High efficiency free-breathing 3D thoracic aorta vessel wall imaging using self-gating image reconstruction

Purpose: To improve the scan efficiency of thoracic aorta vessel wall imaging using a self -gating (SG) -based motion correction scheme. Materials and methods: A slab -selective variable -flip -angle 3D turbo spin -echo (SPACE) sequence was modified to acquire SG signals and imaging data. Cartesian sampling with a tiny golden -step spiral profile ordering was used to obtain the imaging data during the systolic period, and then the image data were subsequently corrected based on the SG signals and binned to different respiratory cycles. Finally, respiratory artifacts were estimated from image -based registration of 3D undersampled respiratory bins that were reconstructed with L1 iterative selfconsistent parallel imaging reconstruction (SPIRiT). This method was evaluated in 11 healthy volunteers and compared against conventional diaphragmatic navigator -gated acquisition to assess the feasibility of the proposed framework. Results: Results showed that the proposed method achieved image quality comparable to that of conventional diaphragmatic navigator -gated acquisition with an average scan time of 4 min. The sharpness of the vessel wall and the definition of the liver boundary were in good agreement with the navigator -gated acquisition, which took approximately above 8.5 min depend on the respiratory rate. Further valuation of this technique in patients will be conducted to determine its clinical use.