One of the main strengths of MRI is the wide range of soft tissue contrasts which can be obtained using different sequence parameters. T1-weighted-images provide exquisite contrast between gray/white matter but fail to capture arterial vessels. Here we experiment with deep-learning for image synthesis, to synthesize a time-of-flight-(TOF) angiogram based on T1 contrast image. We then compare arterial diameters from synthesized TOF with ground-truth-TOF diameters. We also synthesize a T1 from a T2, and compare cortical metrics such as thickness, curvature etc. We show that it is possible to obtain vessel diameters from T1, and cortical thick/vol/curv measures from T2.