Abstract #1208
Accelerating T1-rho Cartilage Imaging Using k-t ISD with Locally-Adapted Thresholding and JSENSE
Yihang Zhou 1 , Valentina Pedoia 2 , Julien Rivoire 2 , Yanhua Wang 1 , Dong Liang 3 , Xiaojuan Li 2 , and Leslie Ying 1
1
Department of Biomedical Engineering,
Department of Electrical Engineering, The State
University of New York at Buffalo, Buffalo, NY, United
States,
2
Department
of Radiology and Biomedical Imaging, University of
California at San Francisco, San Francisco, CA, United
States,
3
Shenzhen
Institutes of Advanced Technology, Chinese Academy of
Sciences, Shenzhen, Guangdong, China
In this study, the feasibility of combining compressed
sensing (CS) with parallel MRI (pMRI) in accelerating
the T1ρ cartilage imaging is investigated. K-t ISD with
locally-adapted thresholding, named k-t LISD, combined
with JSESNE is used to reconstruct the image sequence
from undersampled data in (k, t) space. The
reconstruction process alternates iteratively between
k-t LISD for reconstruction of the image sequence and
JSENSE for sensitivity estimation. Result on in-vivo
human knee experiment shows the T1ρ quantification from
the accelerated acquisition using the proposed method is
consistent with that from full acquisition in all
cartilage compartments.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
