Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

In this paper, we propose an ultrasound (US) probe pose estimation method only from US image sequences using deep learning for volume reconstruction. The proposed method employs the combination of convolutional neural network (CNN) and recurrent neural network (RNN) to estimate the US probe pose in light of the long-term temporal information of US image sequences. The features extracted by CNN are input to RNN to estimate the relative and absolute pose of the US probe. Through a set of experiments using US image sequence datasets with ground-truth pose measured by an optical tracking system, we demonstrate that the proposed method exhibits the efficient performance on US probe pose estimation and volume reconstruction compared with the conventional method.

Original languageEnglish
Title of host publicationSimplifying Medical Ultrasound - Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Proceedings
EditorsJ. Alison Noble, Stephen Aylward, Alexander Grimwood, Zhe Min, Su-Lin Lee, Yipeng Hu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages96-105
Number of pages10
ISBN (Print)9783030875824
DOIs
Publication statusPublished - 2021
Event2nd International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2021 held in conjunction with 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021 - Strasbourg, France
Duration: 2021 Sept 272021 Sept 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12967 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2021 held in conjunction with 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021
Country/TerritoryFrance
CityStrasbourg
Period21/9/2721/9/27

Keywords

  • CNN
  • Probe pose estimation
  • RNN
  • Ultrasound
  • Volume reconstruction

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