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Target localization during respiration motion based on LSTM: A pilot study on robotic puncture system
Author(s) -
Ma Yuxiang,
Yang Zhikai,
Wu Wei,
Xie Hongzhi,
Gu Lixu
Publication year - 2021
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.2247
Subject(s) - computer science , imaging phantom , trajectory , artificial intelligence , tracking (education) , mean squared error , motion (physics) , computer vision , metric (unit) , mathematics , statistics , medicine , nuclear medicine , psychology , pedagogy , physics , astronomy , operations management , economics
Background In the needle biopsy, the respiratory motion causes the displacement of thoracic–abdominal soft tissues, which brings great difficulty to accurate localization. Based on internal target motion and external marker motion, the existing methods need to establish a correlation model or a prediction model to compensate the respiratory movement, which can hardly achieve required accuracy in clinic use due to the complexity of the internal tissue motion. Methods In order to improve the tracking accuracy and reduce the number of models, we propose a framework for target localization based on long short‐term memory (LSTM) method. Combined with the correlation model and the prediction model by using LSTM, we adopted the principal component of time‐series features of external surrogate signals to predict the trajectory of the internal tumour target. Additionally, based on the electromagnetic tracking system and Universal Robots 3 robotic arm, we applied the proposed approach to a prototype of robotic puncture system for real‐time tumour tracking. Results To verify the proposed method, experiments on both public datasets and customized motion phantom for respiratory simulation were performed. In the public dataset study, an average mean absolute error, and an average root‐mean‐square error of predictive results of 0.44 and 0.58 mm were achieved, respectively. In the motion phantom study, an average root mean square of puncturing error resulted in 0.65 mm. Conclusion The experimental results demonstrate the proposed method improves the accuracy of target localization during respiratory movement and appeals the potentials applying to clinical application.