Search Results for author: Shanhui Sun

Found 21 papers, 1 papers with code

An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal

no code implementations6 Feb 2023 Yikang Liu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun

Previous studies tackled these two problems separately, where super resolution methods tend to enhance Gibbs artifacts, whereas Gibbs ringing removal methods tend to blur the images.


Computationally Efficient 3D MRI Reconstruction with Adaptive MLP

no code implementations21 Jan 2023 Eric Z. Chen, Chi Zhang, Xiao Chen, Yikang Liu, Terrence Chen, Shanhui Sun

Recon3DMLP improves HR 3D reconstruction and outperforms several existing CNN-based models under similar GPU memory consumption, which demonstrates that Recon3DMLP is a practical solution for HR 3D MRI reconstruction.

3D Reconstruction MRI Reconstruction

Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction

no code implementations3 Jan 2023 Daniel H. Pak, Xiao Chen, Eric Z. Chen, Yikang Liu, Terrence Chen, Shanhui Sun

Deep learning (DL)-based methods have shown promising results for single-slice MR reconstruction, but the addition of SMS acceleration raises unique challenges due to the composite k-space signals and the resulting images with strong inter-slice artifacts.

MRI Reconstruction Transfer Learning

JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI

no code implementations22 Oct 2022 Lin Zhao, Xiao Chen, Eric Z. Chen, Yikang Liu, Dinggang Shen, Terrence Chen, Shanhui Sun

The proposed framework consists of a sampling mask generator for each image contrast and a reconstructor exploiting the inter-contrast correlations with a recurrent structure which enables the information sharing in a holistic way.

Deep Statistic Shape Model for Myocardium Segmentation

no code implementations21 Jul 2022 Xiaoling Hu, Xiao Chen, Yikang Liu, Eric Z. Chen, Terrence Chen, Shanhui Sun

Additionally, the predicted point cloud guarantees boundary correspondence for sequential images, which contributes to the downstream tasks, such as the motion estimation of myocardium.

Motion Estimation Myocardium Segmentation

Robust Landmark-based Stent Tracking in X-ray Fluoroscopy

no code implementations20 Jul 2022 Luojie Huang, Yikang Liu, Li Chen, Eric Z. Chen, Xiao Chen, Shanhui Sun

Even though angioplasty devices are designed to have radiopaque markers for the ease of tracking, current methods struggle to deliver satisfactory results due to the small marker size and complex scenes in angioplasty.

Invertible Sharpening Network for MRI Reconstruction Enhancement

no code implementations6 Jun 2022 Siyuan Dong, Eric Z. Chen, Lin Zhao, Xiao Chen, Yikang Liu, Terrence Chen, Shanhui Sun

During inference, the learned blurring transform can be inverted to a sharpening transform leveraging the network's invertibility.

MRI Reconstruction SSIM

Multi-scale Neural ODEs for 3D Medical Image Registration

no code implementations16 Jun 2021 Junshen Xu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun

The inference consists of iterative gradient updates similar to a conventional gradient descent optimizer but in a much faster way, because the neural ODE learns from the training data to adapt the gradient efficiently at each iteration.

Image Registration Medical Image Registration

Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning

no code implementations17 May 2021 Eric Z. Chen, Yongquan Ye, Xiao Chen, Jingyuan Lyu, Zhongqi Zhang, Yichen Hu, Terrence Chen, Jian Xu, Shanhui Sun

We propose a deep learning framework for undersampled 3D MRI data reconstruction and apply it to MULTIPLEX MRI.

MRI Reconstruction

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction

no code implementations17 May 2021 Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Qi Liu, Zhongqi Zhang, Yu Ding, Shuheng Zhang, Terrence Chen, Jian Xu, Shanhui Sun

To the best of our knowledge, this is the first work to evaluate the cine MRI with deep learning reconstruction for cardiac function analysis and compare it with other conventional methods.

Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks

no code implementations25 Aug 2020 Qiaoying Huang, Eric Z. Chen, Hanchao Yu, Yimo Guo, Terrence Chen, Dimitris Metaxas, Shanhui Sun

We also analyze thickness patterns on different cardiac pathologies with a standard clinical model and the results demonstrate the potential clinical value of our method for thickness based cardiac disease diagnosis.

Anatomy-Aware Cardiac Motion Estimation

no code implementations17 Aug 2020 Pingjun Chen, Xiao Chen, Eric Z. Chen, Hanchao Yu, Terrence Chen, Shanhui Sun

A baseline dense motion tracker is trained to approximate the motion fields and then refined to estimate anatomy-aware motion fields under the weak supervision from the VAE.

Anatomy Motion Estimation

Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network

no code implementations12 Aug 2020 Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Yuan Zheng, Terrence Chen, Jian Xu, Shanhui Sun

Real-time cardiac cine MRI does not require ECG gating in the data acquisition and is more useful for patients who can not hold their breaths or have abnormal heart rhythms.

Image Reconstruction

Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation

no code implementations28 Jun 2020 Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun

In this paper, we propose Motion Pyramid Networks, a novel deep learning-based approach for accurate and efficient cardiac motion estimation.

Knowledge Distillation Motion Estimation

MRI Image Reconstruction via Learning Optimization Using Neural ODEs

no code implementations24 Jun 2020 Eric Z. Chen, Terrence Chen, Shanhui Sun

We investigate several models based on three ODE solvers and compare models with fixed solvers and learned solvers.

MRI Reconstruction

FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation

no code implementations CVPR 2020 Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas Huang, Terrence Chen

In clinical deployment, however, they suffer dramatic performance drops due to mismatched distributions between training and testing datasets, commonly encountered in the clinical environment.

Anatomy Motion Estimation

Pyramid Convolutional RNN for MRI Image Reconstruction

no code implementations2 Dec 2019 Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Shanhui Sun

We evaluate our model on the fastMRI knee and brain datasets and the results show that the proposed model outperforms other methods and can recover more details.

MRI Reconstruction

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