Biomedical Engineering

Several research groups carry out research in the field of biomedical engineering. It involves the following activities summarized in more details below: Bioinformatics and computational biology, Biomedical data analysis, Biosensors, Medical Imaging, Modelling of biological and physiological systems.

Principal Investigators :

Pierre-Antoine Absil, Frédéric Crevecoeur, Pierre Dupont, Denis Flandre, Laurent Jacques, Philippe Lefèvre, Benoit Macq, Michel Verleysen

Research Labs :

Machine Learning Group, INMA (Mathematical Engineering research division), Image and Signal Processing Group (ISPGroup)

Research Areas :

ICTEAM is involved in Transcriptomics and High-Throughput Technologies. This research activity focuses on the identification of biomarkers from gene expression data, as measured by high-throughput technologies such as high-density DNA microarrays or next generation sequencing platforms. These biomarkers may be used for medical diagnosis, prognosis or prediction of the response to a treatment. Our research objectives also include the link between transcriptomic data and functional analysis from a system biology viewpoint. Several collaborations exist on those topics with the UCL Institute for Experimental and Clinical Research in the context of cancer research, allergy prediction among newborns and early diagnosis of arthritis.

Current projects also involve analysis and filtering of biomedical data and signals. It concerns a wide variety of applications based on the expert knowledge on data analysis and processing to the biomedical field:

  • analysis of biomedical signals (including ECG, EEG, etc.) for automatic pre-diagnosis
  • filtering of medical scan images for contour extraction

Several research projects aim at developing biosensors and biomedical applications of electronics:

  • application to monitoring of respiration (micro-systems)
  • low power systems for biomedical applications
  • security and cryptography for biomedical applications

ICTEAM pursues research on image processing tools and applications for the use in various medical contexts (radiotherapy, proton therapy, brachytherapy, surgery) and at different stages of treatment (planning, execution and follow-up). The research focuses on:

  • rigid and non-rigid image registrations methods for 2D-3D and 3D-3D images both for single and multiple modalities as well as for surfaces;
  • segmentation techniques either using prior knowledge (atlas-based) or allowing user interaction (graph cuts)
  • human-computer interactions to create intuitive user interfaces for the clinical world.

Another field of research is the solving of inverse problems from generalized sparsity prior (with applications in optics and X-ray CT), Compressed Sensing (theory and application), theoretical questions linked to the design of new sensors (for computer vision), applied mathematics for astronomical and biomedical signal processing questions, and representation of data on strange spaces (e.g., sphere, manifolds, or graphs). Besides, research is pursued on EEG reconstruction, transcranial magnetic stimulation, as well as on the use of functional imaging for measuring motion disorders.

The institute is also involved in shape analysis for protein docking. This includes 3D mesh processing and the analysis of protein surface properties.

ICTEAM also has research activities investigating the neural control movement. These activities are based on experimental, clinical and modelling approaches. Among the ongoing projects:

  • interaction between vision and the neural control of movement
  • experimental and modelling study of eye and head movements as well as eye-hand coordination
  • clinical studies: the influence of Duane Retraction Syndrome and Cerebral Palsy on vision and eye movements (St Luc Hospital and fondation JED).
  • dextrous manipulation in micro- and hyper-gravity (supported by Prodex and ESA)
  • the role of internal models: prediction and anticipation in smooth pursuit and saccade programming

Most recent publications

Below are listed the 10 most recent journal articles and conference papers produced in this research area. You also can access all publications by following this link : see all biomedical engineering publications

Journal Articles

1. Crevecoeur, Frédéric; Gevers, Michel. Filtering compensation for delays and prediction errors during sensorimotor control. In: Neural Computation, Vol. 31, p. 1-27 (2019). doi:10.1162/neco_a_01170 (Accepté/Sous presse).

2. Orban de Xivry, Jean-Jacques; Legrain, Valéry; Lefèvre, Philippe. Overlap of movement planning and movement execution reduces reaction time. In: Journal of Neurophysiology, Vol. 117, no. 1, p. 117-122 (2017). doi:10.1152/jn.00728.2016.

3. Crevecoeur, Frédéric; Kording, Konrad. Saccadic suppression as a perceptual consequence of efficient sensorimotor estimation. In: eLife, Vol. 6 (2017). doi:10.7554/elife.25073.

4. Kieffer, Suzanne; Ghouti, Aissa; Vandeleene, Bernard; Macq, Benoît. development Of A Mobile Health Application For The Self-management And The Empowerment Of Patients With Diabetes Condition: Cod: M178. In: Clinical Chemistry and Laboratory Medicine : Associated with FESCC and IFCC,.

5. Li, Chengnan; Ye, Ran; Bouckaert, Julie; Zurutuza, Amaia; Drider, Djamel; Dumych, Tetiana; Paryzhak, Solomiya; Vovk, Volodymyr; Bilyy, Rostyslav O.; Melinte, Sorin; Li, Musen; Boukherroub, Rabah; Szunerits, Sabine. Flexible Nanoholey Patches for Antibiotic-Free Treatments of Skin Infections. In: ACS Applied Materials and Interfaces, Vol. 9, p. 36665-36674. doi:10.1021/acsami.7b12949.

6. Brousmiche, Sébastien; Souris, Kevin; Orban de Xivry, Jonathan; Lee, John Aldo; Macq, Benoît; Seco, Joao. Combined influence of CT random noise and HU-RSP calibration curve nonlinearities on proton rage systematic errors. In: Physics in Medicine and Biology, Vol. 62, p. 8226. doi:10.1088/1361-6560/aa86e9.

7. Diniz Lopes, Carla; Becker, Tiago; de Jesus Kozakevicius, Alice; A. Rasia-Filho, Alberto; Macq, Benoît; Susin, Altamiro Amadeu. A P300 potential evaluation wavelet method comparing individuals with high and low risk for alcoholism. In: Neural Computing and Applications, Vol. 28, no.12, p. 3737-3748 (December 2017). doi:10.1007/s00521-016-2225-8.

8. Deffet, Sylvain; Macq, Benoît; Righetto, Roberto; Vander Stappen, François; Farace, Paolo. Registration of Pencil Beam Proton Radiography Data With X-Ray CT. In: Medical Physics, (3/8/2017). doi:10.1002/mp.12497 (Accepté/Sous presse).

9. Crevecoeur, Frédéric; Barrea, Allan; Libouton, Xavier; Thonnard, Jean-Louis; Lefèvre, Philippe. Multisensory Components of Rapid Motor Responses to Fingertip Loading. In: Journal of Neurophysiology, Vol. 118, no. 1, p. 331-343 (2017). doi:10.1152/jn.00091.2017.

10. Orban de Xivry, Jean-Jacques; Legrain, Valéry; Lefèvre, Philippe. Overlap of movement planning and movement execution reduces reaction time by up to 100ms. In: Journal of Neurophysiology, Vol. 117, no. /, p. 117-122 (2017). doi:10.1101/039842.

Conference Papers

1. Sketch, Sean M.; Simpson, Cole S.; Crevecoeur, Frédéric; Okamura, Allison M.. Simulating the impact of sensorimotor deficits on reaching performance. In: 2017 International Conference on Rehabilitation Robotics (ICORR), IEEE, 2017. doi:10.1109/icorr.2017.8009217.

2. Arnould Geelhand de Merxem; Lechien, Vianney; Tanguy Thibault; Dasnoy-Sumell, Damien; Macq, Benoît. Design and implementation of a MRI compatible and dynamic phantom simulating the motion of a tumor in the liver under the breathing cycle. In: 13th International Symposium on Medical Information Processing and Analysis, International Society for Optics and Photonics, 2017, 9781510616332, p. 105720X. doi:10.1117/12.2285620.

3. Willème, Alexandre; Descampe, Antonin; Rouvroy, Gaël; Pellegrin, Pascal; Macq, Benoît. JPEG XS-based frame buffer compression inside HEVC for power-aware video compression. Society of Photo-Optical Instrumentation Engineers, 2017. doi:10.1117/12.2273170.

4. McNally, David; Bruylants, Tim; Willème, Alexandre; Ebrahimi, Touradj; Schelkens, Peter; Macq, Benoît. JPEG XS call for proposals subjective evaluations. Society of Photo-Optical Instrumentation Engineers, 2017. doi:10.1117/12.2275137.

5. Brion, Eliott; Richter, Christian; Macq, Benoît; Stützer, Kristin; Exner, Florian; Troost, Esther; Hölscher, Tobias; Bondar, Maria Luiza. Modeling patterns of anatomical deformations in prostate patients undergoing radiation therapy with an endorectal balloon. In: Proceedings Volume 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. . doi:10.1117/12.2251933.

6. Willème, Alexandre; Richter, Thomas; Rosewarne, Chris; Macq, Benoît. Overview of the JPEG XS objective evaluation procedures. Society of Photo-Optical Instrumentation Engineers, 2017. doi:10.1117/12.2273168.

7. Branders, Vincent; Schaus, Pierre; Dupont, Pierre. Mining a sub-matrix of maximal sum. In: Proceedings of the 6th International Workshop on New Frontiers in Mining Complex Patterns in conjunction with ECML-PKDD 2017.

8. Rensonnet, Gaëtan; Jacobs, Damien; Macq, Benoît; Taquet, Maxime. Fast and accurate simulations of diffusion-weighted MRI signals for the evaluation of acquisition sequences. In: SPIE Medical Imaging proceedings, 2016, 9781510600195, p. 97843L-97843L-9. doi:10.1117/12.2217422.

9. Verfaille, Charlotte; Cordova Bulens, David; Filbrich, Lieve; Barbier, Olivier; Libouton, Xavier; Fraselle, Virginie; Mouraux, Dominique; Berquin, Anne; Legrain, Valéry. Does CRPS impair visuo-motor coordination in peripersonal space?.

10. Rensonnet, Gaëtan; Jacobs, Damien; Macq, Benoît; Taquet, Maxime. A hybrid method for efficient and accurate simulations of diffusion compartment imaging signals. doi:10.1117/12.2207890.