De-aliasing for signal restoration in Propeller MR imaging |
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| Affiliation: | 1. Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan;2. Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong;3. Brain Imaging and Analysis Center, Duke University Medical Center, Durham, North Carolina, USA;4. Graduate Institute of Medical Informatics, National Cheng-Kung University, Tainan, Taiwan;5. Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan;1. Department of Radiology, Memorial Sloan Kettering Cancer Center;2. Department of Medical Physics, Memorial Sloan Kettering Cancer Center;3. Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center;4. Brain Tumor Center, Memorial Sloan Kettering Cancer Center;5. Department of Diagnostics, Imaging and Biomedical Technologies, GE Global Research;1. ParIMéd/LRPE, FEI, USTHB, BP 32 El Alia, Bab Ezzouar, 16111, Algiers, Algeria;2. PRISME Laboratory, University of Orléans, 12 Rue de Blois, 45067 Orléans, France;1. Computer Imaging and Medical Applications Laboratory – CIM@LAB, Universidad Nacional de Colombia, Bogotá, Colombia;2. Universidad Militar Nueva Granada, Bogotá, Colombia;3. Departamento de Ingeniería de Sistemas, Pontificia Universidad Javeriana, Bogotá, Colombia;4. Departamento de Física Matemática y de Fluidos, Universidad Nacional de Educación a Distancia, Madrid, Spain;1. Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China;2. Department of Radiology, Affiliated Hospital of Xuzhou Medical College, Xuzhou, P.R. China;3. Department of Radiology, The Third Hospital of Xuzhou City, Xuzhou, P.R. China |
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| Abstract: | PurposeObjects falling outside of the true elliptical field-of-view (FOV) in Propeller imaging show unique aliasing artifacts. This study proposes a de-aliasing approach to restore the signal intensities in Propeller images without extra data acquisition.Materials and methodsComputer simulation was performed on the Shepp-Logan head phantom deliberately placed obliquely to examine the signal aliasing. In addition, phantom and human imaging experiments were performed using Propeller imaging with various readouts on a 3.0 Tesla MR scanner. De-aliasing using the proposed method was then performed, with the first low-resolution single-blade image used to find out the aliasing patterns in all the single-blade images, followed by standard Propeller reconstruction. The Propeller images without and with de-aliasing were compared.ResultsComputer simulations showed signal loss at the image corners along with aliasing artifacts distributed along directions corresponding to the rotational blades, consistent with clinical observations. The proposed de-aliasing operation successfully restored the correct images in both phantom and human experiments.ConclusionThe de-aliasing operation is an effective adjunct to Propeller MR image reconstruction for retrospective restoration of aliased signals. |
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