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dr. ing. R.S.S. Maes

dr. ing. R.S.S. Maes

Associate Professor
dr. ing. R.S.S. Maes
  • 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 (81)

Efficient cascaded V-net optimization for lower extremity CT segmentation validated using bone morphology assessment

Kuiper Ruurd J.A., Sakkers Ralph J.B., van Stralen Marijn, Arbabi Vahid, Viergever Max A., Weinans Harrie, Seevinck Peter R. 2022, In: Journal of Orthopaedic Research. 40 , p. 2894-2907 14 p.

CT to MR registration of complex deformations in the knee joint through dual quaternion interpolation of rigid transforms

Kuiper Ruurd J.A., Van Stralen Marijn, Sakkers Ralph J.B., Bergmans Rick H.J., Zijlstra Frank, Viergever Max A., Weinans Harrie, Seevinck Peter R. 7 Sep 2021, In: Physics in medicine and biology. 66 18 p.

Ossification and Fusion of the Vertebral Ring Apophysis as an Important Part of Spinal Maturation

Costa Lorenzo, de Reuver Steven, Kan Luc, Seevinck Peter, Kruyt Moyo C, Schlosser Tom P C, Castelein René M Aug 2021, In: Journal of Clinical medicine. 10 , p. 1-10

Multiple-echo steady-state (MESS):Extending DESS for joint T2 mapping and chemical-shift corrected water-fat separation

Zijlstra Frank, Seevinck Peter R 16 Jul 2021, In: Magnetic Resonance in Medicine. 86 , p. 3156-3165 10 p.

3D-printed saw guides for lower arm osteotomy, a comparison between a synthetic CT and CT-based workflow

Willemsen Koen, Ketel Mirte H M, Zijlstra Frank, Florkow Mateusz C, Kuiper Ruurd J A, van der Wal Bart C H, Weinans Harrie, Pouran Behdad, Beekman Freek J, Seevinck Peter R, Sakkers Ralph J B 29 Apr 2021, In: 3D printing in medicine. 7 , p. 1-12

Magnetic resonance imaging-based synthetic computed tomography of the lumbar spine for surgical planning:a clinical proof-of-concept

Staartjes Victor E, Seevinck Peter R, Vandertop W Peter, van Stralen Marijn, Schröder Marc L Jan 2021, In: Neurosurgical Focus [E]. 50 , p. 1-7 7 p.

MRI-based synthetic CT shows equivalence to conventional CT for the morphological assessment of the hip joint

Florkow Mateusz C., Willemsen Koen, Zijlstra Frank, Foppen Wouter, van der Wal Bart C.H., van der Voort van Zyp Jochem R.N., Viergever Max A., Castelein René M., Weinans Harrie, van Stralen Marijn, Sakkers Ralph J.B., Seevinck Peter R. 2021, In: Journal of Orthopaedic Research. 40 , p. 954-964 11 p.

Deep learning-enabled MRI-only photon and proton therapy treatment planning for paediatric abdominal tumours

Florkow Mateusz C, Guerreiro Filipa, Zijlstra Frank, Seravalli Enrica, Janssens Geert O, Maduro John H, Knopf Antje C, Castelein René M, van Stralen Marijn, Raaymakers Bas W, Seevinck Peter R 7 Oct 2020, In: Radiotherapy & Oncology. 153 , p. 220-227 8 p.

Deep learning-based MR-to-CT synthesis:The influence of varying gradient echo-based MR images as input channels

Florkow Mateusz C, Zijlstra Frank, Willemsen Koen, Maspero Matteo, van den Berg Cornelis A T, Kerkmeijer Linda G W, Castelein René M, Weinans Harrie, Viergever Max A, van Stralen Marijn, Seevinck Peter R Apr 2020, In: Magnetic Resonance in Medicine. 83 , p. 1429-1441 13 p.

Visualization of gold fiducial markers in the prostate using phase-cycled bSSFP imaging for MRI-only radiotherapy

Shcherbakova Yulia, Bartels Lambertus Wilbert, Mandija Stefano, Beld Ellis, Seevinck Peter R, van der Voort van Zyp Jochem R N, Kerkmeijer Linda G W, Moonen Chrit T W, Lagendijk Jan J W, Van den Berg Cornelis A T 11 Sep 2019, In: Physics in Medicine and Biology. 64 , p. 185001 1 p.

All research output

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