@phdthesis{Schmitt2013,
  author    = {Schmitt, Peter},
  title     = {MR imaging of tumors: Approaches for functional and fast morphological characterization},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-135967},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {The subject of this work was to develop, implement, optimize and apply methods for quantitative MR imaging of tumors. In the context of functional and physiological characterization, this implied transferring techniques established in tumor model research to human subjects and assessing their feasibility for use in patients. In the context of the morphologic assessment and parameter imaging of tumors, novel concepts and techniques were developed, which facilitated the simultaneous quantification of multiple MR parameters, the generation of "synthetic" MR images with various contrasts, and the fast single-shot acquisition of purely T2-weighted images.},
  subject      = {Kernspintomografie},
  language  = {en}
}