Prof. Stijn De Buck Profile

Prof. Stijn De Buck

Ir. at KU Leuven

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Publications (8)

Proceedings Article | 3 April 2023 Poster + Paper

Augmented reality guidance platform for epicardial access: a phantom study

Kobe Bamps, Jeroen Bertels, Lennert Minten, Alexis Puvrez, Walter Coudyzer, Stijn De Buck, Joris Ector

Proceedings Volume 12466, 124661S (2023) https://doi.org/10.1117/12.2653902

KEYWORDS: Augmented reality, Autoregressive models, Calibration, Head-mounted displays, Skin, Ablation, Visualization, 3D tracking, Cameras, 3D modeling

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Proceedings Article | 16 March 2020 Paper

Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation

Stijn De Buck, Jeroen Bertels, Chelsey Vanbilsen, Tanguy Dewaele, Chantal Van Ongeval, Hilde Bosmans, Jan Vandevenne, Paul Suetens

Proceedings Volume 11314, 1131423 (2020) https://doi.org/10.1117/12.2549585

KEYWORDS: Breast, Computed tomography, Image segmentation, Breast cancer, Radiology, Image analysis, 3D image processing, Convolutional neural networks, Artificial intelligence, Computer aided diagnosis and therapy

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Proceedings Article | 12 March 2014 Paper

Registration-based filtering: An acceptable tool for noise reduction in left ventricular dynamic rotational angiography images?

Jean-Yves Wielandts, Stijn De Buck, Joris Ector, Dieter Nuyens, Frederik Maes, Hein Heidbuchel

Proceedings Volume 9036, 903628 (2014) https://doi.org/10.1117/12.2043480

KEYWORDS: Image segmentation, 3D modeling, Image registration, 3D image processing, Image filtering, Angiography, Denoising, Heart, Visualization, Composites

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Proceedings Article | 6 March 2013 Paper

A new approach for prospectively gated cardiac rotational angiography

Stijn De Buck, Dieter Dauwe, Jean-Yves Wielandts, Piet Claus, Stefan Janssens, Hein Heidbuchel, Dieter Nuyens

Proceedings Volume 8668, 86682W (2013) https://doi.org/10.1117/12.2007904

KEYWORDS: Magnetic resonance imaging, Image segmentation, Angiography, Heart, Beam propagation method, 3D image processing, Neptunium, 3D image reconstruction, Imaging systems, Cardiac imaging

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Proceedings Article | 10 March 2011 Paper

Automated planning of ablation targets in atrial fibrillation treatment

Johannes Keustermans, Stijn De Buck, Hein Heidbüchel, Paul Suetens

Proceedings Volume 7962, 796207 (2011) https://doi.org/10.1117/12.878250

KEYWORDS: 3D modeling, Angiography, 3D image processing, Data modeling, Statistical analysis, Detection and tracking algorithms, 3D acquisition, Veins, Atrial fibrillation, Statistical modeling

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Proceedings Article | 12 April 2005 Paper

Catheter based calibration for augmented reality guidance of cardiac thermo-ablation procedures

Stijn De Buck, Frederik Maes, Joris Ector, Hein Heidbuechel, Paul Suetens

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.595180

KEYWORDS: Calibration, Electrodes, Distortion, Augmented reality, Image registration, Visualization, Visual process modeling, Computer simulations, 3D modeling, Heart

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Proceedings Article | 30 May 2003 Paper

Visualizing electrocardiographic information on a patient specific model of the heart

Stijn De Buck, Frederik Maes, Wim Anne, Jan Bogaert, Steven Dymarkowski, Hein Heidbuchel, Paul Suetens

Proceedings Volume 5029, (2003) https://doi.org/10.1117/12.479796

KEYWORDS: 3D modeling, Visualization, Visual process modeling, Heart, Information visualization, Image registration, Tissues, Electrodes, Natural surfaces, Augmented reality

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The treatment of atrial tachycardia by radio-frequency ablation is a complex and minimally invasive procedure. In most cases the surgeon uses fluoroscopic imaging to guide catheters into the atria. After recording activation potentials from the electrodes on the catheter, which has to be done for different catheter positions, the physiologist has to fuse both the activation times derived from the potentials with the fluoroscopic images and extract from these a 3D anatomical model of the atrium. This model will provide him with the necessary information to locate the ablation regions. To alleviate the problem of mentally reconstructing these different sources of information, we propose a virtual environment that has the ability to visualize the electrodes information onto a patient specific model of the atria. This 3D atrium surface model is derived from pre-operatively taken MR-images. Within the system this model is visualized in 3 different ways: two views correspond to the 2 fluoroscopes images, which are shown registred in the background while the third one can be freely manipulated by the physiologist. The system allows to annotate measurements onto the 3D model. Since the heart is not a static organ, tools are provided to modify previous annotations interactively. The information contained in the measurements can than be dispersed across the heart after extrapolation and interpolation and subsequently visualized by color coding the surface model. Preliminary clinical evaluation on 30 patients indicates that the combined representation of the activation times and the heart model provides a thorough and more accurate insight into the possible causes and solutions to the tachycardia than would be obtained using solely the fluoroscopes images and mental reconstruction. Unlike other tachycardia visualization software, our approach starts with a patient specific surface model which in itself provides extra insight into the problem. Furthermore it can be used very interactively by the physiologist as a kind of 3D sketchbook where he can enter, delete, ... different measurements, tissue types. Finally, the system can visualize at any stage of the surgery a model containing all information at hand. In this paper we present a system to represent electrocardiographic information that allows the physiologist to mark measurements which can than be visualized on a patient specific atrium model by color coding. First clinical evaluation indicates that this approach offers a considerable amount of added value.

Proceedings Article | 17 May 2002 Paper

Evaluation of a visual matching registration technique for intraoperative surgery support

Stijn De Buck, Johan Van Cleynenbreugel, Guy Marchal, Paul Suetens

Proceedings Volume 4681, (2002) https://doi.org/10.1117/12.466952

KEYWORDS: Visualization, Image registration, Cameras, Surgery, Clouds, Augmented reality, Calibration, Image-guided intervention, Fluoroscopy, Medical imaging

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Showing 5 of 8 publications

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