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: