Replication Data for: Multi-Domain Convolutional Neural Network (MD-CNN) For Radial Reconstruction of Dynamic Cardiac MRI
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Datasets of radial cine cardiac MRI data collected from 108 subjects (101 patients and 7 healthy subjects). Codes for the Multi-domain network and data reading are also included.- Each .mat file contains a radial data with the following dimensions:(#slices, #phases, #samples_zero-padded_over-sampled_by2, #radial_views, #coils, real_and_imaginary_components). For example a dataset of size (1, 25, 832, 196, 16, 2) contains radial data from: 1 slice 25 cardiac phase832 samples (including oversampling and zero-padding)196 radial view per frame16 coils2 for real&imaginary component' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Cardiac MRI","Deep learning","Image Reconstruction","Radial MRI"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Datasets of radial cine cardiac MRI data collected from 108 subjects (101 patients and 7 healthy subjects). Codes for the Multi-domain network and data reading are also included.- Each .mat file contains a radial data with the following dimensions:(#slices, #phases, #samples_zero-padded_over-sampled_by2, #radial_views, #coils, real_and_imaginary_components). For example a dataset of size (1, 25, 832, 196, 16, 2) contains radial data from: 1 slice 25 cardiac phase832 samples (including oversampling and zero-padding)196 radial view per frame16 coils2 for real&imaginary component' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Datasets of radial cine cardiac MRI data collected from 108 subjects (101 patients and 7 healthy subjects). Codes for the Multi-domain network and data reading are also included.- Each .mat file contains a radial data with the following dimensions:(#slices, #phases, #samples_zero-padded_over-sampled_by2, #radial_views, #coils, real_and_imaginary_components). For example a dataset of size (1, 25, 832, 196, 16, 2) contains radial data from: 1 slice 25 cardiac phase832 samples (including oversampling and zero-padding)196 radial view per frame16 coils2 for real&imaginary component
Cardiac MRI; Deep learning; Image Reconstruction; Radial MRI