SNR-Adaptive Inhomogeneous Noise Correction Combined with Uniform Filter and Sensitivity Map (INCUS) Applying to Diffusion Weighted Image with Parallel Imaging

Tokunori Kimura¹, Takashi Shigeta¹

The purpose of this study was to assess a technique named INCUS (inhomogeneous noise correction combined with uniform filter and sensitivity map) for correcting spatially inhomogeneous noise on parallel imaging (PI) adaptively by combing with the Wiener filter (WF). Three types of WF were compared between INCUS and uniform type to DWI images. The INCUS could naturally reduce such noises while minimizing blur, and the minimum RMSE was smaller in the INCUS-WF than in the uniform-WF. We concluded that INCUS-WF is simple but very effective to optimally and automatically improve the spatially inhomogeneous noise on PI.