TDS-B1: Magnitude and Polarization Measurement in MRI Coil
Our latest video demonstrates ZMT's TDS-B1 to measure the polarization of the MITS3.0 birdcage resonator quickly and precisely. Two orthogonal time domain sensor (TDS) probes from our Z43 partner company SPEAG convert the incident radiofrequency magnetic field signals from the MITS to an optical signal, which is fiber-optically transmitted and opto-electrically converted by the remote units, captured by an oscilloscope, and transmitted to the computer where the polarization is computed and displayed. The full pulse train can also be seen in the time-domain view.
The TDS magnetic field probes can be used in free space or in loaded phantoms to measure the incident fields accurately in frequency or time domain, and they can operate inside harsh electromagnetic environments such as during magnetic resonance imaging scans.
Check out the video here and let us know if you have any feedback or are interested in learning more about the TDS-B1!
The first non-European computational anatomical model and member of the Virtual Population (ViP), Yoon-sun cV3.1, has been released. The new phantom includes detailed organs, vessel trees, and peripheral nerves.
ZMT's President of the Board Niels Kuster presented keynote lectures on “EM Evaluation and Optimization of IoT Systems: Standards, Software and Instrumentations” and “Workflow for Demonstration of Compliance of Transmitters Operating above 10 GHz” at a symposium on IoT co-organized by the AUDEN Group and the IEEE EMC Chapter in Taipei on July 4, 2018. Habib Bousleiman, ZMT's Head of MRI Applications, also presented two talks on “Novel Tools for Electroceuticals” and “New Potential for Hyperthermia: The European Perspective".
On June 20, 2018, ZMT welcomed about 100 medical implant manufacturers, MRI vendors, and key opinion leaders from academia and governmental agencies at the annual ISMRM Sim4Life User Workshop 2018 in Paris, France. The workshop provided a closer look into how industry and research envision the future of in silica MRI and how advanced numerical modeling will help to master new challenges.