title: Motion correction based reconstruction method for compressively sampled cardiac MR imaging.
abstract: Respiratory motion during Magnetic Resonance (MR) acquisition causes strong blurring artifacts in the reconstructed images. These artifacts become more pronounced when used with the fast imaging reconstruction techniques like compressed sensing (CS). Recently, an MR reconstruction technique has been done with the help of compressed sensing (CS), to provide good quality sparse images from the highly under-sampled k-space data. In order to maximize the benefits of CS, it is obvious to use CS with the motion corrected samples. In this paper, we propose a novel CS based motion corrected image reconstruction technique. First, k-space data have been assigned to different respiratory state with the help of frequency domain phase correlation method. Then, multiple sparsity constraints has been used to provide good quality reconstructed cardiac cine images with the highly under-sampled k-space data. The proposed method exploits the multiple sparsity constraints, in combination with demon based registration technique and a novel reconstruction technique to provide the final motion free images. The proposed method is very simple to implement in clinical settings as compared to existing motion corrected methods. The performance of the proposed method is examined using simulated data and clinical data. Results show that this method performs better than the reconstruction of CS based method of cardiac cine images. Different acceleration rates have been used to show the performance of the proposed method.
authors.affiliation: Department of Electrical Engineering, Air University Islamabad, Pakistan. Electronic address: haseeb@mail.au.edu.pk.
authors.forename: Abdul Haseeb
authors.initials: AH
authors.lastname: Ahmed
authors.affiliation: Department of Electrical Engineering, Air University Islamabad, Pakistan.
authors.forename: Ijaz M
authors.initials: IM
authors.lastname: Qureshi
authors.affiliation: Department of Electronic Engineering, Faculty of Engineering & Technology International Islamic University, Islamabad, Pakistan.
authors.forename: Jawad Ali
authors.initials: JA
authors.lastname: Shah
authors.affiliation: Department of Electrical Engineering, Air University Islamabad, Pakistan.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Zaheer
mesh_terms: D000465:Algorithms; D016477:Artifacts; D003198:Computer Simulation; D006321:Heart / Q000000981:diagnostic imaging* / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009038:Motion
keywords: Cardiac cine MRI; Compressed sensing; Motion correction; Non-rigid motion; Under-sampling