Deep learning based denoising methods can significantly reduce image noise at the cost of producing unnaturally smooth images. Typically, natural-looking images are produced by blending a fraction of the acquired noisy image with the denoised image. The blending ratio is set based on visual inspection. This approach impedes workflow and is prone to inter-operator variability. We propose a method to analytically calculate the blending ratio based on a desired SNR value. The proposed method is demonstrated to produce natural-looking denoised images with consistent SNR across head, spine and knee applications.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords