Theory of parallel MRI and cartesian SENSE reconstruction: Highlight

Abstract

Magnetic resonance imaging (MRI) is a well-known medical imaging technique, that exclusively uses the response of the hydrogen nucleus which is abundant in the human body. In recent years, parallel MRI techniques have been developed to accelerate image acquisition. A notable development in parallel MRI was the introduction of SMASH by Sodicksen and Manning. Since then, great progress in the development and improvement of parallel imaging reconstruction methods has taken place. The Sensitivity Encoding (SENSE) proposed by Preussmann and Weiger is the most widely used image-domain parallel MR image reconstruction technique. SENSE uses an initial estimate of the coil sensitivity in combination with an SNR optimized noise inversion to obtain the final reconstructed image. This chapter starts with a brief history of the parallel imaging, discusses the estimation of sensitivity and SENSE reconstruction.