@inproceedings{d579dab3aa734b37bf4f4eddea1c2e40,
title = "Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction",
abstract = "This paper presents an ultrasound (US) volume reconstruction method only from US image sequences using deep learning. The proposed method employs the convolutional neural network (CNN) to estimate the position of a 2D US probe only from US images. Our CNN model consists of two networks: feature extraction and motion estimation. We also introduce the consistency loss function to enforce. Through a set of experiments using US image sequence datasets with ground-truth motion measured by a motion capture system, we demonstrate that the proposed method exhibits the efficient performance on probe localization and volume reconstruction compared with the conventional method.",
keywords = "CNN, Probe localization, Ultrasound, Volume reconstruction",
author = "Kanta Miura and Koichi Ito and Takafumi Aoki and Jun Ohmiya and Satoshi Kondo",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 1st International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 ; Conference date: 04-10-2020 Through 08-10-2020",
year = "2020",
doi = "10.1007/978-3-030-60334-2_10",
language = "English",
isbn = "9783030603335",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "97--105",
editor = "Yipeng Hu and Roxane Licandro and Noble, {J. Alison} and Jana Hutter and Andrew Melbourne and Stephen Aylward and {Abaci Turk}, Esra and {Torrents Barrena}, Jordina and {Torrents Barrena}, Jordina",
booktitle = "Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - 1st International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Proceedings",
address = "Germany",
}