High-resolution reference image assisted volumetric super-resolution of cardiac diffusion weighted imaging

Yinzhe Wu; Jiahao Huang; Fanwen Wang; Pedro Ferreira; Andrew Scott; Sonia Nielles-Vallespin; Guang Yang

doi:10.1117/12.3006008

2 April 2024 High-resolution reference image assisted volumetric super-resolution of cardiac diffusion weighted imaging

Yinzhe Wu, Jiahao Huang, Fanwen Wang, Pedro Ferreira, Andrew Scott, Sonia Nielles-Vallespin, Guang Yang

Proceedings Volume 12926, Medical Imaging 2024: Image Processing; 1292620 (2024) https://doi.org/10.1117/12.3006008
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Diffusion Tensor Cardiac Magnetic Resonance (DT-CMR) is the only in vivo method to non-invasively examine the microstructure of the human heart. Current research in DT-CMR aims to improve the understanding of how the cardiac microstructure relates to the macroscopic function of the healthy heart as well as how microstructural dysfunction contributes to disease. To get the final DT-CMR metrics, we need to acquire diffusion weighted images of at least 6 directions. However, due to DWI’s low signal-to-noise ratio, the standard voxel size is quite big on the scale for microstructures. In this study, we explored the potential of deep-learning-based methods in improving the image quality volumetrically (×4 in all dimensions). This study proposed a novel framework to enable volumetric super-resolution, with an additional model input of high-resolution b0 DWI. We demonstrated that the additional input could offer higher super-resolved image quality. Going beyond, the model is also able to super-resolve DWIs of unseen b-values, proving the model framework’s generalizability for cardiac DWI super-resolution. In conclusion, we would then recommend giving the model a high-resolution reference image as an additional input to the low-resolution image for training and inference to guide all super-resolution frameworks for parametric imaging where a reference image is available.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yinzhe Wu, Jiahao Huang, Fanwen Wang, Pedro Ferreira, Andrew Scott, Sonia Nielles-Vallespin, and Guang Yang "High-resolution reference image assisted volumetric super-resolution of cardiac diffusion weighted imaging", Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 1292620 (2 April 2024); https://doi.org/10.1117/12.3006008

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