Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jorrit A. Schaap"'
Automated segmentation and analysis of vascular structures in magnetic resonance angiographic images
Autor:
Johannes P. Janssen, R.J. van der Geest, Jos J.M. Westenberg, Jorrit A. Schaap, P.J.H. de Koning, Johan H. C. Reiber
Publikováno v:
Magnetic Resonance in Medicine. 50:1189-1198
The accurate assessment of the presence and extent of vascular disease, and planning of vascular interventions based on MRA requires the determination of vessel dimensions. The current standard is based on measuring vessel diameters on maximum intens
Autor:
Faiza Admiraal-Behloul, Saskia le Cessie, Stefan C. A. Steens, Claudia A. M. Wheeler-Kingshott, Mark A. van Buchem, Jorrit A. Schaap, Frank Gerardus Cornelis Hoogenraad, Paul S. Tofts
Publikováno v:
ResearcherID
The aim of this study was to assess the effect of differences in acquisition technique on whole-brain apparent diffusion coefficient (ADC) histogram parameters, as well as to assess scan-rescan reproducibility. Diffusion-weighted imaging (DWI) was pe
Publikováno v:
CARS
A new method is presented to segment vessels in 3D MRA data, based on the wavefront propagation algorithm. We will compare the results to conventional X-ray DSA, and we will show our 3D visualization and interaction platform.
Autor:
Denis P Shamonin, Jorrit A. Schaap, Alfons G. Hoekstra, Peter M. A. Sloot, Lilit Abrahamyan, Rob J. van der Geest, Frieke M.A. Box, Johan H. C. Reiber
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540260325
International Conference on Computational Science (1)
International Conference on Computational Science (1)
We introduce a complete problem solving environment designed for pulsatile flows in 3D complex geometries, especially arteries. Three-dimensional images from arteries, obtained from e.g. Magnetic Resonance Imaging, are segmented to obtain a geometric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f100409165e688e0902fae96447f6b3a
http://link.springer.com/chapter/10.1007/11428831_36
http://link.springer.com/chapter/10.1007/11428831_36
Autor:
Rob J. van der Geest, Patrick J.H. de Koning, Jorrit A. Schaap, Johannes P. Janssen, J.J.M. Westenberg, Johan H. C. Reiber
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540435945
International Conference on Computational Science (3)
International Conference on Computational Science (3)
This paper describes a new method to segment vascular structures in 3D MRA data, based on the Wavefront Propagation algorithm. The center lumen line and the vessel boundary are detected automatically. Our 3D visualization and interaction platform wil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::487482597bb9c8b6da5a14c70d1d3d22
https://doi.org/10.1007/3-540-47789-6_26
https://doi.org/10.1007/3-540-47789-6_26
Autor:
Jorrit A. Schaap, Marcel C. M. Rutten, Mark A. van Buchem, Joost Doornbos, Frieke M.A. Box, Johan H. C. Reiber, Patrick J.H. de Koning, Frans N. van de Vosse, Rob J. van der Geest
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540435945
International Conference on Computational Science (3)
International Conference on Computational Science (3)
Wall Shear Stress is a key factor in the development of atherosclerosis. To assess the WSS in-vivo, velocity encoded MRI is combined with geometry measurements by 3D MR-Angiography (MRA) and with blood flow calculations using the Finite Element Metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::738541e400f86cc3c02d71b05b07998d
https://doi.org/10.1007/3-540-47789-6_27
https://doi.org/10.1007/3-540-47789-6_27
Autor:
Rob J. van der Geest, Johan H. C. Reiber, Milan Sonka, Jorrit A. Schaap, Steven C. Mitchell, Boudewijn P. F. Lelieveldt
Publikováno v:
Medical Imaging: Image Processing
Active Appearance Models (AAM), which have been recently introduced by Cootes et al., describe the shape of objects and gray level appearance from a set of example images. An AAM is created from user-placed contours defining the shape of objects of i