Cherenkov-excited luminescence scanned imaging (CELSI) has been proposed for radiation-dose determination in medical physics due to its high spatial-resolution over centimeters of tissue. However, dense line-scanning illumination in typical CELSI is time-cost owing to the mechanical movement of the leaves in multi leaf collimator (MLC), resulting into increased radiation exposure. As a result, a scanningless Cherenkov luminescence imaging modality is herein proposed through structuring epi-illumination with MLC-based Hadamard-patterns, which utilizes a reduced radiation does by limiting illumination patterns, extremely shortening the sampling process. In order to effectively reconstruct unknowns from the resultant underdetermined linear system with sparse samplings, a compressed sensing-based reconstruction methodology with l1-norm regularization is adopted. Numerical and phantom experiments show that the proposed methodology achieves the same image quality as the traditional CELSI does.