Ir. Wyke Huizinga

Wyke Huizinga

Office: Na 25-09
Phone: +31-10-7044884
Email: w.huizinga@erasmusmc.nl

Curriculum Vitae

Wyke Huizinga (Alkmaar, 1989) received a BSc degree in applied physics at the Delft University of Technology. She did a minor in biomedical engineering and in that time she developed an interest for medical imaging. In 2013 Wyke received a MSc degree in applied physics with a specialization in image science and technology. Her graduation project was performed in the Biomedical Imaging Group Rotterdam at the Erasmus MC. The resulting thesis was entitled: “Groupwise Image Registration in Diffusion Weighted MRI using a PCA based Dissimilarity Metric”.

As of August 2013 Wyke works as a PhD student at the Erasmus MC on developing a model of the normal ageing brain using image processing techniques under the supervision of Dr. Ir. Stefan Klein and Dr. Ir. Dirk Poot. For this research a web-application was built, which can be found here: agingbrain.nl

LinkedIn

Research Gate

Research lines

Image Registration

Projects

Models of the aging brain

Journal publications

Journal Articles

  1. Huizinga, W., Staring, M., Klein, S., & Poot, D. H. J. (2017). Fast multi-dimensional B-spline algorithms using template metaprogramming. IEEE Transactions on Image Processing.
  2. Huizinga, W., Poot, D. H. J., Vernooij, M. W., Roshchupkin, G., Bron, E. E., Ikram, M. A., … the Alzheimer’s Disease Neuroimaging Initiative. (2017). A Spatio-temporal reference model of the aging brain. NeuroImage.
  3. Langen, C. D., Zonneveld, H. I., White, T., Huizinga, W., Cremers, L. G. M., de Groot, M., … Vernooij, M. W. (2017). White matter lesions relate to tract-specific reductions in functional connectivity. Neurobiology of Aging, 51, 97–103.
  4. Huizinga, W., Poot, D. H. J., Guyader, J.-M., Klaassen, R., Coolen, B. F., van Kranenburg, M., … Klein, S. (2016). PCA-based groupwise image registration for quantitative MRI. Medical Image Analysis, 29, 65–78.

Publications in conference proceedings

Conference Articles

  1. Langen, C. D., Vernooij, M. W., Cremers, L. G. M., Huizinga, W., de Groot, M., Ikram, M. A., … Niessen, W. J. The structural disconnectome: A pathology-sensitive extension of the structural connectome. In Proceedings of the 14th IEEE International Symposium on Biomedical Imaging. IEEE. https://doi.org/10.1109/ISBI.2017.7950539
  2. Polfliet, M., Klein, S., Huizing, W., de Mey, J., & Vandemeulebroucke, J. The Pythagorean averages as group images in efficient groupwise registration. In Proceedings of the 13th IEEE International Symposium on Biomedical Imaging (pp. 1261–1264). IEEE. https://doi.org/10.1109/ISBI.2016.7493496
  3. Guyader, J.-M., Huizinga, W., Fortuanti, V., Poot, D. H. J., van Kranenburg, M., Veenland, J. F., … Klein, S. Total correlation-based groupwise image registration for quantitative MRI. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. IEEE. https://doi.org/10.1109/CVPRW.2016.84
  4. Huizinga, W., Poot, D. H. J., Roshchupkin, G., Bron, E. E., Ikram, M. A., Vernooij, M. W., … Klein, S. Modeling the brain morphology distribution in the general aging population. In Proceedings of the SPIE Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 9788, pp. 97880I 7). SPIE. https://doi.org/10.1117/12.2207228
  5. Guyader, J.-M., Huizinga, W., Fortunati, V., Veenland, J. F., Paulides, M., Niessen, W. J., & Klein, S. Groupwise image registration of multimodal head-and-neck images. In Proceedings of the 12th IEEE International Symposium on Biomedical Imaging. IEEE. https://doi.org/10.1109/ISBI.2015.7163976
  6. Polfliet, M., Huizinga, W., Klein, S., de Mey, J., & Vandemeulebroucke, J. Pythagorean Mean Images for Efficient Groupwise Registration. In Imaging and Computer Assistance in Radiation Therapy - MICCAI 2015 Workshop.
  7. Huizinga, W., Poot, D. H. J., Guyader, J.-M., Smit, H., van Kranenburg, M., van Geuns, R. J., … Klein, S. Non-rigid groupwise image registration for motion compensation in quantitative MRI. In Proceedings of the International Workshop on Biomedical Image Registration 2014 (Vol. 5845, pp. 184–193). Springer. https://doi.org/10.1007/978-3-319-08554-8_19
  8. Huizinga, W., Staring, M., Klein, S., & Poot, D. H. J. Fast Multidimensional B-spline Interpolation Using Template Metaprogramming. In Proceedings of the International Workshop on Biomedical Image Registration 2014 (Vol. 5845, pp. 11–20). Springer. https://doi.org/10.1007/978-3-319-08554-8_2
  9. Huizinga, W., Metz, C., Poot, D. H. J., Leemans, A., Niessen, W. J., & Klein, S. Groupwise registration for correcting subject motion and eddy current distortions in diffusion MRI using a PCA based dissimilarity metric. In Computational Diffusion MRI and Brain Connectivity - MICCAI 2014 Workshop (pp. 163–174). Springer. https://doi.org/10.1007/978-3-319-02475-2_15

Miscellaneous

Miscellaneous

  1. Huizinga, W., Vernooij, M. W., Ikram, M. A., Klein, S., Poot, D. H. J., & Niessen, W. J. (2017). Deliverable 6.6: Evaluation of method to contrast individual to ageing brain models. Published as part of the VPH-DARE@IT project.
  2. Huizinga, W., Vernooij, M. W., Ikram, M. A., Klein, S., Poot, D. H. J., & Niessen, W. J. (2017). Deliverable 6.8: Software tool for interaction with ageing brain models. Published as part of the VPH-DARE@IT project.
  3. Toussaint, N., Cash, D., & Huizinga, W. (2015). Deliverable 3.3: Workflow implementation and streamlining for high-throughput image analysis of large-scale studies. Published as part of the VPH-DARE@IT project.
  4. Huizinga, W., Vernooij, M. W., Ikram, M. A., Klein, S., Poot, D. H. J., & Niessen, W. J. (2015). Deliverable 6.4: Software tool implementing generative 3D+t spatiotemporal models of the ageing brain. Published as part of the VPH-DARE@IT project.
  5. Huizinga, W., Vernooij, M. W., Ikram, M. A., Klein, S., Cremers, L. G. M., Poot, D. H. J., & Niessen, W. J. (2015). Deliverable 6.5: Ageing brain models in normal ageing and disease: virtual population for biophysical modelling. Published as part of the VPH-DARE@IT project.
  6. Huizinga, W., Niessen, W. J., Jasperse, M. M. S., Koek, M., Vrooman, H. A., Vernooij, M. W., … Poot, D. H. J. (2014). Deliverable 6.1: Normal ageing brain models - Initial phenomenological model and links to mechanical modelling framework. Published as part of the VPH-DARE@IT project.