First-pass perfusion cardiac MR (FP-CMR) is an essential tool for characterizing ischemic heart disease. Moreover, automated quantitative methods enable a reliable and operator-independent assessment of myocardial blood flow. Conventional FP-CMR has limited spatial resolution and is performed under breath-hold. Therefore, diagnostic accuracy is compromised by respiratory induced motion artifacts and false-positives due to dark-rim artifacts. To overcome these challenges, free-breathing Fat-water separation for mOtion-corrected Spatio-TEmporally accelerated myocardial peRfuSion (FOSTERS) has been proposed. Here, we implement and evaluate a high-resolution dual-echo Dixon version of FOSTERS and compare its quantitative performance to standard-resolution FP-CMR in patients with suspected cardiovascular disease.