ArticleSensors (Basel, Switzerland)2017
Real-Time External Respiratory Motion Measuring Technique Using an RGB-D Camera and Principal Component Analysis.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 49 citations in OpenAlex.
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- Motion correction in CBCT imaging using gate-less model-based reconstruction of non-rigid motion and images.Medical physics · 2025Article
- Point Cloud Fusion of Human Respiratory Motion Under Multi-View Time-of-Flight Camera System: Voxelization Method Using 2D Voxel Block Index.Sensors (Basel, Switzerland) · 2025Article
- Real-Time Current Volume Estimation System from an Azure Kinect Camera in Pediatric Intensive Care: Technical Development.Sensors (Basel, Switzerland) · 2025Article
- For a clinical application of optical triangulation to assess respiratory rate using an RGB camera and a line laser.BMC medical imaging · 2024Article
- Review of robotic systems for thoracoabdominal puncture interventional surgery.APL bioengineering · 2024Review
- Current Research Status of Respiratory Motion for Thorax and Abdominal Treatment: A Systematic Review.Biomimetics (Basel, Switzerland) · 2024Review
- Analysis of emerging trends and hot spots in respiratory biomechanics from 2003 to 2022 based on CiteSpace.Frontiers in physiology · 2023Article
- A real-time camera-based adaptive breathing monitoring system.Medical & biological engineering & computing · 2021Article
- Automated Non-Contact Respiratory Rate Monitoring of Neonates Based on Synchronous Evaluation of a 3D Time-of-Flight Camera and a Microwave Interferometric Radar Sensor.Sensors (Basel, Switzerland) · 2021Article
- Noncontact Respiratory Monitoring Using Depth Sensing Cameras: A Review of Current Literature.Sensors (Basel, Switzerland) · 2021Review
- Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration.Sensors (Basel, Switzerland) · 2020Review
- Towards Breathing as a Sensing Modality in Depth-Based Activity Recognition.Sensors (Basel, Switzerland) · 2020Article
- respiTrack: Patient-specific real-time respiratory tumor motion prediction using magnetic tracking.International journal of computer assisted radiology and surgery · 2020Article
- Correlated Skin Surface and Tumor Motion Modeling for Treatment Planning in Robotic Radiosurgery.Frontiers in neurorobotics · 2020Article
- Physiological Validation of an Airborne Ultrasound Based Surface Motion Camera for a Contactless Characterization of Breathing Pattern in Humans.Frontiers in physiology · 2019Article
- Machine Learning Radiomics Model for External and Internal Respiratory Motion Correlation Prediction in Lung Tumor.Technology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate tracking and modeling of internal and external respiratory motion in the thoracic and abdominal regions of a human body is a highly discussed topic in external beam radiotherapy treatment. Errors in target/normal tissue delineation and dose calculation and the increment of the healthy tissues being exposed to high radiation doses are some of the unsolicited problems caused due to inaccurate tracking of the respiratory motion. Many related works have been introduced for respiratory motion modeling, but a majority of them highly depend on radiography/fluoroscopy imaging, wearable markers or surgical node implanting techniques. We, in this article, propose a new respiratory motion tracking approach by exploiting the advantages of an RGB-D camera. First, we create a patient-specific respiratory motion model using principal component analysis (PCA) removing the spatial and temporal noise of the input depth data. Then, this model is utilized for real-time external respiratory motion measurement with high accuracy. Additionally, we introduce a marker-based depth frame registration technique to limit the measuring area into an anatomically consistent region that helps to handle the patient movements during the treatment. We achieved a 0.97 correlation comparing to a spirometer and 0.53 mm average error considering a laser line scanning result as the ground truth. As future work, we will use this accurate measurement of external respiratory motion to generate a correlated motion model that describes the movements of internal tumors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.