Log In Sign Up

Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging

by   Steven McDonagh, et al.

3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast but low-resolution image acquisition and highly detailed but slow image acquisition. Fast imaging is required for targets that move to avoid motion artefacts. This is in particular difficult for fetal MRI. Spatially independent upsampling techniques, which are the state-of-the-art to address this problem, are error prone and disregard contextual information. In this paper we propose a context-sensitive upsampling method based on a residual convolutional neural network model that learns organ specific appearance and adopts semantically to input data allowing for the generation of high resolution images with sharp edges and fine scale detail. By making contextual decisions about appearance and shape, present in different parts of an image, we gain a maximum of structural detail at a similar contrast as provided by high-resolution data. We experiment on 145 fetal scans and show that our approach yields an increased PSNR of 1.25 dB when applied to under-sampled fetal data cf. baseline upsampling. Furthermore, our method yields an increased PSNR of 1.73 dB when utilizing under-sampled fetal data to perform brain volume reconstruction on motion corrupted captured data.


page 7

page 8


FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom

Accurate characterization of in utero human brain maturation is critical...

SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging

Improving the image resolution and acquisition speed of magnetic resonan...

ShuffleUNet: Super resolution of diffusion-weighted MRIs using deep learning

Diffusion-weighted magnetic resonance imaging (DW-MRI) can be used to ch...

Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery

Magnetic resonance imaging (MRI) offers the flexibility to image a given...

Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution

Motion degradation is a central problem in Magnetic Resonance Imaging (M...

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects

Extremely small objects (ESO) have become observable on clinical routine...