Kaj Gijsbertse, M.Sc.

Kaj Gijsbertse, M.Sc. | Ph.D. student for the ERC project BioMechTools. Orthopaedic Research Laboratory Nijmegen, radboudumc, Radboud University Nijmegen Medical Centre. Kaj.GijsbertseAapjeradboudumc.nl
T: +31 (0) 24 36 13366 (secretary)
About Me
Research Impression
Publications

About Me

I studied Biomedical Engineering at the University of Twente, Enschede. In 2011 I did an internship at the Gadjah Mada University, Yogyakarta – Indonesia, where I adapted the design of a tibia bone plate for the Indonesian anthropology society using x-ray data. My master’s thesis focused on 3D target localization within curved objects using ultrasound, this research was done within the group of Biomechanical Engineering in collaboration with the Robotics and Mechatronics group.

As of October 2013, I’m a PhD-student in the project ‘Biomechanical Diagnostic, Pre-Planning and Outcome Tools to improve Musculoskeletal Surgery’, acronym ‘BioMechTools’. This project is funded by the ‘European Research Council, Advanced Grant’ and awarded to Prof. Dr. Ir. Nico Verdonschot. My task is to develop ultrasound diagnostic tools which can visualize the deformation of soft tissues within the lower extremities. This research is done in collaboration with the ‘Medical UltraSound Imaging Center‘ (MUSIC) of Chris de Korte.

– For the time being I’ll work at the Radiology Department.
– My supervisors are Nico Verdonschot and André Sprengers. Chris de Korte is also involved.
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Research Impression

The aetiology of many musculoskeletal diseases is related to biomechanical factors. However, the tools to assess the biomechanical condition of the patient used by clinicians and researchers are often crude and subjective. Nevertheless, treatment and rehabilitation options are based on these assessments which lead to non-optimal patient care, inefficient use of the health care system and inferior research capabilities. For details see our ‘ERC BioMechTools‘ project

The goal of my research is to develop ultrasound based tools to quantify the conditions of soft tissue within the lower extremities under dynamic loading. These imaging techniques will supply highly detailed information for the construction of personalized biomechanical models. With these models we aim to develop superior diagnostic and evaluation tools to quantify the degenerative status of orthopaedic patients.
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Publications

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