Radiotherapy typically relies on MRI for tumor visualization and CT for dose calculation, but acquiring both scans introduces registration errors and slows clinical workflow. We develop sCTFlow, a conditional rectified flow generative model that synthesizes high-fidelity CT images directly from MRI. This MR-only approach aims to streamline treatment planning by producing anatomically consistent, dose-accurate synthetic CTs.