Dr. Mikhail G. Danilouchkine Profile

Dr. Mikhail G. Danilouchkine

at Erasmus MC

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 25 March 2011 Paper

Single pulse frequency compounding protocol for superharmonic imaging

Mikhail Danilouchkine, Paul L. M. van Neer, Guillaume Matte, Martin Verweij, Nico de Jong

Proceedings Volume 7968, 796808 (2011) https://doi.org/10.1117/12.877699

KEYWORDS: Point spread functions, Transducers, Chemical elements, Ultrasonography, Tissues, Phased arrays, Wave propagation, Imaging systems, In vitro testing, Acoustics

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Second harmonic imaging is currently adopted as standard in commercial echographic systems. A new imaging technique, coined as superharmonic imaging (SHI), combines the 3rd till the 5th harmonics, arising during nonlinear sound propagation. It could further enhance resolution and quality of echographic images. To meet the bandwidth requirement for SHI a dedicated phased array has been developed: a low frequency subarray, intended for transmission, interleaved with a high frequency subarray, used in reception. As the bandwidth of the elements is limited, the spectral gaps in between the harmonics cause multiple reflection artifacts. Recently, we introduce a dual-pulse frequency compounding (DPFC) method to suppress those artifacts at price of a reduced frame rate. In this study we investigate the feasibility of performing the frequency compounding protocol within a single transmission. The traditional DPFC method constructs each trace in a post-processing stage by summing echoes from two emitted pulses, the second slightly frequency-shifted compared to the first. In the newly proposed method, the transmit aperture is divided into two parts: the first half is used to send a pulse at the lower center frequency, while the other half simultaneously transmits at the higher center frequency. The suitability of the protocol for medical imaging applications in terms of the steering capabilities was performed in a simulation study using the FIELD II toolkit. Moreover, an experimental study was performed to deduce the optimal parametric set for implementation of the clinical imaging protocol. The latter was subsequently used to obtain the images of a tissue mimicking phantom containing strongly reflecting wires. For in-vitro acquisitions the SHI probe with interleaved phased array (44 odd elements at 1MHz and 44 even elements at 3.7MHz elements, optimized for echocardiography) was connected to a fully programmable ultrasound system. The results of the Field II simulations demonstrated that the angle between the main and grating lobe amounted to 90°. The difference in the fundamental pressure level between those lobes was equal to -26.8 dB. Those results suggest that the superharmonic content in the grating lobe was acceptably low. A considerable improvement in the axial resolution of the SHI component (0.73 mm) at -6 dB in comparison with the 3rd harmonic (2.23 mm) was observed. A similar comparison in terms of the lateral resolution slightly favored the superharmonic component by 0.2 mm. Additionally, the images of the tissue mimicking phantom exhibited an absence of the multiple reflection artifacts in the focal and post-focal regions. The new method is equally effective in eliminating the ripple artifacts associated with SHI as the dual pulse technique, while the full frame rate is maintained.

Proceedings Article | 13 March 2010 Paper

Artifact aware tracking of left ventricular contours in 3D ultrasound

K. Y. Leung, Mikhail Danilouchkine, Marijn van Stralen, Nico de Jong, Antonius F. van der Steen, Johan Bosch

Proceedings Volume 7623, 76230R (2010) https://doi.org/10.1117/12.843431

KEYWORDS: Motion estimation, Motion models, Ultrasonography, Optical tracking, Optical flow, Statistical analysis, Expectation maximization algorithms, Transform theory, Near field, Principal component analysis

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Proceedings Article | 27 March 2009 Paper

Tracking left ventricular borders in 3D echocardiographic sequences using motion-guided optical flow

K. Y. Esther Leung, Mikhail Danilouchkine, Marijn van Stralen, Nico de Jong, Antonius F. van der Steen, Johan Bosch

Proceedings Volume 7259, 72590W (2009) https://doi.org/10.1117/12.810990

KEYWORDS: Motion models, Image segmentation, Optical flow, Optical tracking, 3D modeling, Data modeling, Transform theory, Principal component analysis, Affine motion model, 3D image processing

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Proceedings Article | 13 March 2008 Paper

IVUS catheter motion: implications for ultrasonic speckle and correction in IVUS palpography

Mikhail Danilouchkine, Frits Mastik, Antonius van der Steen

Proceedings Volume 6920, 69200V (2008) https://doi.org/10.1117/12.770340

KEYWORDS: Tissues, Intravascular ultrasound, Speckle, Arteries, Motion estimation, Ultrasonics, Heart, Optical flow, Motion analysis, Detection and tracking algorithms

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Proceedings Article | 12 March 2007 Paper

Interframe registration of IVUS images due to catheter rotation with feature-based optical flow

Mikhail Danilouchkine, Frits Mastik, Antonius F. W. van der Steen

Proceedings Volume 6513, 65130V (2007) https://doi.org/10.1117/12.707303

KEYWORDS: Optical flow, Tissues, Intravascular ultrasound, Ultrasonography, Tissue optics, Convolution, Arteries, Ultrasonics, Affine motion model, Motion models

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Proceedings Article | 29 April 2005 Paper

Automated quantification of cardiac short-axis multi-slice CT images for assessment of left ventricular global function

Mikhail Danilouchkine, Faiza Admiraal-Behloul, Rob van der Geest, Boudewijn Lelieveldt, Johan Reiber

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.584637

KEYWORDS: Computed tomography, Image segmentation, Fuzzy logic, Tissues, Blood, Sensors, Binary data, Navigation systems, Kinematics, Space robots

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Proceedings Article | 15 May 2003 Paper

Three-dimensional active shape model matching for left ventricle segmentation in cardiac CT

Hans van Assen, Rob van der Geest, Mikhail Danilouchkine, Hildo Lamb, Johan Reiber, Boudewijn Lelieveldt

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481314

KEYWORDS: 3D modeling, Data modeling, 3D image processing, Image segmentation, Blood, Statistical modeling, 3D acquisition, Computed tomography, Statistical analysis, Principal component analysis

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Showing 5 of 7 publications

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