- "Noise analysis for 3-point chemical shift-based water-fat separation with spectral modeling of fat"
Chebrolu VV, Yu H, Pineda AR, et al., Journal of Magnetic Resonance Imaging 32 (2): 493-500 Aug 2010. Model of the theoretical signal-to-noise ratio (SNR) behavior of 3-point chemical shift-based water-fat separation, using spectral modeling of fat, with experimental validation for spin-echo and gradient-echo imaging. The echo combination that achieves the best SNR performance for a given spectral model of fat was also investigated.
- "Independent estimation of T*2 for water and fat for improved accuracy of fat quantification"
Chebrolu VV, Hines CD, Yu H, et al., Magentic Resonance in Medicine 63 (4): 849-857 Apr 2010. Improved quantification of fat is demonstrated, with independent estimation of T*(2) for water and fat using phantom experiments. The tradeoffs in algorithm stability and accuracy between multiexponential and single exponential techniques are discussed. PubMed/NLM.
- "k-space water-fat decomposition with T2* estimation and multifrequency fat spectrum modeling for ultrashort echo time imaging"
Wang K, Yu H, Brittain JH, et al., Journal of Magnetic Resonance Imaging 31 (4): 1027-1034 Apr 2010. The combination of UTE data acquisition with IDEAL has potential applications in imaging and quantifying short T(2) tissues, eliminating the necessity for fat suppression pulses that may directly suppress the short T(2) signals. PubMed/NLM.
- "Managing evaporation for more robust microscale assays. Part 1. Volume loss in high throughput assays"
Berthier E, Warrick J, Yu H, et al., Lab Chip 8 (6): 852-859 Jun 2008. Here we present a review of microscale assays prone to evaporation and methods to make them more robust. Applications for these assays span from combinatorial chemistry to cell-biology where the stability of concentrations and osmolarity can be critical. A dimensionless evaporation number Ev is presented and used to characterize volume loss in short term and long term microscale assays. Ev can be used both as a design tool and as an analysis parameter. The advantageous use of evaporation in some applications is also discussed.