TY - GEN
T1 - Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad
AU - Dai, Ling
AU - Zhao, Kaitao
AU - Li, Zhongyu
AU - Zhu, Jihua
AU - Liang, Libin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Sensorless freehand 3D ultrasound (US) reconstruction poses a significant challenge, yet it holds considerable importance in improving the accessibility of 3D US applications in clinics. Current mainstream solutions, relying on inertial measurement units or deep learning, encounter issues like cumulative drift. To overcome these limitations, we present a novel sensorless 3D US solution with two key contributions. Firstly, we develop a novel coupling pad for 3D US, which can be seamlessly integrated into the conventional 2D US scanning process. This pad, featuring 3 N-shaped lines, provides 3D spatial information without relying on external tracking devices. Secondly, we introduce a coarse-to-fine optimization method for calculating poses of sequential 2D US images. The optimization begins with a rough estimation of poses and undergoes refinement using a distance-topology discrepancy reduction strategy. The proposed method is validated by both simulation and practical phantom studies, demonstrating its superior performance compared to state-of-the-art methods and good accuracy in 3D US reconstruction.
AB - Sensorless freehand 3D ultrasound (US) reconstruction poses a significant challenge, yet it holds considerable importance in improving the accessibility of 3D US applications in clinics. Current mainstream solutions, relying on inertial measurement units or deep learning, encounter issues like cumulative drift. To overcome these limitations, we present a novel sensorless 3D US solution with two key contributions. Firstly, we develop a novel coupling pad for 3D US, which can be seamlessly integrated into the conventional 2D US scanning process. This pad, featuring 3 N-shaped lines, provides 3D spatial information without relying on external tracking devices. Secondly, we introduce a coarse-to-fine optimization method for calculating poses of sequential 2D US images. The optimization begins with a rough estimation of poses and undergoes refinement using a distance-topology discrepancy reduction strategy. The proposed method is validated by both simulation and practical phantom studies, demonstrating its superior performance compared to state-of-the-art methods and good accuracy in 3D US reconstruction.
KW - Coupling pad
KW - Freehand 3D ultrasound
KW - Optimization
KW - Sensorless
UR - https://www.scopus.com/pages/publications/85207643191
U2 - 10.1007/978-3-031-72083-3_52
DO - 10.1007/978-3-031-72083-3_52
M3 - 会议稿件
AN - SCOPUS:85207643191
SN - 9783031720826
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 559
EP - 569
BT - Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings
A2 - Linguraru, Marius George
A2 - Dou, Qi
A2 - Feragen, Aasa
A2 - Giannarou, Stamatia
A2 - Glocker, Ben
A2 - Lekadir, Karim
A2 - Schnabel, Julia A.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024
Y2 - 6 October 2024 through 10 October 2024
ER -