Log In Sign Up

Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis

by   Xiaofeng Liu, et al.

Tagged magnetic resonance imaging (MRI) is a widely used imaging technique for measuring tissue deformation in moving organs. Due to tagged MRI's intrinsic low anatomical resolution, another matching set of cine MRI with higher resolution is sometimes acquired in the same scanning session to facilitate tissue segmentation, thus adding extra time and cost. To mitigate this, in this work, we propose a novel dual-cycle constrained bijective VAE-GAN approach to carry out tagged-to-cine MR image synthesis. Our method is based on a variational autoencoder backbone with cycle reconstruction constrained adversarial training to yield accurate and realistic cine MR images given tagged MR images. Our framework has been trained, validated, and tested using 1,768, 416, and 1,560 subject-independent paired slices of tagged and cine MRI from twenty healthy subjects, respectively, demonstrating superior performance over the comparison methods. Our method can potentially be used to reduce the extra acquisition time and cost, while maintaining the same workflow for further motion analyses.


FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution

High-resolution magnetic resonance images can provide fine-grained anato...

Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement

Cycle reconstruction regularized adversarial training – e.g., CycleGAN, ...

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation

Magnetic resonance imaging (MRI) provides varying tissue contrast images...

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...

Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...

ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization

ImUnity is an original deep-learning model designed for efficient and fl...

Real-Time MRI Video synthesis from time aligned phonemes with sequence-to-sequence networks

Real-Time Magnetic resonance imaging (rtMRI) of the midsagittal plane of...