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Optimization of fast spiral chemical shift imaging using least squares reconstruction: Application for hyperpolarized ^13^C metabolic imaging by Y.S. Levin; D. Mayer; Y.‐F. Yen; R.E. Hurd; D.M. Spielman is a Medicine article available to read on EtoBox.

What is Optimization of fast spiral chemical shift imaging using least squares reconstruction: Application for hyperpolarized ^13^C metabolic imaging about?

## Abstract A least‐squares–based optimization and reconstruction algorithm has been developed for rapid metabolic imaging in the context of hyperpolarized ^13^C. The algorithm uses a priori knowledge of resonance frequencies, J‐coupling constants, and __T__~2~\* values to enable acquisition of high‐quality metabolic images with imaging times of approximately 100 ms for an 8‐cm field of view (FOV) and 0.5 cm isotropic resolution. A root‐mean‐square error (rMSE) analysis is introduced to optimize metabolic image quality by appropriate choice of pulse sequence parameters, echo times, and signal model. By performing the reconstruction in __k__‐space, the algorithm also allows the inclusion of the effect of chemical shift evolution during the readout period. Single‐interleaf multiecho spiral chemical shift imaging (spCSI) is analyzed in detail as an illustrative example for the use of the new reconstruction and optimization algorithm. Simulation of the in vivo spectrum following the bolus injection of hyperpolarized ^13^C~1~ pyruvate shows that single‐interleaf spiral spectroscopic imaging can achieve image quality in 100 ms, comparable to the performance of a 13‐s phase‐encoded chemic

Who reads Optimization of fast spiral chemical shift imaging using least squares reconstruction: Application for hyperpolarized ^13^C metabolic imaging?

Author

Y.S. Levin; D. Mayer; Y.‐F. Yen; R.E. Hurd; D.M. Spielman

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0740-3194)

Published

2007

Language

EN

Field

Medicine (Health Sciences)