We develop image algorithms to support diagnosis and treatment decisions in stroke. We further aim to simplify the CT imaging protocol by developing new techniques to enable single 4D CT scanning, saving radiation dose, contrast agent and time to diagnosis.

The first algorithms have focused on segmentation of the main cerebral structures, including the intra-cavity space, blood vessels, white matter, gray matter and cerebrospinal fluid. The image below won the 'Best Medical Image' vote in the RSNA image contest of 2016. See also this interview.

Brain tissue and vessel segmentation in 4DCT

Aunt Minnie has extensively covered our work: on intra-cavity segmentation, on wm/gm segmentation and on color-mapping to visualize vascular flow disturbances. The work on intra-cavity segmentation was also covered by SPIE Newsroom.

We have fully switched to deep learning, for good reasons.



  • R. Manniesing, M.T. Oei, L.J. Oostveen, J. Melendez, E.J. Smit, B. Platel, C.I. Sánchez, F.J. Meijer, M. Prokop and B. van Ginneken. "White Matter and Gray Matter Segmentation in 4D Computed Tomography", Nature Scientific Reports 2017;7(119). Abstract/PDF DOI PMID

  • M. Meijs, A. Patel, S. van de Leemput, M. Prokop, E.J. van Dijk, F.-E. de Leeuw, F.J.A. Meijer, B. van Ginneken and R. Manniesing. "Robust Segmentation of the Full Cerebral Vasculature in 4D CT Images of Suspected Stroke Patients", Nature Scientific Reports 2017;7. Abstract/PDF DOI PMID

  • A. Patel, B. van Ginneken, F.J.A. Meijer, E.J. van Dijk, M. Prokop and R. Manniesing. "Robust Cranial Cavity Segmentation in CT and CT Perfusion Images of Trauma and Suspected Stroke Patients", Medical Image Analysis 2017;36:216-228. Abstract/PDF DOI PMID

  • R. Manniesing, M.T.H. Oei, B. van Ginneken and M. Prokop. "Quantitative Dose Dependency Analysis of Whole-Brain CT Perfusion Imaging", Radiology 2016;278(1):190-197. Abstract/PDF DOI PMID

  • H.G.J. Kortman, E.J. Smit, M.T.H. Oei, R. Manniesing, M. Prokop and F.J.A. Meijer. "4D-CTA in Neurovascular Disease: A Review", American Journal of Neuroradiology 2015;36:1026-1033. Abstract/PDF DOI PMID Citations found: 15