Breath Tracking using a Depth Camera for XV Scanner

Dale

The XV Scanner™ is the world’s only fully dedicated X-ray lung function scanner, designed to do something completely unique–capture a single, full-breath cycle in motion, from four different angles simultaneously.

To optimise the scanning procedure, it is desirable to have a real-time, non-contact method for monitoring the patient’s breathing. This project is focused on the development of a depth-camera based breath tracking method/algorithm to extract a highly dependable, real-time breath trace from a seated patient. As the breath trace may be used for automatically initiating and terminating X-ray exposures during the patient’s breathing cycle.

The project will collaborate with 4DMedical and require considering the following:

Exploring the integration of machine learning techniques with traditional computer vision algorithms.
Consideration of camera positioning, geometry and utilisation of multiple cameras.
Designing to handle factors such as patient size, shape, and non-breath related movements.
Real-time signal processing and filtering to optimise the breath trace output.
Testing and evaluation of the preferred approaches performance and reliability.

Supervisor: Bin Chen, Lingyan Ruan

https://4dmedical.com/products/hardware/xv-scanner/

侧重点

goal: real-time, handle factors
factors: patient size, shape, and non-breath related movements. cloth
resource: SLURM, HPC, depth camera, linux device
method: first traditional (cpp), then deep learning
output: breath trace/circle/curve

Breath Tracking using a Depth Camera for XV Scanner

侧重点

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