Title Flow Artifact Removal in Carotid Wall Imaging Based on Black and Gray-Blood Dual-Contrast Images Subtraction
Authors Li, Hao
Li, Bo
Huang, Wenjian
Dong, Li
Zhang, Jue
Affiliation Peking Univ, Acad Adv Interdisciplinary Studies, Beijing, Peoples R China.
Peking Univ, Coll Engn, Yiheyuan Rd 5, Beijing 100871, Peoples R China.
Capital Med Univ, Beijing Anzhen Hosp, Dept Radiol, Beijing, Peoples R China.
Keywords blood signal suppression
flow artifact removal
black blood
DCIS
carotid MRI
vessel wall imaging
MAGNETIC-RESONANCE
PLAQUE
MRI
SUPPRESSION
SEQUENCE
Issue Date 2017
Publisher MAGNETIC RESONANCE IN MEDICINE
Citation MAGNETIC RESONANCE IN MEDICINE.2017,77(4),1612-1618.
Abstract Purpose: To develop and validate a dual-contrast image subtraction (DCIS) strategy for eliminating the flow artifacts in black-blood carotid MRI. Methods: Twelve patients with carotid stenosis and eight healthy volunteers were imaged using the black and grayblood dual-contrast imaging based on the relaxationenhanced compressed sensing three-dimensional motion-sensitizing driven equilibrium prepared rapid-gradient-echo (RECS-3D MERGE) sequence. Subtraction of black-blood images (BBIs) and gray-blood images (GBIs), together with a preweighting procedure, was performed to eliminate the residual blood signal in BBIs. A wavelet denoising procedure was applied to offset the noise amplification. In addition to the lumen signal-to-noise ratio (SNR) and wall-lumen contrast-tonoise ratio (CNR), the signal variance ratio (SVR) and contrast variance ratio (CVR) were also used to evaluate the blood suppression efficiency. Results: By choosing the weighting factor of one, the lumen SNR of DCIS images was approximately 1% of that of the original BBIs, and the CNR showed a 91.4% improvement as compared with the BBIs. The median of the lumen SVR decreased to zero, and the CVR increased to 123% of that of the BBIs. Conclusions: DCIS is demonstrated to be an effective strategy for sufficiently removing the residual flow signal from black-blood carotid MRI. (C) 2016 International Society for Magnetic Resonance in Medicine
URI http://hdl.handle.net/20.500.11897/434362
ISSN 0740-3194
DOI 10.1002/mrm.26218
Indexed SCI(E)
PubMed
Appears in Collections: 前沿交叉学科研究院
工学院

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