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hybrid-cs-model-mri

Use Case and High-Level Description

The hybrid-cs-model-mri model is a hybrid frequency-domain/image-domain deep network for Magnetic Resonance Image (MRI) reconstruction. The model is composed of a k-space network that essentially tries to fill missing k-space samples, an Inverse Discrete Fourier Transformation (IDFT) operation, and an image-domain network that acts as an anti-aliasing filter.

More details provided in the paper and repository.

Specification

Metric Value
Type MRI Image Inpainting in k-Space
GFlops 146.6037
MParams 11.3313
Source framework TensorFlow*

Accuracy

Accuracy metrics are obtained on Calgary-Campinas Public Brain MR Dataset.

Metric Value
PSNR (mean) 34.272884 dB
PSNR (std) 4.607115 dB

Use accuracy_check [...] --model_attributes <path_to_folder_with_downloaded_model> to specify the path to additional model attributes. path_to_folder_with_downloaded_model is a path to the folder, where the current model is downloaded by Model Downloader tool.

Input

Original model

MRI input, name - input_1, shape - 1, 256, 256, 2, format - B, H, W, C, where:

  • B - batch size
  • H - image height
  • W - image width
  • C - number of channels

Converted model

MRI input, name - input_1, shape - 1, 256, 256, 2, format - B, H, W, C, where:

  • B - batch size
  • H - image height
  • W - image width
  • C - number of channels

Output

Original model

The net outputs a blob with the name StatefulPartitionedCall/model/conv2d_43/BiasAdd/Add and shape 1, 1, 256, 256, containing reconstructed MR image.

Converted model

The net outputs a blob with the name StatefulPartitionedCall/model/conv2d_43/BiasAdd/Add and shape 1, 1, 256, 256, containing reconstructed MR image.

Download a Model and Convert it into OpenVINO™ IR Format

You can download models and if necessary convert them into OpenVINO™ IR format using the Model Downloader and other automation tools as shown in the examples below.

An example of using the Model Downloader:

omz_downloader --name <model_name>

An example of using the Model Converter:

omz_converter --name <model_name>

Demo usage

The model can be used in the following demos provided by the Open Model Zoo to show its capabilities:

Legal Information

The original model is distributed under the following license:

MIT License

Copyright (c) 2018 Roberto M Souza

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.