Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here