O-space with high resolution readouts outperforms radial imaging |
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| Institution: | 1. Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT 06520, USA;2. Department of Neurosurgery, Yale University, New Haven, CT 06520, USA;1. Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China;2. Department of Medical Imaging, Renji Hospital, Medical School of Jiaotong University, No. 160, Pujian Road, Pudong District, Shanghai 200127, China;1. Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran;2. School of Cognitive Sciences, Institute for Research in Fundamental Sciences, 1954851167, Tehran, Iran;1. Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China;2. Institute of Neuroscience and Medicine-4, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany;3. MR Collaboration Northeast Asia, Siemens Healthcare, Shanghai, China;4. Department of Electronic Science, Xiamen University, Xiamen, China;5. Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China;6. Department of Imaging Sciences, University of Rochester, Rochester, USA;1. Dept of Radiology, University of Cambridge and Addenbrooke''s Hospital, Hills Rd, CB20QQ, England, United Kingdom;2. GE Healthcare, Amersham, HP7 9NA, United Kingdom;1. Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116024, China;2. Research Institute of Innovative Technology for the Earth, Kizugawa City, Kyoto 619-0292, Japan |
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| Abstract: | PurposeWhile O-Space imaging is well known to accelerate image acquisition beyond traditional Cartesian sampling, its advantages compared to undersampled radial imaging, the linear trajectory most akin to O-Space imaging, have not been detailed. In addition, previous studies have focused on ultrafast imaging with very high acceleration factors and relatively low resolution. The purpose of this work is to directly compare O-Space and radial imaging in their potential to deliver highly undersampled images of high resolution and minimal artifacts, as needed for diagnostic applications. We report that the greatest advantages to O-Space imaging are observed with extended data acquisition readouts.Theory and methodsA sampling strategy that uses high resolution readouts is presented and applied to compare the potential of radial and O-Space sequences to generate high resolution images at high undersampling factors. Simulations and phantom studies were performed to investigate whether use of extended readout windows in O-Space imaging would increase k-space sampling and improve image quality, compared to radial imaging.ResultsExperimental O-Space images acquired with high resolution readouts show fewer artifacts and greater sharpness than radial imaging with equivalent scan parameters. Radial images taken with longer readouts show stronger undersampling artifacts, which can cause small or subtle image features to disappear. These features are preserved in a comparable O-Space image.ConclusionsHigh resolution O-Space imaging yields highly undersampled images of high resolution and minimal artifacts. The additional nonlinear gradient field improves image quality beyond conventional radial imaging. |
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