Breath-hold cardiac cine MRI requires fast data acquisition with good spatio-temporal resolution. Accelerated non-Cartesian trajectories accelerate data acquisition but lead to artifacts. This work proposes a GROG-based k-t ESPIRiT approach with TV to recover the unaliased MR real-time cine images with good spatio-temporal quality. The proposed method was tested on 8 patients with single breath-hold, short-axis, real-time cardiac cine whole-heart stack with under-sampled radially acquired data using trueFISP. The efficiency of the proposed reconstruction was clinically assessed for automated segmentation, CNR & SNR and compared with the standard image reconstruction available on Siemens 3T PRISMA and 1.5T AERA scanners.