Abstract #1464
T 2 ' relaxometry of the human lung at 1.5 and 3 Tesla
Jascha Zapp 1 , Sebastian Domsch 1 , and Lothar R. Schad 1
1
Computer Assisted Clinical Medicine,
Heidelberg University, Mannheim, Germany
The transverse relaxation time is currently under
investigation as a promising parameter for diagnosis of
lung diseases. The aim of this work is to increase the
precision of relaxation time measurements using a PRESS
sequence. We obtained measurements with PRESS focusing
on the temporal sampling of pulmonary relaxation and
compared the commonly used linear exponential model for
relaxation with a Gaussian model. The latter
significantly reduces the relative error in relaxation
time by a factor of 3 on average in the human lung.
Hence, the Gaussian relaxation time is a promising
parameter for investigations of lung diseases with
increased precision.
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