Analysis of influencing factors using GRAPPA algorithm for image reconstruction
Magnetic resonance imaging (MRI) is one of the major imaging modalities in medicine and biology with advantages in imaging soft tissues and great flexibility for various applications. However, its relatively long imaging time has obstructed its further development. To accelerate the imaging process, parallel MRI (pMRI) was proposed which applies multiple receiving coils operating in parallel to acquire k-space signals. Unfortunately, because of constraints of image reconstruction algorithms, pMRI cannot accelerate the imaging process as much as expected. So in order to accelerate the speed, it is necessary to analyze the influencing factors. There are many factors affecting the image quality of reconstruction. In this paper, it discusses three influencing factors in the GRAPPA reconstruction algorithm, there are block number, ACS lines and acceleration factor. It is found by experiments that all the factors that should be maintained within a range, in order to take into account the speed and quality of imaging.