Available Technologies

Background

In a typical magnetic resonance imaging (MRI) device, the detected magnetic resonance signals are converted into k-space signals by passing them through an orthogonal detector, and the magnetic resonance images of the object are reconstructed by performing an inverse Fourier transform on the k-space signals. However, such imaging process requires a long time. Furthermore, conventional compressed sensing methods that aim to capture magnetic resonance images in a relatively short time use the randomness of the acquired imaging data to estimate and complement missing data. When the process of phase estimation based on symmetry is introduced, the efficiency of compressed sensing is known to decrease.

Description and Advantages

Kyoto University researchers found that, by using the reconstruction method for magnetic resonance images shown in the below flowchart (Fig.1), the image quality of the reconstructed magnetic resonance images can be maintained without changing imaging methods of existing compressed sensing techniques.