Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Neural Control of Respiration

Neural Control of Respiration

The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same journal

Cognitive Behavioral Immersion for Depression: Randomized Controlled Trial Comparing Virtual Reality and Flat-Screen Delivery.

Journal of medical Internet research·2026

Same journal

Effects and User-Reported Experiences of a Self-Management Mobile Health App for Grieving Adolescents: Randomized Controlled Trial.

Journal of medical Internet research·2026

Same journal

Developing a Core Outcome Set for the Evaluation of Remote Patient Monitoring Interventions Using the Sextuple Aim: Modified Delphi Study.

Journal of medical Internet research·2026

Same journal

Federal Cuts and Public Health: Social Media Sentiment Among Federal Employees.

Journal of medical Internet research·2026

Same journal

Perceived Importance of Abortion Care Features and Access to Telehealth Technologies Among Medication Abortion Patients by Abortion Care Model: Cross-Sectional Analysis of a Prospective Cohort Study.

Journal of medical Internet research·2026

Same journal

Application of AI in Hypertension Health Education: Scoping Review.

Journal of medical Internet research·2026

Search research articles

Related Experiment Video

Updated: Oct 29, 2025

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model

Panchun Chang^1,2, Jun Dang¹, Jianrong Dai³

¹Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Journal of Medical Internet Research

|July 8, 2021

Summary

A deep learning model using temporal convolutional neural networks accurately predicts tumor locations for radiation therapy. This advance minimizes time latency in dynamic tumor tracking, improving treatment precision.

Keywords:

deep learning model dynamic tracking neural network radiation therapy respiratory signal prediction temporal convolutional neural network

More Related Videos

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Published on: May 8, 2018

Related Experiment Videos

Last Updated: Oct 29, 2025

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Published on: May 8, 2018

Area of Science:

Medical Physics
Artificial Intelligence in Medicine
Radiation Oncology

Background:

Dynamic tumor tracking in radiation therapy necessitates real-time target location prediction.
Time latency in radiation beam delivery and gating tracking poses a challenge.

Purpose of the Study:

To develop a deep learning model for predicting internal tumor locations using external markers.
To improve real-time target tracking in radiation therapy by overcoming time latency.

Main Methods:

A temporal convolutional neural network (TCNN) model was developed to predict internal target locations.
The model was trained and tested using respiratory signals from 69 treatment fractions of 21 cancer patients treated with CyberKnife Synchrony.
Performance was evaluated by comparing root mean square errors (RMSEs) against a long short-term memory (LSTM) model and investigating the impact of external marker count.

Main Results:

The TCNN model achieved average RMSEs of 0.49 mm (superior-inferior), 0.28 mm (anterior-posterior), 0.25 mm (left-right), and 0.67 mm (3D) for predicted respiratory motion 400 ms ahead.
Submillimeter accuracy was demonstrated in predicting respiratory signals.

Conclusions:

The developed temporal convolutional neural network-based model can predict respiratory signals with submillimeter accuracy.
This predictive capability is crucial for enhancing real-time tumor tracking and reducing latency in radiation therapy.