The double-echo in steady-state (DESS) sequence offers
both 3D anatomical imaging and 3D quantitative mapping (SNR-efficient 3D maps
of T2 and apparent diffusion coefficent) in various applications, such as breast
imaging or knee cartilage imaging. The
complicated signal behavior remains a challenge for quantitative imaging, and strong
spoiling can lead to motion artifacts. Here, we introduce simplified methods
for modeling DESS signals, enabling more accurate T2 measurements and better
motion artifact reduction.
