new method for estimation of velocity vectors , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[22]  Frédo Durand,et al.  Revealing Invisible Changes in the World , 2013 .

[23]  Michel Bertrand,et al.  Noninvasive vascular elastography: theoretical framework , 2004, IEEE Transactions on Medical Imaging.

[24]  J. Blacher,et al.  Aortic pulse wave velocity as a marker of cardiovascular risk in hypertensive patients. , 1999, Hypertension.

[25]  Jianwen Luo,et al.  Pulse Wave Imaging (PWI) and arterial stiffness measurement of the human carotid artery: An in vivo feasibility study , 2011, 2011 IEEE International Ultrasonics Symposium.

[26]  Frédo Durand,et al.  Video magnification in presence of large motions , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[27]  Robert Michael Kirby,et al.  Comparing 2D vector field visualization methods: a user study , 2005, IEEE Transactions on Visualization and Computer Graphics.

[28]  E. Konofagou,et al.  ECG-gated, mechanical and electromechanical wave imaging of cardiovascular tissues in vivo. , 2007, Ultrasound in medicine & biology.