Respiratory Motion Correction for Compressively Sampled Free Breathing Cardiac MRI Using Smooth l1-Norm Approximation
Joint Authors
Qureshi, Ijaz Mansoor
Bilal, Muhammad
Shah, Jawad
Kadir, Kushsairy A.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-23
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Transformed domain sparsity of Magnetic Resonance Imaging (MRI) has recently been used to reduce the acquisition time in conjunction with compressed sensing (CS) theory.
Respiratory motion during MR scan results in strong blurring and ghosting artifacts in recovered MR images.
To improve the quality of the recovered images, motion needs to be estimated and corrected.
In this article, a two-step approach is proposed for the recovery of cardiac MR images in the presence of free breathing motion.
In the first step, compressively sampled MR images are recovered by solving an optimization problem using gradient descent algorithm.
The L1-norm based regularizer, used in optimization problem, is approximated by a hyperbolic tangent function.
In the second step, a block matching algorithm, known as Adaptive Rood Pattern Search (ARPS), is exploited to estimate and correct respiratory motion among the recovered images.
The framework is tested for free breathing simulated and in vivo 2D cardiac cine MRI data.
Simulation results show improved structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), and mean square error (MSE) with different acceleration factors for the proposed method.
Experimental results also provide a comparison between k-t FOCUSS with MEMC and the proposed method.
American Psychological Association (APA)
Bilal, Muhammad& Shah, Jawad& Qureshi, Ijaz Mansoor& Kadir, Kushsairy A.. 2018. Respiratory Motion Correction for Compressively Sampled Free Breathing Cardiac MRI Using Smooth l1-Norm Approximation. International Journal of Biomedical Imaging،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1169514
Modern Language Association (MLA)
Bilal, Muhammad…[et al.]. Respiratory Motion Correction for Compressively Sampled Free Breathing Cardiac MRI Using Smooth l1-Norm Approximation. International Journal of Biomedical Imaging No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1169514
American Medical Association (AMA)
Bilal, Muhammad& Shah, Jawad& Qureshi, Ijaz Mansoor& Kadir, Kushsairy A.. Respiratory Motion Correction for Compressively Sampled Free Breathing Cardiac MRI Using Smooth l1-Norm Approximation. International Journal of Biomedical Imaging. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1169514
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169514