@phdthesis{Carinci2017,
  author    = {Carinci, Flavio},
  title     = {Quantitative Characterization of Lung Tissue Using Proton MRI},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151189},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2017},
  abstract  = {The focus of the work concerned the development of a series of MRI techniques that were specifically designed and optimized to obtain quantitative and spatially resolved information about characteristic parameters of the lung. Three image acquisition techniques were developed. Each of them allows to quantify a different parameter of relevant diagnostic interest for the lung, as further described below: 1) The blood volume fraction, which represents the amount of lung water in the intravascular compartment expressed as a fraction of the total lung water. This parameter is related to lung perfusion. 2) The magnetization relaxation time T\(_2\) und T� *\(_2\) , which represents the component of T\(_2\) associated with the diffusion of water molecules through the internal magnetic field gradients of the lung. Because the amplitude of these internal gradients is related to the alveolar size, T\(_2\) und T� *\(_2\) can be used to obtain information about the microstructure of the lung. 3) The broadening of the NMR spectral line of the lung. This parameter depends on lung inflation and on the concentration of oxygen in the alveoli. For this reason, the spectral line broadening can be regarded as a fingerprint for lung inflation; furthermore, in combination with oxygen enhancement, it provides a measure for lung ventilation.},
  subject      = {Kernspintomografie},
  language  = {en}
}