Division of Medical Physics in Radiology
Prof. Dr. sc. techn. Mark E. Ladd
The Division of Medical Physics in Radiology plays a pivotal role in developing new and optimizing existing methods for all imaging-based diagnostic and therapeutic procedures. To improve and individualize cancer patient treatment, the acquisition of quantitative biomedical information about tumors and metastases is essential. For example, we are expanding the diagnostic value of magnetic resonance imaging (MRI) by using a very powerful magnetic field (7 Tesla) to depict the distribution of sodium, oxygen, and even potassium and chlorine in vivo. By optimizing MRI diffusion techniques, we have been able to greatly improve the diagnostic accuracy of breast cancer screening. We are also developing Computed Tomography (CT) techniques that allow dramatic reductions in radiation dose; it may become feasible in the future to utilize the three-dimensional information of CT to guide minimally-invasive interventions. Furthermore, new targeted contrast agent designs are being pursued to which different imaging tags can be attached; this approach permits the use of multiple imaging techniques (MRI, CT, Positron Emission Tomography (PET), optical imaging) to monitor molecular processes and detect metastases in vivo, even at the micromorphologic level.
The Division is working to expand its role as a center of excellence in oncologic imaging methodology. In collaboration with clinical divisions, novel acquisition and reconstruction strategies for multiple imaging modalities are being translated into standard patient use. This includes state-of-the-art imaging protocols at the MR imagers located at the National Center for Tumor Diseases (NCT). Emerging MR imaging contrasts include Sodium and Chemical Exchange Saturation Transfer (CEST) imaging, as well as Quantitative Susceptibility Imaging. At 7 Tesla MRI, we have begun a concerted program focused on improving the characterization of prostate cancer. Construction of the new Radiological Research and Development Center (REZ) is proceeding apace, and we look forward to the new research possibilities that this facility will provide to us.
Bickelhaupt, S., Laun, F., et al. (2016). Fast and noninvasive characterization of suspicious lesions detected at breast cancer X-ray screening: capability of diffusion-weighted MR imaging with MIPs. Radiology, 278, 689-697.
Faby, S., et al. (2015). Performance of today's dual energy CT and future multi energy CT in virtual non-contrast imaging and in iodine quantification: a simulation study. Medical Physics, 42, 4349-4366.
Goerke, S., et al. (2015). Signature of protein unfolding in chemical exchange saturation transfer imaging. NMR in Biomedicine, 28, 906-913.
Niesporek, S.C., et al. (2015). Partial volume correction for in vivo (23)Na-MRI data of the human brain. Neuroimage, 112, 353-363.