Compressed sensing vs multiple overlapping echo detachment in acceleration efficiency of DL-based quantitative parametric mapping

Compressed sensing (CS) relies on random under-sampling measurements and has been the primary technique to accelerate quantitative parametric mapping (QPM). The multiple overlapping-echo detachment (MOLED) technique proposed recently is a novel technique to realize quantitative parametric mapping in a single shot within around 100 milliseconds. However, the two techniques still lack a systematic comparison of acceleration performance in QPM. For the first time, we analyze and compare the performance of these two techniques under the same conditions via numerical experiments. The results show that MOLED outerperforms one-dimensional under-sampling CS acceleration technique in T2 quantification.