@inproceedings{3618152034fe42e8a73d7f94c30f69ce,
title = "A Probe-Camera System for 3D Ultrasound Image Reconstruction",
abstract = "This paper proposes a probe-camera system for 3D ultrasound (US) image reconstruction with probe-camera calibration and probe localization methods. The probe-camera calibration method employs an existing US phantom for convenience with a simple procedure. The probe localization method employs structure from motion (SfM) to estimate the camera motion. SfM is used to reconstruct 3D point clouds from multiple-view images and simultaneously estimate each camera position. Through experiments using the developed system, we demonstrate that the proposed method exhibits good performance to reconstruct 3D US volume.",
keywords = "3D ultrasound, Probe localization, Structure from motion",
author = "Koichi Ito and Kouya Yodokawa and Takafumi Aoki and Jun Ohmiya and Satoshi Kondo",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017 and International Workshop on Point-of-Care Ultrasound: Algorithms, Hardware, and Applications, POCUS 2017 held in Conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017 ; Conference date: 14-09-2017 Through 14-09-2017",
year = "2017",
doi = "10.1007/978-3-319-67552-7_16",
language = "English",
isbn = "9783319675510",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "129--137",
editor = "Cardoso, {M. Jorge} and Tal Arbel",
booktitle = "Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound - International Workshops, BIVPCS 2017 and POCUS 2017 Held in Conjunction with MICCAI 2017, Proceedings",
address = "Germany",
}