DocumentCode
3405546
Title
Three-pool model vs. nonnegative least squares algorithm for myelin water quantification
Author
Hyunjin Chung ; Yoonho Nam ; Donghyun Kim ; Dosik Hwang
Author_Institution
Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear
2011
fDate
7-10 Aug. 2011
Firstpage
1
Lastpage
4
Abstract
In this paper, comparison of two T2 based analysis technique for measurements of myelin content, regularized non-negative least squares (rNNLS) algorithm and three-pool modeling method, have been presented. Simulation and in vivo experiments were performed for the comparison of the two techniques. For fair comparison, both discretely and continuously distributed T2 spectrum were considered in the simulations. The simulation and in vivo experiments have been demonstrated that three-pool model is more appropriate method for robust myelin water quantification.
Keywords
biomedical MRI; least squares approximations; neurophysiology; myelin water quantification; regularized non-negative least squares algorithm; three-pool model; Artificial neural networks; Educational institutions; Estimation; Fires; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (MWSCAS), 2011 IEEE 54th International Midwest Symposium on
Conference_Location
Seoul
ISSN
1548-3746
Print_ISBN
978-1-61284-856-3
Electronic_ISBN
1548-3746
Type
conf
DOI
10.1109/MWSCAS.2011.6026476
Filename
6026476
Link To Document