DDN: dual domain network architecture for non-linear ultrasound transmission tomography reconstruction

Yuling Fan; Hongjian Wang; Hartmut Gemmeke; Torsten Hopp; Jürgen Hesser

doi:10.1117/12.2580911

26 February 2021 DDN: dual domain network architecture for non-linear ultrasound transmission tomography reconstruction

Yuling Fan, Hongjian Wang, Hartmut Gemmeke, Torsten Hopp, Jürgen Hesser

Proceedings Volume 11602, Medical Imaging 2021: Ultrasonic Imaging and Tomography; 1160209 (2021) https://doi.org/10.1117/12.2580911
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

Ultrasound transmission tomography promises a high potential and novel imaging method for early breast cancer diagnosis; it can quantitatively characterize tissues or materials by the attenuation and speed of sound (SoS). Reconstruction of ultrasound transmission tomography is an inverse problem that can be solved iteratively based on a paraxial approximation of the Helmholtz equation as forward model, which is highly non-linear and time-consuming. In order to address these problems and reconstruct desired images, we design a dual domain network architecture for ultrasound transmission tomography reconstruction. It can enhance the information of measurement domain and directly reconstruct from pressure field measurements without using any initialization of reconstruction and fully connected layer. We train the network on simulated ImageNet data and transfer it for ultrasound transmission tomography images to avoid overfitting when the amount of ultrasound transmission tomography images is limited. Our experimental results demonstrate that a dual domain network produces significant improvements over state-of-the-art methods. It improves the measured structural similarity measure (SSIM) from 0.54 to 0.90 and normalized root mean squared error (nRMSE) from 0.49 to 0.01 on average concerning the SoS reconstruction, and from 0.46 to 0.98 for SSIM, from 353 to 0.03 for nRMSE on average concerning the attenuation reconstruction.

Conference Presentation

Citation Download Citation

Yuling Fan, Hongjian Wang, Hartmut Gemmeke, Torsten Hopp, and Jürgen Hesser "DDN: dual domain network architecture for non-linear ultrasound transmission tomography reconstruction", Proc. SPIE 11602, Medical Imaging 2021: Ultrasonic Imaging and Tomography, 1160209 (26 February 2021); https://doi.org/10.1117/12.2580911

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