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Compressed sensing in hyperpolarized^3^He Lung MRI by Salma Ajraoui; Kuan J. Lee; Martin H. Deppe; Steven R. Parnell; Juan Parra-Robles; Jim M. Wild is a scholarly article available to read on EtoBox.

What is Compressed sensing in hyperpolarized^3^He Lung MRI about?

In this work, the application of compressed sensing techniques to the acquisition and reconstruction of hyperpolarized 3 He lung MR images was investigated. The sparsity of 3 He lung images in the wavelet domain was investigated through simulations based on fully sampled Cartesian two-dimensional and three-dimensional 3 He lung ventilation images, and the kspaces of 2D and 3D images were undersampled randomly and reconstructed by minimizing the L1 norm. The simulation results show that temporal resolution can be readily improved by a factor of 2 for two-dimensional and 4 to 5 for three-dimensional ventilation imaging with 3 He with the levels of signal to noise ratio (SNR) (~19) typically obtained. The feasibility of producing accurate functional apparent diffusion coefficient (ADC) maps from undersampled data acquired with fewer radiofrequency pulses was also demonstrated, with the preservation of quantitative information (mean ADC cs ~mean ADC full ~0.16 cm 2 sec 21 ). Prospective acquisition of 2-fold undersampled two-dimensional 3 He images with a compressed sensing kspace pattern was then demonstrated in a healthy volunteer, and the results were compared to the equivalent full

Author

Salma Ajraoui; Kuan J. Lee; Martin H. Deppe; Steven R. Parnell; Juan Parra-Robles; Jim M. Wild

Publisher

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

Published

2010

Language

EN