Task-driven assessment of experimental designs in diffusion MRI: A computational framework.

ABSTRACT: This paper proposes a task-driven computational framework for assessing diffusion MRI experimental designs which, rather than relying on parameter-estimation metrics, directly measures quantitative task performance. Traditional computational experimental design (CED) methods may be ill-suited to experimental tasks, such as clinical classification, where outcome does not depend on parameter-estimation accuracy or precision alone. Current assessment metrics evaluate experiments' ability to faithfully recover microstructural parameters rather than their task performance. The method we propose addresses this shortcoming. For a given MRI experimental design (protocol, parameter-estimation method, model, etc.), experiments are simulated start-to-finish and task performance is computed from recei

SUBMITTER: Epstein SC 

PROVIDER: S-EPMC8500429 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature