Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mikhail G. Danilouchkine"'
Autor:
Mikhail G. Danilouchkine, Alejandro F. Frangi, Jos J.M. Westenberg, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, Sebastian Ordas, Hans C. van Assen
Publikováno v:
Medical Image Analysis, 10(2), 286-303. Elsevier
A new technique (SPASM) based on a 3D-ASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with arbitrary orientations, and with large undersampled regions. Model landmark positions are updated in a
Autor:
Mikhail G. Danilouchkine, Boudewijn P. F. Lelieveldt, Jos J.M. Westenberg, Rob J. van der Geest, Johan H. C. Reiber
Publikováno v:
Journal of Magnetic Resonance Imaging. 22:754-764
Purpose To theoretically and experimentally investigate the influence of the automated cardiovascular magnetic resonance (CMR) scan planning pitfalls, namely inaccurate positioning and tilting of short-axis (SA) imaging planes, on quantification of t
Autor:
Mikhail G. Danilouchkine, Jhc Johan Reiber, van der Rj Rob Geest, de Pjh Patrick Koning, Gerhard Koning, E Angelié, van Hc Hans Assen
Publikováno v:
Medical Physics. 32:369-375
Automatic segmentation of the left ventricular (LV) myocardial borders in cardiovascular MR (CMR) images allows a significant speed-up of the procedure of quantifying LV function, and improves its reproducibility. The automated boundary delineation i
Publikováno v:
The International Journal of Cardiovascular Imaging formerly The International Journal of Cardiac Imaging. 20:411-458
116 Purpose – Nowadays, Multi-Slice CT and MR are becoming the preferred methods to evaluate diseases affecting the heart. Both modalities are widely utilized for assessment of global cardiac function. Manual quantitative analysis of the vast amoun
Autor:
M.S. Dirksen, Boudewijn P. F. Lelieveldt, J.H.C. Reiber, Mikhail G. Danilouchkine, H.C. van Assen
Publikováno v:
IEEE Transactions on Information Technology in Biomedicine, 12(5), 595-605. Institute of Electrical and Electronics Engineers
—Manual quantitative analysis of cardiac left ventricular function using Multislice CT and MR is arduous because of the large data volume. In this paper, we present a 3-D active shape model (ASM) for semiautomatic segmentation of cardiac CT and MRv
Autor:
Mikhail G, Danilouchkine, Jos J M, Westenberg, Hans C, van Assen, Johan H C, van Reiber, Boudewijn P F, Lelieveldt
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 8(Pt 2)
This paper presents a new approach for lung registration and cardiac motion prediction, based on a 3D geometric model of the left lung. Feature points, describing a shape of this anatomical object, are automatically extracted from acquired tomographi
Autor:
Faiza Admiraal-Behloul, Johan H. C. Reiber, Boudewijn P. F. Lelieveldt, Mikhail G. Danilouchkine, Rob J. van der Geest
Publikováno v:
Medical Imaging: Image Processing
This paper describes a method for automatic contour detection in reformatted short-axis (SA) cardiac computed tomography (CT) using a virtual exploring robot. The robot is a tricycle with a steering front wheel. Its motion obeys a set of kinematic eq
Autor:
Hans C. van Assen, Sebastian Ordas, Boudewijn P. F. Lelieveldt, Jos J.M. Westenberg, Alejandro F. Frangi, Johan H. C. Reiber, Mikhail G. Danilouchkine
Publikováno v:
Functional Imaging and Modeling of the Heart ISBN: 9783540261612
FIMH
FIMH
In this paper, a new technique (SPASM) based on a 3D-ASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with different orientations, and with large undersampled regions. SPASM was applied to spars
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9f26a601415b1ca45675060d5b947fe
https://doi.org/10.1007/11494621_4
https://doi.org/10.1007/11494621_4
Autor:
Boudewijn P. F. Lelieveldt, Mikhail G. Danilouchkine, Mark Blok, Johan H. C. Reiber, Cor J. Veenman, Faiza Admiraal-Behloul, Emile A. Hendriks
Publikováno v:
Functional Imaging and Modeling of the Heart ISBN: 9783540261612
FIMH
FIMH
This paper describes a method for automatic contour detection in long-axis cardiac MRI using an adaptive virtual exploring robot. The robot is a simulated trained virtual autonomous tri-cycle that is initially positioned in a binary representation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b139c031a5fc2bc229dbd4c12cf6292
https://doi.org/10.1007/11494621_6
https://doi.org/10.1007/11494621_6
Autor:
Mikhail G. Danilouchkine, Boudewijn P. F. Lelieveldt, Jos J.M. Westenberg, Johan H. C. Reiber
Publikováno v:
Investigative radiology. 39(12)
This study investigates the use of an automated observer-independent planning system for short-axis cardiovascular magnetic resonance (MR) acquisitions in the clinical environment. The capacity of the automated method to produce accurate measurements