T
Theo van Walsum
Researcher at Erasmus University Rotterdam
Publications - 156
Citations - 3301
Theo van Walsum is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 29, co-authored 129 publications receiving 2743 citations. Previous affiliations of Theo van Walsum include Delft University of Technology & Erasmus University Medical Center.
Papers
More filters
Journal ArticleDOI
Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms
Michiel Schaap,Coert Metz,Theo van Walsum,Alina G. van der Giessen,Annick C. Weustink,Nico R. Mollet,Christian Bauer,Hrvoje Bogunovic,Carlos Castro,Xiang Deng,Engin Dikici,Thomas F. O'Donnell,Michel Frenay,Ola Friman,Marcela Hernández Hoyos,Pieter H. Kitslaar,Karl Krissian,Caroline Kühnel,Miguel Luengo-Oroz,Maciej Orkisz,Örjan Smedby,Martin Styner,Andrzej Szymczak,Huseyin Tek,Chunliang Wang,Simon K. Warfield,Sebastian Zambal,Yong Zhang,Gabriel P. Krestin,Wiro J. Niessen,Wiro J. Niessen +30 more
TL;DR: A standardized evaluation methodology and reference database for the quantitative evaluation of coronary artery centerline extraction algorithms and a database containing 32 cardiac CTA datasets with corresponding reference standard is described and made available.
Proceedings ArticleDOI
Iconic techniques for feature visualization
TL;DR: This work presents a conceptual framework and a process model for feature extraction and iconic visualization, and describes some generic techniques to generate attribute sets, such as volume integrals and medial axis transforms.
Journal ArticleDOI
Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling.
Valerio Fortunati,René F. Verhaart,Fedde van der Lijn,Wiro J. Niessen,Jifke F. Veenland,Margarethus M. Paulides,Theo van Walsum +6 more
TL;DR: The proposed framework provides in an accurate automatic segmentation of head and neck tissues in CT images for the generation of 3D patient models, which improves reproducibility, and substantially reduces labor involved in therapy planning.
Journal ArticleDOI
3D fusion of intravascular ultrasound and coronary computed tomography for in-vivo wall shear stress analysis: a feasibility study
Alina van der Giessen,Alina van der Giessen,Michiel Schaap,Frank J. H. Gijsen,Harald C. Groen,Theo van Walsum,Nico R. Mollet,Jouke Dijkstra,Frans N. van de Vosse,Wiro J. Niessen,Wiro J. Niessen,Pim J. de Feyter,Antonius F.W. van der Steen,Jolanda J. Wentzel +13 more
TL;DR: In this article, a 3D reconstruction of human coronary arteries by the fusion of intravascular ultrasound (IVUS) and coronary computed tomography angiography (CT) is presented.
Journal ArticleDOI
Automatic segmentation, detection and quantification of coronary artery stenoses on CTA
Rahil Shahzad,Hortense A. Kirisli,Coert Metz,Hui Tang,Hui Tang,Michiel Schaap,Lucas J. van Vliet,Wiro J. Niessen,Wiro J. Niessen,Theo van Walsum +9 more
TL;DR: The method achieved a detection sensitivity of 29 % and a positive predictive value (PPV) of 24 % as compared to quantitative coronary angiography (QCA), and a sensitivity and a PPV of 21 %" as compared manual assessment based on consensus reading of CTA by 3 observers.