Seznam

Téma:Optimal MRI acquisition times for brain tissue segmentation from signal relaxation curve
Vedoucí:Prof. Dr. Ing. Jan Kybic
Vypsáno jako:Diplomová práce,Bakalářská práce,Individuální projekt
Popis:In MRI, The T1 relaxation time of brain tissue can be measured separately in each voxel
from the signal recovery after saturation measured at multiple times. This
information can be used to provide brain segmentation with good accuracy
without using any prior knowledge about brain topology.
What has not been studied yet is the optimal settings of the acquisition
times. The influence of more dense sampling and/or presence of noise in the
data on the accuracy and systematic error of the segmentation needs to be
evaluated.
The obtained segmentation will be used for correcting partial volume effect
in perfusion MRI measurement.
The real data will be provided by the Helmholtz-Zentrum Dresden Rossendorf.
[In collaboration with Mgr. Jan Petr, Ph.D.]
Pokyny: Learn the basic principles of MR imaging and study the algorithm for
brain segmentation from T1 signal recovery.
 Design a simulated experiment and analyze influence of noise and sampling
pattern on accuracy and systematic errors in the segmentation.
 Test the ideal sampling pattern on real data.
 Optional. Demonstrate improvement of the ideal sampling in application
on perfusion MRI.
Literatura: Bernstein, King, Zhou: Handbook of MRI pulse sequences.  McRobbie, Moore, Graves, Prince: MRI From picture to proton.  W. Shin, X. Geng, H. Gu, W. Zhan, Q. Zou, and Y. Yang, “Automated brain tissue segmentation based on fractional signal mapping from inver- sion recovery Look-Locker acquisition.,” NeuroImage, vol. 52, no. 4, pp. 1347–54, Oct. 2010.
Realizace:Code in Matlab. Results of the experiment.
Vypsáno dne:24.09.2012