Intermodality image guided MRI super-resolution

Image resolution of MRI is limited by several factors such as hardware, signal to noise ratio, hardware and time limitations or patients comfort. In typical clinical settings, several types of images are obtained with different voxel resolutions. Typically, resolution of through-plane is lower than that of in-plane. In many applications, such as image segmentation or registration, voxel size of low-resolution (LR) image is desired to match with a higher-resolution dataset. Traditionally, interpolation techniques such B-spline interpolation were applied. Super-resolution technique has been emerged as an effective way to improve the resolution, signal-to-noise ratio and acquisition time trade-offs compared with direct high-resolution (HR) acquisition. Here, an alternative super-resolution method with intermodality priors from another HR MRI is proposed. In particular, we aim to improve resolution of LR T2-weighted image with help of HR T1-weighted image

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