Title :
T/sub 1/ fast acquisition relaxation mapping (T/sub 1/-FARM): an optimized reconstruction
Author :
Chen, Zuoqun ; Prato, Frank S. ; McKenzie, Charles
Author_Institution :
Dept. of Nucl. Med. & Magnetic Resonance, St. Josephs Health Centre, London, Ont., Canada
fDate :
4/1/1998 12:00:00 AM
Abstract :
Maps of spin lattice relaxation time (T 1) can be reconstructed directly from magnetic resonance imaging (MRI) k-space data measured with very short data acquisition times, e.g., a data set for a 128×128 T 1 map can be acquired in less than 3 s using gradients with 10-T/m/s slew rate. In principle, this approach could be extended to quantitate other MRI parameters but current use is limited by the lack of precise, accurate and fast reconstruction. Using theoretical calculations, computer simulations, and experiments the authors have optimized a parametric reconstruction method using a Leverberg-Marquardt (L-M) algorithm and compared it to the quasi-Newton method originally used. The authors have found significant improvement using the L-M method provided T 1 is solved for directly without linearization. Reconstruction time was reduced by a factor of 60. Computer simulations show that the method has acceptable accuracy even in signals with 5% noise. Optimization included the investigation of the signal-to-noise (S/N) of each k-space data point and its impact on relative error of the reconstruction. This result indicates that rectangular L-space data could be collected for further reduction of data acquisition times. Determination of T 1 maps by direct parametric reconstruction of k-space data appears feasible and may stimulate further application of quantitative MRI.
Keywords :
biomedical NMR; image reconstruction; medical image processing; nuclear spin-lattice relaxation; 3 s; Leverberg-Marquardt algorithm; MRI; T/sub 1/ fast acquisition relaxation mapping; computer simulations; k-space data; magnetic resonance imaging; medical diagnostic imaging; optimized reconstruction; parametric reconstruction method; quasiNewton method; reconstruction relative error; reconstruction time; Computer errors; Computer simulation; Data acquisition; Image reconstruction; Magnetic resonance; Magnetic resonance imaging; Nuclear medicine; Optimization methods; Reconstruction algorithms; Time measurement; Algorithms; Artifacts; Brain; Computer Simulation; Feasibility Studies; Humans; Image Processing, Computer-Assisted; Least-Squares Analysis; Magnetic Resonance Imaging; Models, Theoretical; Phantoms, Imaging; Time Factors;
Journal_Title :
Medical Imaging, IEEE Transactions on