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a personalized biomechanical model for respiratory motion prediction  (Respiratory Motion)

 
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    Structured Review

    Respiratory Motion a personalized biomechanical model for respiratory motion prediction
    A Personalized Biomechanical Model For Respiratory Motion Prediction, supplied by Respiratory Motion, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/a personalized biomechanical model for respiratory motion prediction/product/Respiratory Motion
    Average 90 stars, based on 1 article reviews
    a personalized biomechanical model for respiratory motion prediction - by Bioz Stars, 2026-05
    90/100 stars

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    Image Search Results


    Schematic diagram of lung tumor motion tracking, (A) is the process of tumor localization . Each of (B) is a 4DCBCT (four-dimensional cone beam CT) sequence image of tumor tracking at different stages in a respiratory process, obtained by the EELKTA Synergy XVI system in the University of Tokyo Hospital .

    Journal: Frontiers in Oncology

    Article Title: Respiratory Prediction Based on Multi-Scale Temporal Convolutional Network for Tracking Thoracic Tumor Movement

    doi: 10.3389/fonc.2022.884523

    Figure Lengend Snippet: Schematic diagram of lung tumor motion tracking, (A) is the process of tumor localization . Each of (B) is a 4DCBCT (four-dimensional cone beam CT) sequence image of tumor tracking at different stages in a respiratory process, obtained by the EELKTA Synergy XVI system in the University of Tokyo Hospital .

    Article Snippet: Considering the problem of mechanical and computer delays, the respiratory motion prediction model needs to determine the trajectory of the tumor after a period of delay, and finally perform radiotherapy to kill tumor cells.

    Techniques: Sequencing

    The overall framework of respiratory motion. Use EMD to fully extract the features of the respiratory motion signal and learn the features by building a prediction model based on deep learning, so as to achieve accurate prediction.

    Journal: Frontiers in Oncology

    Article Title: Respiratory Prediction Based on Multi-Scale Temporal Convolutional Network for Tracking Thoracic Tumor Movement

    doi: 10.3389/fonc.2022.884523

    Figure Lengend Snippet: The overall framework of respiratory motion. Use EMD to fully extract the features of the respiratory motion signal and learn the features by building a prediction model based on deep learning, so as to achieve accurate prediction.

    Article Snippet: Considering the problem of mechanical and computer delays, the respiratory motion prediction model needs to determine the trajectory of the tumor after a period of delay, and finally perform radiotherapy to kill tumor cells.

    Techniques:

    Schematic diagram of outlier correction and comparison, (A) is a segment of the original respiratory signal, which contains an abnormal state in a certain time interval, (B) shows the result of the respiratory signal after the outlier correction algorithm. Compared with the original signal, it can be seen that the part containing outliers has been successfully corrected, and the rest remain unchanged.

    Journal: Frontiers in Oncology

    Article Title: Respiratory Prediction Based on Multi-Scale Temporal Convolutional Network for Tracking Thoracic Tumor Movement

    doi: 10.3389/fonc.2022.884523

    Figure Lengend Snippet: Schematic diagram of outlier correction and comparison, (A) is a segment of the original respiratory signal, which contains an abnormal state in a certain time interval, (B) shows the result of the respiratory signal after the outlier correction algorithm. Compared with the original signal, it can be seen that the part containing outliers has been successfully corrected, and the rest remain unchanged.

    Article Snippet: Considering the problem of mechanical and computer delays, the respiratory motion prediction model needs to determine the trajectory of the tumor after a period of delay, and finally perform radiotherapy to kill tumor cells.

    Techniques: Comparison

    Network layer of respiratory prediction model.

    Journal: Frontiers in Oncology

    Article Title: Respiratory Prediction Based on Multi-Scale Temporal Convolutional Network for Tracking Thoracic Tumor Movement

    doi: 10.3389/fonc.2022.884523

    Figure Lengend Snippet: Network layer of respiratory prediction model.

    Article Snippet: Considering the problem of mechanical and computer delays, the respiratory motion prediction model needs to determine the trajectory of the tumor after a period of delay, and finally perform radiotherapy to kill tumor cells.

    Techniques:

    Results of  respiratory  prediction algorithm.

    Journal: Frontiers in Oncology

    Article Title: Respiratory Prediction Based on Multi-Scale Temporal Convolutional Network for Tracking Thoracic Tumor Movement

    doi: 10.3389/fonc.2022.884523

    Figure Lengend Snippet: Results of respiratory prediction algorithm.

    Article Snippet: Considering the problem of mechanical and computer delays, the respiratory motion prediction model needs to determine the trajectory of the tumor after a period of delay, and finally perform radiotherapy to kill tumor cells.

    Techniques:

    Results comparison of different  respiratory  prediction models.

    Journal: Frontiers in Oncology

    Article Title: Respiratory Prediction Based on Multi-Scale Temporal Convolutional Network for Tracking Thoracic Tumor Movement

    doi: 10.3389/fonc.2022.884523

    Figure Lengend Snippet: Results comparison of different respiratory prediction models.

    Article Snippet: Considering the problem of mechanical and computer delays, the respiratory motion prediction model needs to determine the trajectory of the tumor after a period of delay, and finally perform radiotherapy to kill tumor cells.

    Techniques: Comparison