Abstract #2663

Are Two MR Images Enough to Generate the Third One Accurately? - Clinically Feasible Fat Suppression of Lumbar Spine MRI from T1w and T2w Images Only

Sewon Kim¹, Hanbyol Jang¹, Kyungwon Kim¹, Hyeon Gyu Kim¹, Young Han Lee², Sungjun Kim*^2,3, and Dosik Hwang*¹

¹Yonsei University, Seoul, Republic of Korea, ²Yonsei University College of Medicine, Seoul, Republic of Korea, ³Gangnam Severance Hospital, Seoul, Republic of Korea

This study aims to generate T2-weighted fat suppression (T2 FS) magnetic resonance (MR) lumbar spine image from T1-weighted (T1-w) and T2-weighted (T2-w) images using fully convolutional neural networks. We trained our model that uses multimodal images (T1-w, and T2-w images) to generate synthetic T2FS images close to the acquired T2FS images. The results of our study show that our deep learning model can properly generate bone marrow edema of the vertebral bodies which significantly impact on diagnosis.

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.

Click here for more information on becoming a member.