561-01-008 ISMRM Abstract

PSF-EPI-DWI to Multi-Contrast MRI Translation using Deep Learning

Primary: Analysis Methods - Image Synthesis and Translation

Secondary: Acquisition & Reconstruction - Image Reconstruction: AI

561-01-008 · Generative Models for Image Synthesis · Wednesday, 13 May, 8:20 AM–9:15 AM · Digital Posters Row B

Keywords: Deep learning FLAIR Imaging T2-weighted imaging Transformer PSF-EPI-DWI

Accepted

Yuhang He¹, Juanhua Zhang¹, Zhe Zhang², Yuan Lian¹, Yibei Yu³, Wen Zhong¹, Xiaoguang Yang², Jing Jing², Zhuozhao Zheng³, Hao Huang^4,5, Hua Guo ¹

¹Tsinghua University, Beijing, China

²China National Clinical Research Center for Neurological Diseases Institution, Beijing Tiantan Hospital, Beijing, China

³Department of Radiology, Beijing Tsinghua Changgung Hospital, Beijing, China

⁴Department of Radiology, University of Pennsylvania, Philadelphia, United States of America

⁵Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, United States of America

Presenting Author: Hua Guo

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References

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3. Hajnal, J. V., Bryant, D. J., Kasuboski, L., Pattany, P. M., De Coene, B., Lewis, P. D., Pennock, J. M., Oatridge, A., Young, I. R., & Bydder, G. M. (1992). Use of fluid attenuated inversion recovery (FLAIR) pulse sequences in MRI of the brain. Journal of Computer Assisted Tomography, 16(6), 841–844. https://doi.org/10.1097/00004728-199211000-00001 (PMID: 1429440) [doi] [pmid]

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5. In, M. H., Posnansky, O., & Speck, O. (2017). High-resolution distortion-free diffusion imaging using hybrid spin-warp and echo-planar PSF-encoding approach. NeuroImage, 148, 20–30. https://doi.org/10.1016/j.neuroimage.2016.12.058 (PMID: 28040546 [doi] [pmid]

6. Dong, Z., Wang, F., Reese, T. G., Rosen, B. R., & Wald, L. L. (2019). Tilted-CAIPI for highly accelerated distortion-free EPI with point spread function (PSF) encoding. Magnetic Resonance in Medicine, *82*(1), 212–224. https://doi.org/10.1002/mrm.27728 (PMID: 30635939) [doi] [pmid]

7. Chen, J., Lu, Y., Yu, Q., Luo, X., Zhou, Y., et al. (2022). TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Analysis, *82*, 102597. https://doi.org/10.1016/j.media.2022.102597 (PMID: 35921731) [doi] [pmid]

8. Cao, Y., Bin, J., Yang, Z., Li, G., & Liu, T. (2023). Multimodal object detection by channel switching and spatial attention. In *2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)* (pp. 1584-1593). IEEE. https://doi.org/10.1109/CVPRW59228.2023.00159 [doi]

9. Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004). Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4), 600–612. https://doi.org/10.1109/TIP.2003.819861 [doi]

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http://echo.ismrm.org/p/ISMRM2026/561-01-008