By sensitizing the MRI signal to the molecular diffusion within tissue, diffusion MRI provides a unique non-invasive probe into tissue microstructure. Using appropriate signal models, we can extract quantitative measures of tissue microstructure from diffusion MRI data. However, diffusion MRI is highly sensitive to distortions, noise and other imaging artifacts. These artifacts can introduce bias and variability in diffusion MRI measures, and preclude the reproducible application of diffusion MRI as a quantitative biomarker. We focus on the development and validation of diffusion MRI techniques that are accurate and reproducible. Our work includes the development and optimization of image acquisition and reconstruction techniques, as well as development of novel imaging phantoms, and validation in volunteers and patients.
- Zhang Y, Wells SA, Triche BL, Kelcz F, and Hernando D. Stimulated-echo diffusion-weighted imaging with moderate b values for the detection of prostate cancer. European Radiology, 2020; 30:3236-3244. DOI PMID
- Zhang Y, Peña-Nogales Ó, Holmes JH and Hernando D. Motion-robust and blood-suppressed M1-optimized diffusion MR imaging of the liver. Magnetic resonance in medicine. 2019 March DOI PMID
- Zhang Y, Wells S and Hernando D. Stimulated echo based mapping (STEM) of T1, T2, and apparent diffusion coefficient: Validation and protocol optimization. Magnetic Resonance in Medicine. 2019 January;81(1):167-181. DOI PMID
- Peña-Nogales Ó, Zhang Y, Wang X, de Luis-Garcia R, Aja-Fernández S, Holmes JH and Hernando D. Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling. Magnetic Resonance in Medicine. 2018 nov;81(2):989-1003. DOI PMID
- Zhang Y, Holmes J, Rabanillo I, Guidon A, Wells S and Hernando D. Quantitative diffusion MRI using reduced field-of-view and multi-shot acquisition techniques: Validation in phantoms and prostate imaging. Magnetic Resonance Imaging. 2018 Sep;51:173-181. DOI PMID