1. SNR-weighted regularization of ADC estimates from double-echo in steady-state (DESS)
- Author
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Garry E. Gold, Daehyun Yoon, Brian A. Hargreaves, and Bragi Sveinsson
- Subjects
Physics::Medical Physics ,Signal-To-Noise Ratio ,Regularization (mathematics) ,Article ,Standard deviation ,Imaging phantom ,030218 nuclear medicine & medical imaging ,Computer Science::Hardware Architecture ,03 medical and health sciences ,0302 clinical medicine ,Image Interpretation, Computer-Assisted ,Osteoarthritis ,Image Processing, Computer-Assisted ,Humans ,Effective diffusion coefficient ,Computer Simulation ,Radiology, Nuclear Medicine and imaging ,Femur ,Hardware_ARITHMETICANDLOGICSTRUCTURES ,Mathematics ,Echo-Planar Imaging ,Phantoms, Imaging ,Homogeneity (statistics) ,Reproducibility of Results ,equipment and supplies ,Short t2 ,Healthy Volunteers ,body regions ,Cartilage ,Diffusion Magnetic Resonance Imaging ,Linear approximation ,Monte Carlo Method ,Algorithm ,Algorithms ,030217 neurology & neurosurgery - Abstract
PURPOSE: To improve the homogeneity and consistency of Apparent Diffusion Coefficient (ADC) estimates in cartilage from the Double-Echo in Steady-State (DESS) sequence by applying SNR-weighted regularization during post-processing. MATERIALS AND METHODS: An estimation method that linearizes ADC estimates from DESS is used in conjunction with a smoothness constraint to suppress noise-induced variation in ADC estimates. Simulations, phantom scans, and in vivo scans are used to demonstrate how the method reduces ADC variability. Conventional Diffusion Weighted Echo Planar Imaging (DW EPI) maps are acquired for comparison of mean and standard deviation of the ADC estimate. RESULTS: Simulations and phantom scans demonstrated that the SNR-weighted regularization can produce homogenous ADC maps at varying levels of SNR, while non-regularized maps only estimate ADC accurately at high SNR levels. The in vivo maps showed that the SNR-weighted regularization produced ADC maps with similar heterogeneity to maps produced with standard DW EPI, but without the distortion of such reference scans. CONCLUSION: A linear approximation of a simplified model of the relationship between DESS signals allows for fast SNR-weighted regularization of ADC maps that reduces estimation error in relatively short T(2) tissue such as cartilage.
- Published
- 2018
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