Respiratory Motion Tracking
Respiratory Motion Tracking - Related Videos
08:22
3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
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Cited by 1 •
2025
The proposed setup allows controlled mechanical ventilation and Magnetic Resonance imaging of 3D thorax movement in mice and rats. We have used this setup to study the pathophysiology underlying mechanical ventilation-induced respiratory muscle dysfunction.
07:24
Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
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2025
The methodology explored visual and vestibular contributions to gaze stabilization during optokinetic and whole-body rotations. Stimulations were carried out through visual, vestibular, and visuovestibular trials. Torsional eye-movement gain and nystagmus frequencies served as indicators for the subcortical relay of sensory-specific motion information towards the reflexive brainstem response for each trial.
10:12
Newton's Laws of Motion
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2023
Source: Andrew Duffy, PhD, Department of Physics, Boston University, Boston, MA This experiment examines at various situations involving two interacting objects. First, the experiment examines the forces that two objects apply to one another while they collide. The objects are wheeled carts that have variable masses. The purpose of this experiment is to discover when the force the first cart exerts on the other is the same magnitude as the force the second cart exerts back on the first, as well...
06:53
Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
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Cited by 2 •
2020
Amplitude-based optimal respiratory gating (ORG) effectively removes respiratory-induced motion blurring from clinical 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) images. Correction of FDG-PET images for these respiratory motion artefacts improves image quality, diagnostic and quantitative accuracy. Removal of respiratory motion artefacts is important for adequate clinical management of patients using PET.
08:17
Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
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Cited by 9 •
2015
Stereotactic ablative body radiation therapy (SBRT) involves the precise delivery of high-dose radiation to cancer tumor targets. A novel SBRT platform offers a first-of-its-kind gimbaled radiation accelerator mounted within a pivoting O-ring gantry capable of dynamic image-guided tumor tracking. Here, we describe dynamic tumor tracking for lung targets.
FAQs
Tracking systems relate anatomical position to a patient’s breathing cycle by analyzing time-resolved medical images or external respiratory signals. This relationship allows the system to estimate respiratory phase and identify how structures in the chest or abdomen shift over time. The resulting motion model provides a basis for synchronizing image acquisition or treatment with selected portions of the cycle.
Time-resolved images and external signals provide complementary ways to characterize breathing-related motion. Images show changes in anatomical position directly, whereas external signals represent respiratory activity and can support phase estimation. Using either source, or relating both when appropriate, helps clinicians choose a motion-tracking strategy suited to localization, cycle synchronization, or assessment of moving anatomy.
Respiratory phase estimation identifies where a patient is within the breathing cycle when an image is acquired or therapy is delivered. This timing helps coordinate clinical actions with the changing position of thoracic and abdominal structures. By reducing uncertainty about when anatomy is located at a particular position, phase information can improve localization and support more precise interventions.
A typical workflow collects time-resolved medical images or an external respiratory signal, examines changes associated with breathing, and estimates the patient’s respiratory phase. The resulting information can then be used to synchronize imaging or therapy with the cycle. This sequence converts breathing-related observations into a motion estimate that clinicians can apply to diagnosis, treatment planning, or image guidance.
For four-dimensional imaging, motion information adds a time-related description to anatomical images. Tracking helps associate observed anatomy with different points in the breathing cycle, allowing clinicians to assess how structures move rather than relying only on a static position. This is particularly relevant when evaluating disease or planning care for organs affected by thoracic or abdominal motion.
In radiotherapy, respiratory motion tracking provides information about the changing position of treatment-relevant anatomy during breathing. Therapy can be synchronized with the patient’s cycle or adjusted through motion-compensated approaches, reducing motion-related uncertainty. This supports more reliable localization of moving targets and can help clinicians pursue treatment precision while limiting the effects of anatomical movement.
Respiratory motion tracking is useful when image-guided procedures involve moving organs such as the lungs or liver. Monitoring breathing-related displacement helps clinicians interpret anatomy at the appropriate respiratory phase and account for changes during guidance. The same information can support safer interventions by improving localization and reducing uncertainty caused by motion during the procedure.