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IEEE transactions on bio-medical engineering v.64 no.2, 2017년, pp.274 - 283   SCI SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Image Reconstruction for a Rotating Radiofrequency Coil (RRFC) Using Self-Calibrated Sensitivity From Radial Sampling

Jin, Jin (School of Information Technology and Electrical EngineeringUniversity of Queensland ); Weber, Ewald ( Centre for Advanced ImagingUniversity of Queensland ); Tesiram, Yasvir ( Bruker BioSpin MRI GmbH ); Hugger, Thimo ( School of Information Technology and Electrical EngineeringUniversity of Queensland ); Li, Mingyan ( School of Information Technology and Electrical EngineeringUniversity of Queensland ); Fuentes, Miguel ( Bruker BioSpin MRI GmbH ); Ullmann, Peter ( Bruker BioSpin MRI GmbH ); Stark, Simon ( Bruker BioSpin MRI GmbH ); Junge, Sven ( School of Information Technology and Electrical EngineeringUniversity of Queensland ); Liu, Feng ( School of Information Technology and Electrical EngineeringUniversity of Queensland ); Crozier, Stuart ( );
  • 초록  

    The purpose of this study was to develop a practical magnetic resonance imaging (MRI) scheme for the latest rotating radiofrequency coil (RRFC) design at 9.4 T. The new prototype RRFC was integrated with an optical sensor to facilitate recording of its angular positions relative to the sequence timing. In imaging, the RRFC was used together with radial k-space trajectories. To recover the image, the radial spokes were grouped according to the coil locations. Using an Eigen-decomposition approach, an array of location-dependent sensitivity maps was extracted from the central regions of the segmented k-space, enabling parallel-imaging techniques for image recovery in a straightforward manner. When the RRFC angular velocity is carefully designed and accurately controlled according to the sequence timing, the encoding by means of varying RRFC sensitivity maps can be accurately calibrated for a faithful image recovery. Approximations were made to counteract the variations of the RRFC angular velocity, providing successful image reconstruction at 9.4 T. The current study demonstrated a new and practical imaging scheme for RRFC-MRI. It is able to extract the temporally varying sensitivity maps retrospectively from the k-space acquisition itself, without resorting to electromagnetic simulation or numerical interpolation. The proposed imaging scheme and the supporting engineering solutions of the RRFC prototype enable accurate image reconstructions. These new developments pave the way for routine applications of the RRFC, and bode well for its further development in providing simultaneous multinuclear imaging by incorporating, for example, independent X-nuclear coil elements into the rotating structure.


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