Parallel Imaging Artifacts - Video Lesson

Hey everybody and welcome back to our course on MRI artifacts. In this lesson, we will focus on parallel imaging artifacts. We will explore how parallel imaging changes the way data is acquired, Why those changes lead to specific artifacts such as aliasing and noise amplification. How these artifacts appear on images and how they can be minimized in clinical practice. A clear understanding of why these artifacts occur, how they look and what factors influence their severity is essential for anyone working with MRI. Parallel imaging can be broadly divided into two types based on how reconstruction is performed. Case based based parallel imaging and image based parallel imaging. While these approaches differ in how missing data are handled, both rely on multi channel receiver coils and intentional under sampling of k space to reduce scan time. Let's begin with k space based parallel imaging. In conventional MRI, k space is fully sampled line by line in the phase encoding direction.