My research focus is on improving the understanding of the female pelvic floor (problems). By automatic image analysis we can extract useful information from pelvic floor ultrasound and MRI images and study large patient populations. This image information we can use as input for more personalized biomechanical pelvic floor analysis (for example for a personalized finite element model). This will broaden our understanding of the pelvic floor and improve patient treatement.
Expertise
Medicine and Dentistry
- Muscle
- Woman
- Pelvic Organ Prolapse
- Pelvic Floor
- 3D Ultrasound
- Pessary
- Strain Imaging
Biochemistry, Genetics and Molecular Biology
- Ultrasound
Organisations
Publications
2025
Deep learning for segmentation of colorectal carcinomas on endoscopic ultrasound (2025)Techniques in coloproctology, 29(1). Article 20. Noort, F. v. d., Borg, F. t., Guitink, A., Faber, J. & Wolterink, J. M.https://doi.org/10.1007/s10151-024-03056-5
2024
Analysing the support mechanisms of the vaginal ring pessary on supine and upright MRI (2024)Scientific reports, 14(1). Article 30951. van den Noort, F., de Alba Alvarez, I., van der Steen, A., Smelt, A. D., Simonis, F. F. J. & Grob, A. T. M.https://doi.org/10.1038/s41598-024-81985-9
2023
3D ultrasound strain imaging of puborectal muscle with and without unilateral avulsion (2023)International Urogynecology Journal, 34(9), 2225-2233. Das, S., Hendriks, G. A. G. M., van den Noort, F., Manzini, C., van der Vaart, C. H. & de Korte, C. L.https://doi.org/10.1007/s00192-023-05498-1Unsupervised convolutional autoencoders for 4D transperineal ultrasound classification (2023)Journal of medical imaging, 10(1). Article 014004. Van Den Noort, F., Manzini, C., Hofsteenge, M., Sirmacek, B., Van Der Vaart, C. H. & Slump, C. H.https://doi.org/10.1117/1.JMI.10.1.014004Tissue Characterization of Puborectalis Muscle From 3-D Ultrasound (2023)Ultrasound in medicine and biology, 49(2), 527-538. Article 527-538. Cernat, C., Das, S., Hendriks, G. A. G. M., Noort, F. v. d., Manzini, C., van der Vaart, C. H. & de Korte, C. L.https://doi.org/10.1016/j.ultrasmedbio.2022.10.003
2022
Automatic identification and segmentation of slice of minimal hiatal dimensions in transperineal ultrasound volumes (2022)Ultrasound in obstetrics & gynecology, 60(4), 570-576. van den Noort, F., Manzini, C., van der Vaart, C. H., van Limbeek, M. A. J., Slump, C. H. & Grob, A. T. M.https://doi.org/10.1002/uog.24810Reply (2022)Ultrasound in obstetrics & gynecology, 60(4), 589-590. van den Noort, F., Manzini, C., van der Vaart, C. H., van Limbeek, M. A. J., Slump, C. H. & Grob, A. T. M.https://doi.org/10.1002/uog.26056Pessary fitting for pelvic organ prolapse: parameters associated with specific reasons for failure (2022)International Urogynecology Journal, 33(7), 2037-2046. Manzini, C., van der Vaart, C. H., van den Noort, F., Grob, A. T. M. & Withagen, M. I. J.https://doi.org/10.1007/s00192-021-05053-wTransperineal ultrasound to estimate the appropriate ring pessary size for women with pelvic organ prolapse (2022)International Urogynecology Journal, 33, 1981-1987. Manzini, C., Withagen, M. I. J., van den Noort, F., Grob, A. T. M. & van der Vaart, C. H.https://doi.org/10.1007/s00192-021-04975-9
2021
Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound (2021)[Working paper › Preprint]. ArXiv.org. van den Noort, F., Sirmacek, B. & Slump, C. H.https://doi.org/10.48550/arXiv.2107.13833
Research profiles
Address
University of Twente
Technohal (building no. 18), room 2386
Hallenweg 5
7522 NH Enschede
Netherlands
University of Twente
Technohal 2386
P.O. Box 217
7500 AE Enschede
Netherlands
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