Feasibility of high temporal resolution breast DCE-MRI using compressed sensing theory.
OBJECTIVE
To investigate the feasibility of high temporal resolution breast DCE-MRI using compressed sensing theory.


METHODS
Two experiments were designed to investigate the feasibility of using reference image based compressed sensing (RICS) technique in DCE-MRI of the breast. The first experiment examined the capability of RICS to faithfully reconstruct uptake curves using undersampled data sets extracted from fully sampled clinical breast DCE-MRI data. An average approach and an approach using motion estimation and motion compensation (ME/MC) were implemented to obtain reference images and to evaluate their efficacy in reducing motion related effects. The second experiment, an in vitro phantom study, tested the feasibility of RICS for improving temporal resolution without degrading the spatial resolution.


RESULTS
For the uptake-curve reconstruction experiment, there was a high correlation between uptake curves reconstructed from fully sampled data by Fourier transform and from undersampled data by RICS, indicating high similarity between them. The mean Pearson correlation coefficients for RICS with the ME/MC approach and RICS with the average approach were 0.977 +/- 0.023 and 0.953 +/- 0.031, respectively. The comparisons of final reconstruction results between RICS with the average approach and RICS with the ME/MC approach suggested that the latter was superior to the former in reducing motion related effects. For the in vitro experiment, compared to the fully sampled method, RICS improved the temporal resolution by an acceleration factor of 10 without degrading the spatial resolution.


CONCLUSIONS
The preliminary study demonstrates the feasibility of RICS for faithfully reconstructing uptake curves and improving temporal resolution of breast DCE-MRI without degrading the spatial resolution.
Beijing City Key Laboratory of Medical Physics and Engineering, Peking University, Beijing 100871, China.
Haoyu
H
Wang
Yanwei
Y
Miao
Kun
K
Zhou
Yanming
Y
Yu
Shanglian
S
Bao
Qiang
Q
He
Yongming
Y
Dai
Stephanie Y
SY
Xuan
Bisher
B
Tarabishy
Yongquan
Y
Ye
Jiani
J
Hu
D016477:Artifacts; D001940:Breast; D003287:Contrast Media; D005240:Feasibility Studies; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009068:Movement; D019047:Phantoms, Imaging; D013997:Time Factors
D003287:Contrast Media