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SU‐E‐J‐158: A Prototype of a Real‐Time Respiratory Motion Monitoring System Using Microsoft Kinect Sensor
Author(s) -
Xia J,
Siochi R
Publication year - 2012
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4734996
Subject(s) - respiratory monitoring , motion (physics) , medical imaging , computer science , computer graphics (images) , computer vision , image sensor , medical physics , artificial intelligence , respiratory system , medicine , anatomy
Purpose: To investigate the feasibility of a low‐cost respiratory motion monitoring system based on the Microsoft Xbox Kinect sensor. Methods: We improved Kinect's inherent depth resolution from 1 cm to 1 mm via a motion magnification system. Using the Kinect software development kit, we programmed the Kinect to capture depth images and determine the average depth over a thoracic region of interest, viewed almost parallel to the subject's surface. Kinect respiratory traces (average depth vs time at a rate of 30 Hz) were acquired from four volunteers and compared with those simultaneously acquired using a commercially available strain gauge respiratory gating system. Results: The correlation coefficient (CC) between Kinect and strain gauge traces varied from 0.958 to 0.978, with a mean CC of 0.969. This strong correlation was also demonstrated by the joint probability distribution and visual inspection. Conclusions: This work demonstrates the feasibility of using the Kinect for respiratory motion tracking. Traces are similar to those of a clinically used strain gauge system. The Kinect‐based system provides a new and economical way to monitor respiratory motion.