Impact of (k,t) sampling on DCE MRI tracer kinetic parameter estimation in digital reference objects.

ABSTRACT:

Purpose

To evaluate the impact of (k,t) data sampling on the variance of tracer-kinetic parameter (TK) estimation in high-resolution whole-brain dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) using digital reference objects. We study this in the context of TK model constraints, and in the absence of other constraints.

Methods

Three anatomically and physiologically realistic brain-tumor digital reference objects were generated. Data sampling strategies included uniform and variable density; zone-based, lattice, pseudo-random, and pseudo-radial; with 50-time frames and 4-fold to 25-fold undersampling. In all cases, we assume a fully sampled first time frame, and prior knowledge of the arterial input function. TK parameters were estimated by indirect estimation

SUBMITTER: Bliesener Y 

PROVIDER: S-EPMC6982604 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature