High Field and Hybrid MR Imaging H. H. Quick

The research group High Field and Hybrid MR Imaging directed by Professor Harald H. Quick develops and evaluates new techniques and methods to broaden the spectrum of clinical applications of 7-Tesla ultrahigh-field magnetic resonance imaging (7T UHF MRI). Specifically, new multi-channel radiofrequency (RF) transmit/receive for 7T neuro and body MR imaging are simulated, designed, and evaluated. The ultimate aim is to assess the high signal-to-noise-ratio (SNR) inherent to UHF-MRI and to apply this to high resolution imaging in various diagnostic applications. The research groups of Prof. Harald Quick and Prof. Mark Ladd (DKFZ, Heidelberg) work in close cooperation to achieve this aim. Further active collaborations in the field of RF coil development exist with technical development partners in RF Technology Engineering (Prof. Klaus Solbach) and Electrical Engineering (Prof. Daniel Erni) of the University of Duisburg-Essen and with various clinical users of 7T UHF MRI from the University Hospital Essen. Field strength comparison studies serve to evaluate the clinical advantages and disadvantages of 7T UHF MRI when compared to 1.5T and 3T MRI. A further research focus is on safety aspects when imaging patients with passive and active implants.

Current research topics of Prof. Quick’s group in 7-Tesla ultrahigh-field MRI are the following.

Development, evaluation, and clinical application of:

  • methods and techniques for 7-Tesla UHF-MRI
  • applications for 7-Tesla UHF-MRI in body and cardiavascular imaging
  • multichannel radiofrequency (RF) transmit/receive coils and RF components
  • concepts for B1 signal homogenization
  • safety concepts for UHF-MRI of passive and active implants
  • comparison studies between 1.5-, 3- and 7-Tesla UHF-MRI
quick_pic1.pngRadiofrequency (RF) antenna for 7-Tesla UHF-MRI (A-C) and clinical application in oncologic MR imaging (D,E). Simulated RF transmit/receive element (A) and configuration as 8/32-channel RF transmit/receive coil for body imaging (B,C). Panel (D) exemplarily shows a 3-Tesla MR image of a 55-year-old female patient with cervical cancer tumor (arrow). The 7-Tesla MR image of the pelvis in direct comparison (E) shows markedly improved spatial resolution and improved image contrast.
« Back to PI group overview
This group on the team page »