Testing the three-pool white matter model adapted for use with T2 relaxometry.
A three-pool model was used to improve white-matter T2 relaxometry in low signal-to-noise (SNR) data. To verify the model very high SNR T2 relaxometry experiments were performed on myelinated tissue samples and three-pool fractions were consistently found. Relaxation curves based on the in vitro results were simulated with multiple SNRs and fit using the three-pool model and three less constraining nonnegative least squares-based methods. All methods performed well with noiseless data. At lower SNR values the three-pool model was superior, primarily due to the fact that the other methods often could not unambiguously calculate pool fractions.
Andrews
Trevor
T
Research Imaging Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78284-6240, USA.
Lancaster
Jack L
JL
Dodd
Stephen J
SJ
Contreras-Sesvold
Carmen
C
Fox
Peter T
PT
D000465:Algorithms; D000818:Animals; D002417:Cattle; D003198:Computer Simulation; D066298:In Vitro Techniques; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009186:Myelin Sheath / Q000502:physiology*; D009900:Optic Nerve / Q000502:physiology*