Abstract #3959

Self-Calibrated Subspace Reconstruction using Temporally Local Matrix Completion for Multidimensional MR Fingerprinting

Zhilang Qiu¹, Siyuan Hu¹, Walter Zhao¹, Ken Sakaie², Mark A. Griswold³, Derek K. Jones⁴, and Dan Ma¹

¹Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ²Imaging Institute, Cleveland Clinic, Cleveland, OH, United States, ³Radiology, Case Western Reserve University, Cleveland, OH, United States, ⁴Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom

Synopsis

Keywords: Image Reconstruction, Diffusion/other diffusion imaging techniquesWe propose a new reconstruction method, named self-calibrated subspace reconstruction, for multidimensional MR fingerprinting (mdMRF), in order to correct the artifacts due to inter-shot (segment) magnitude and phase variations, without the need for extra navigator or calibration data. Different options for utilizing the low-rank property and the signal structure of mdMRF data are investigated and the optimal scheme is determined. Such that aliasing-free high-resolution image reconstruction and high-quality quantification, can be achieved.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.