Although sensitivity encoding (SENSE) technique is commonly used to reduce distortion in diffusion-weighted imaging (DWI), highly accelerated SENSE results in significantly increased noise, leading to systematic errors to the quantification of apparent diffusion coefficient. In this study, we proposed a novel method using compressed sensing combined with a highly accelerated sensitivity encoding (CS-SENSE) to reduce both the distortion and noise in liver DWI. The CS-SENSE demonstrated the higher SNR and reduced geometric distortion compared with conventional SENSE reconstruction. Liver DWI with the proposed method can improve the image quality with better lesion conspicuity.
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