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Reduction of Motion Artifacts in the Recovery of Undersampled DCE MR Images Using Data Binning and L+S Decomposition
Joint Authors
Qureshi, Ijaz Mansoor
Bilal, Muhammad
Anis, Haris
Khan, Najeeb
Shah, Jawad
Kadir, Kushsairy A.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Background.
Motion is a major source of blurring and ghosting in recovered MR images.
It is more challenging in Dynamic Contrast Enhancement (DCE) MRI because motion effects and rapid intensity changes in contrast agent are difficult to distinguish from each other.
Material and Methods.
In this study, we have introduced a new technique to reduce the motion artifacts, based on data binning and low rank plus sparse (L+S) reconstruction method for DCE MRI.
For Data binning, radial k-space data is acquired continuously using the golden-angle radial sampling pattern and grouped into various motion states or bins.
The respiratory signal for binning is extracted directly from radially acquired k-space data.
A compressed sensing- (CS-) based L+S matrix decomposition model is then used to reconstruct motion sorted DCE MR images.
Undersampled free breathing 3D liver and abdominal DCE MR data sets are used to validate the proposed technique.
Results.
The performance of the technique is compared with conventional L+S decomposition qualitatively along with the image sharpness and structural similarity index.
Recovered images are visually sharper and have better similarity with reference images.
Conclusion.
L+S decomposition provides improved MR images with data binning as preprocessing step in free breathing scenario.
Data binning resolves the respiratory motion by dividing different respiratory positions in multiple bins.
It also differentiates the respiratory motion and contrast agent (CA) variations.
MR images recovered for each bin are better as compared to the method without data binning.
American Psychological Association (APA)
Bilal, Muhammad& Anis, Haris& Khan, Najeeb& Qureshi, Ijaz Mansoor& Shah, Jawad& Kadir, Kushsairy A.. 2019. Reduction of Motion Artifacts in the Recovery of Undersampled DCE MR Images Using Data Binning and L+S Decomposition. BioMed Research International،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1126491
Modern Language Association (MLA)
Bilal, Muhammad…[et al.]. Reduction of Motion Artifacts in the Recovery of Undersampled DCE MR Images Using Data Binning and L+S Decomposition. BioMed Research International No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1126491
American Medical Association (AMA)
Bilal, Muhammad& Anis, Haris& Khan, Najeeb& Qureshi, Ijaz Mansoor& Shah, Jawad& Kadir, Kushsairy A.. Reduction of Motion Artifacts in the Recovery of Undersampled DCE MR Images Using Data Binning and L+S Decomposition. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1126491
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126491