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ir. B.C. Venmans

ir. B.C. Venmans

Full Professor
ir. B.C. Venmans
  • 7T Group

Biography

Biography

Research interests

In my research team, we are investigating novel methods to enable imaging of metabolism and physiology of diseases and treatments non-invasively to aid clinical decision making. Using ultra-high magnetic fields, we demonstrated feasibility of imaging metabolism with magnetic resonance in the human body at clinically relevant spatial resolutions. Observing physiology and metabolism will provide a more direct and therefore faster and accurate means to characterize diseases and responses to treatments when compared to conventional morphologic imaging as known from cell studies. In fact, we have recently proven that metabolic images can predict efficacy of neoadjuvant chemotherapy in breast cancer much better and faster than any morphologic imaging technique could. The results have motivated public-private partnerships in translating the technology for clinical studies involving metabolic MRI throughout the body.

Compared to a few morpholic imaging contrasts conventionally available in radiology, potentially hundred of different metabolite levels could soon be imaged. Our innovation therefore brings radiology into the world of biochemistry and visa versa, creating a new bridge between research groups in identifying what non-invasively detectable metabolites would be useful for aiding clinic. In parallel, acceleration techniques in imaging are being investigated to maximize metabolic and physiologic information within a single scan session for each patient. These incorporate high density receiver array and even novel ways in gradient coil designs that speed up (metabolic) MRI with an anticiptated acceleration of an order of magnitude.

The very first prototype worldwide of metabolic MRI dedicated for clinical use will become available at the UMCU and clinical projects are being compiled for the focus areas of cancer, heart/vasculature, regenerative medicine, child, infections, brain. Teams from Dutch UMCU’s will use our system, while plans have been compiled to take the scientific lead of the next 8 systems positioned worldwide (3 already confirmed) prior to FDA approval.

Side Activities

Non executive board member Tesla Engingeering (no shareholder); advisor in MRI technology, August 2019 - August 2050

Research Output (167)

Proton metabolic mapping of the brain at 7 T using a two-dimensional free induction decay-echo-planar spectroscopic imaging readout with lipid suppression

Nam Kyung Min, Hendriks Arjan D, Boer Vincent O, Klomp Dennis W J, Wijnen Jannie P, Bhogal Alex A Oct 2022, In: NMR in Biomedicine. 35

Identifying the source of spurious signals caused by B 0 inhomogeneities in single-voxel H MRS.

Shams Zahra, Klomp Dennis W J, Boer Vincent O, Wijnen Jannie P, Wiegers Evita C Jul 2022, In: Magnetic Resonance in Medicine. 88 , p. 71-82 12 p.

Residual quadrupolar couplings observed in 7 Tesla deuterium MR spectra of skeletal muscle

Gursan Ayhan, Froeling Martijn, Hendriks Arjan D., Welting Dimitri, Kentgens Arno P.M., Klomp Dennis W.J., Prompers Jeanine J. Mar 2022, In: Magnetic Resonance in Medicine. 87 , p. 1165-1173 9 p.

RF Coil Setup for P-31 MRSI in Tongue Cancer in vivo at 7 T

Forner Ria, Nam Kyungmin, de Koning Klijs J., van der Velden Tijl, van der Kemp Wybe, Raaijmakers Alexander, Klomp Dennis W.J. 2 Nov 2021, In: Frontiers in Neurology. 12 , p. 1-11

A local multi-transmit coil combined with a high-density receive array for cerebellar fMRI at 7 T

Priovoulos Nikos, Roos Thomas, Ipek Özlem, Meliado Ettore F, Nkrumah Richard O, Klomp Dennis W J, van der Zwaag Wietske Nov 2021, In: NMR in Biomedicine. 34 , p. 1-13

Potential Reduction of Peripheral Local SAR for a Birdcage Body Coil at 3 Tesla Using a Magnetic Shield

van Leeuwen C. C., Steensma B. R., Glybovski S. B., Lunenburg M. F.J., Simovski C., Klomp D. W.J., van den Berg C. A.T., Raaijmakers A. J.E. 8 Oct 2021, In: FRONTIERS IN PHYSICS. 9

Comparison of 2-Hydroxyglutarate Detection With sLASER and MEGA-sLASER at 7T

Shams Zahra, van der Kemp Wybe J M, Emir Uzay, Dankbaar Jan Willem, Snijders Tom J, de Vos Filip Y F, Klomp Dennis W J, Wijnen Jannie P, Wiegers Evita C 7 Sep 2021, In: Frontiers in Neurology. 12 , p. 1-10

SAR and temperature distributions in a database of realistic human models for 7 T cardiac imaging

Steensma Bart R., Meliado Ettore F., Luijten Peter, Klomp Dennis W. J., van den Berg Cornelis A. T., Raaijmakers Alexander J. E. Jul 2021, In: NMR in Biomedicine. 34 , p. 1-14

Evaluation of the radiofrequency performance of a wide-bore 1.5 T positron emission tomography/magnetic resonance imaging body coil for radiotherapy planning

Branderhorst Woutjan, Steensma Bart R., Beijst Casper, Huijing Erik R., Alborahal Cezar, Versteeg Edwin, Weissler Bjoern, Schug David, Gebhardt Pierre, Gross-Weege Nicolas, Mueller Florian, Krueger Karl, Dey Thomas, Radermacher Harald, Lips Oliver, Lagendijk Jan, Schulz Volkmar, de Jong Hugo W.A.M., Klomp Dennis W.J. Apr 2021, In: Physics and Imaging in Radiation Oncology. 17 , p. 13-19 7 p.

PCA denoising and Wiener deconvolution of <sup>31</sup>P 3D CSI data to enhance effective SNR and improve point spread function

Froeling Martijn, Prompers Jeanine J, Klomp Dennis W J, van der Velden Tijl A 1 Feb 2021, In: Magnetic Resonance in Medicine. 85 , p. 2992-3009 18 p.

All research output

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