Cardiac_USimage_Enhancement

Adaptive Contrast Enhancement of Cardiac Ultrasound Images using a Deep Unfolded Many-Body Quantum Algorithm

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Please download the pretrained model from

https://www.dropbox.com/s/6edzcf76lnfn7uj/DIVA_US_image_despeckling_model.hdf5?dl=0

and save file into 'Model' folder before testing

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This paper presents a deep neural network called DIVA-A unfolding a baseline adaptive algorithm (De-QuIP), relying on the theory of quantum many-body physics.

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Sample code of the papers:

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1. Sayantan Dutta, Bertrand Georgeot, Denis Kouamé, Damien Garcia, Adrian Basarab, "Adaptive Contrast Enhancement of Cardiac Ultrasound Images using a Deep Unfolded Many-Body Quantum Algorithm", 2022 IEEE International Ultrasonics Symposium (IUS), 2022, pp. 1-4.

2. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration," Submitted, 2022.

3. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Deep Unfolding of Image Denoising by Quantum Interactive Patches," 2022 IEEE International Conference on Image Processing (ICIP), 2022, pp. 491-495, doi: 10.1109/ICIP46576.2022.9897959.

Other related papers:

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4. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Despeckling Ultrasound Images Using Quantum Many-Body Physics," 2021 IEEE International Ultrasonics Symposium (IUS), 2021, pp. 1-4, doi: 10.1109/IUS52206.2021.9593778.

5. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "A Novel Image Denoising Algorithm Using Concepts of Quantum Many-Body Theory," Signal Processing, vol. 201, pp. 108690, 2022, doi: 10.1016/j.sigpro.2022.108690

6. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Image Denoising Inspired by Quantum Many-Body physics," 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 1619-1623, doi: 10.1109/ICIP42928.2021.9506794.

7. Sayantan Dutta, Adrian Basarab, Bertrand Georgeot, and Denis Kouamé, "Quantum mechanics-based signal and image representation: Application to denoising," IEEE Open Journal of Signal Processing, vol. 2, pp. 190–206, 2021.

One should cite all these papers for using the following codes.

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Python code prepard by Sayantan Dutta E-mail: sdu4004@med.cornell.edu and sayantan.dutta110@gmail.com

Please contact Sayantan Dutta for the latest Python code and any further communications.

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The following script shows an example of our ultrasound image Enhancement model Deep denoising by quantum InteractiVe pAtches - Advanced (DIVA-A)

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