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dr. ir. P.R. Seevinck

dr. ir. P.R. Seevinck

Associate Professor
dr. ir. P.R. Seevinck
  • Image Sciences Institute

Biography

Biography

Peter Seevinck graduated Biomedical Engineering at the Eindhoven University of Technology in 2005. In 2009, he received his PhD in Medical Imaging at Utrecht University after defending his thesis entitled “Multimodal imaging of holmium-loaded microspheres for internal radiation therapy”.

Currently Peter is appointed Associate Professor (UHD) at the Image Sciences Institute in the Imaging Division of UMC Utrecht. He acts as a coordinator and lecturer in several courses in the field of MRI. His research is focusing on the development and clinical introduction of novel MR imaging methods and advanced machine learning algorithms for minimally invasive and safe personalized image-guided diagnosis and therapy. Examples of these novel approaches include MRI-guided device visualization for cardiac stem cell therapy and brachytherapy, MRI-only radiotherapy treatment planning for more efficient and shorter treatment workup and MRI-based bone imaging (BoneMRI), reducing radiation burden and workflow complexity. He has >50 publications in this field, and has been awarded several (personal) scientific and valorisation grants including VENI (interventional MRI), IMDI ZonMw (MRI-based radiotherapy planning), TTW Take-off phase I and II (commercialization of BoneMRI) and TTW Smart Industry (Deep learning-based image synthesis for orthopedics), NWO KIEM (BoneMRI in the shoulder) and Eurostars (additive manufacturing for orthopedics).

Peter Seevinck is co-founder of MRIguidance B.V., a company that commercializes BoneMRI, the first medical imaging technique that visualizes both bone and soft tissue, without the need for hazardous radiation. BoneMRI renders MRI a one-stop-shop workflow both for diagnostic/prognostic purposes as well as for innovative surgical purposes (e.g. pre-operative planning, navigation, virtual/augmented reality and robotics). For the patient such a one-stop-shop approach could lead to less radiological examinations, less hospital visits and a lower radiation burden.  “With the CE marking of BoneMRI in 2019 an important milestone has been reached, as this opens the door towards widespread usage for the benefit of the patient”.

Research Output (94)

The three-dimensional coupling mechanism in scoliosis and its consequences for correction

Costa Lorenzo, Schlosser Tom P C, Seevinck Peter, Kruyt Moyo C, Castelein René M Nov 2023, In: Spine Deformity. 11 , p. 1509-1516 8 p.

Correction:The three-dimensional coupling mechanism in scoliosis and its consequences for correction (Spine Deformity, (2023), 11, 6, (1509-1516), 10.1007/s43390-023-00732-8)

Costa Lorenzo, Schlosser Tom P C, Seevinck Peter, Kruyt Moyo C, Castelein René M Nov 2023, In: Spine Deformity. 11 , p. 1553 1 p.

Automatic generation of subject-specific finite element models of the spine from magnetic resonance images

Kok Joeri, Shcherbakova Yulia M., Schlösser Tom P.C., Seevinck Peter R., van der Velden Tijl A., Castelein René M., Ito Keita, van Rietbergen Bert 5 Sep 2023, In: Frontiers in bioengineering and biotechnology. 11

Automatic Assessment of Lower-Limb Alignment from Computed Tomography

Kuiper Ruurd J A, Seevinck Peter R, Viergever Max A, Weinans Harrie, Sakkers Ralph J B 3 May 2023, In: The Journal of bone and joint surgery. American volume. 105 , p. 700-712 13 p.

Statistical shape model of the talus bone morphology: A comparison between impinged and nonimpinged ankles

Arbabi Saeed, Weinans Harrie, Foppen Wouter, Seevinck Peter, de Jong Pim, Sturkenboom Joran, van Hamersvelt Robbert, Foppen Wouter, Arbabi Vahid Jan 2023, In: Journal of Orthopaedic Research. 41 , p. 183-195 13 p.

MRI-based synthetic CT in the detection of knee osteoarthritis:Comparison with CT

Arbabi Saeed, Foppen Wouter, Gielis Willem Paul, van Stralen Marijn, Jansen Mylène, Arbabi Vahid, de Jong Pim A, Weinans Harrie, Seevinck Peter 2023, In: Journal of Orthopaedic Research. 41 , p. 2530-2539 10 p.

Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning

Kuiper Ruurd J A, Colaris Joost W, Stockmans Filip, van Es Eline M, Viergever Max A, Seevinck Peter R, Weinans Harrie, Sakkers Ralph J B 2023, In: International Journal of Computer Assisted Radiology and Surgery. 18 , p. 2307-2318 12 p.

Bone visualization of the cervical spine with deep learning-based synthetic CT compared to conventional CT:A single-center noninferiority study on image quality

van der Kolk Brigitta (Britt) Y.M., Slotman Derk J.(Jorik), Nijholt Ingrid M., van Osch Jochen A.C., Snoeijink Tess J., Podlogar Martin, van Hasselt Boudewijn A.A.M., Boelhouwers Henk J., van Stralen Marijn, Seevinck Peter R., Schep Niels W.L., Maas Mario, Boomsma Martijn F. Sep 2022, In: European Journal of Radiology. 154 , p. 1-9

Synthetic CT for the planning of MR-HIFU treatment of bone metastases in pelvic and femoral bones:a feasibility study

Lena Beatrice, Florkow Mateusz C., Ferrer Cyril J., van Stralen Marijn, Seevinck Peter R., Vonken Evert Jan P.A., Boomsma Martijn F., Slotman Derk J., Viergever Max A., Moonen Chrit T.W., Bos Clemens, Bartels Lambertus W. Jul 2022, In: European Radiology. 32 , p. 4537-4546 10 p.

Magnetic Resonance Imaging Versus Computed Tomography for Three-Dimensional Bone Imaging of Musculoskeletal Pathologies:A Review

Florkow Mateusz C., Willemsen Koen, Mascarenhas Vasco V., Oei Edwin H.G., van Stralen Marijn, Seevinck Peter R. Jul 2022, In: Journal of Magnetic Resonance Imaging. 56 , p. 11-34 24 p.

All research output

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