Probe localization from ultrasound image sequences using deep learning for volume reconstruction

Kanta Miura; Koichi Ito; Takafumi Aoki; Jun Ohmiya; Satoshi Kondo

doi:10.1117/12.2590805

20 April 2021 Probe localization from ultrasound image sequences using deep learning for volume reconstruction

Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya, Satoshi Kondo

Proceedings Volume 11792, International Forum on Medical Imaging in Asia 2021; 117920O (2021) https://doi.org/10.1117/12.2590805
Event: International Forum on Medical Imaging in Asia 2021, 2021, Taipei, Taiwan

Abstract

We propose a probe localization method only from ultrasound (US) image sequences using deep learning for three-dimensional (3D) US image reconstruction. The proposed method employs a convolutional neural network (CNN) to estimate the motion of the probe from two US images. Our CNN architecture consists of two parts: inplane and out-of-plane probe motion estimation. Two loss functions are introduced to guarantee the consistency of estimated motion of the probe between multiple frames. Through experiments, we demonstrate that the proposed method exhibits efficient performance on probe localization compared with the conventional method.

Citation Download Citation

Kanta Miura, Koichi Ito, Takafumi Aoki, Jun Ohmiya, and Satoshi Kondo "Probe localization from ultrasound image sequences using deep learning for volume reconstruction", Proc. SPIE 11792, International Forum on Medical Imaging in Asia 2021, 117920O (20 April 2021); https://doi.org/10.1117/12.2590805

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