alfahimmohammad / isbi2019miccan

isbi2019miccan

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isbi2019miccan

MRI Reconstruction via Cascaded Channel-wise Attention Network

Qiaoying Huang, Dong Yang, Pengxiang Wu, Hui Qu, Jingru Yi, Dimitris Metaxas

Paper is accepted by The IEEE International Symposium on Biomedical Imaging (ISBI) 2019

Prerequisites

python 3.7 Pytorch 1.3

Quick start

Training: run main function with toy dataset

python main.py

Test: run main function with trained model

python main.py --train false

Toy dataset

We create a toy dataset with 2D cardiac SAX data from ACDC Challenge. In the data folder, we have kdata(undersample k-space data), mask(undersampling mask, undersampling rate=0.875), fully(fully sampled k-space data) and image(fully sampled magnitude image). If you want to run your own dataset, just place the your data into the data folder.

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isbi2019miccan


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