3543
View Abstract / View Presentation
Image blending method to produce consistent SNR in images denoised using a convolutional neural network
Anuj Sharma1 and Andrew J Wheaton1
1Magnetic Resonance, Canon Medical Research USA, Inc., Mayfield Village, OH, United States
We propose an image blending method that uses target SNR as a quantitative metric to produce natural-looking, denoised images. The proposed method is shown to produce denoised images with consistent SNR values in head, spine and knee applications.
Figure 2: Results from the head axial FLAIR experiments. The denoising CNN reduced image noise at the cost of significant smoothing. Blended images demonstrate the use of proposed method to generate images at different target SNR values. The target and measured SNR values closely match each other in all the blended images.
Figure 3: Results from the lumbar spine sagittal STIR and knee sagittal IW experiments. Images processed by the denoising CNN appear artificially smooth. Images blended using the proposed method have a natural appearance. The target and measured SNR values closely match each other.