Share Email Print
cover

Proceedings Paper

Ultrasound image-based respiratory motion tracking
Author(s): Youngkyoo Hwang; Jung-Bae Kim; Yong Sun Kim; Won-Chul Bang; James D. K. Kim; ChangYeong Kim
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Respiratory motion tracking has been issues for MR/CT imaging and noninvasive surgery such as HIFU and radiotherapy treatment when we apply these imaging or therapy technologies to moving organs such as liver, kidney or pancreas. Currently, some bulky and burdensome devices are placed externally on skin to estimate respiratory motion of an organ. It estimates organ motion indirectly using skin motion, not directly using organ itself. In this paper, we propose a system that measures directly the motion of organ itself only using ultrasound image. Our system has automatically selected a window in image sequences, called feature window, which is able to measure respiratory motion robustly even to noisy ultrasound images. The organ's displacement on each ultrasound image has been directly calculated through the feature window. It is very convenient to use since it exploits a conventional ultrasound probe. In this paper, we show that our proposed method can robustly extract respiratory motion signal with regardless of reference frame. It is superior to other image based method such as Mutual Information (MI) or Correlation Coefficient (CC). They are sensitive to what the reference frame is selected. Furthermore, our proposed method gives us clear information of the phase of respiratory cycle such as during inspiration or expiration and so on since it calculate not similarity measurement like MI or CC but actual organ's displacement.

Paper Details

Date Published: 28 February 2012
PDF: 6 pages
Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 83200N (28 February 2012); doi: 10.1117/12.911766
Show Author Affiliations
Youngkyoo Hwang, Samsung Advanced Institute of Technology (Korea, Republic of)
Jung-Bae Kim, Samsung Advanced Institute of Technology (Korea, Republic of)
Yong Sun Kim, Samsung Advanced Institute of Technology (Korea, Republic of)
Won-Chul Bang, Samsung Advanced Institute of Technology (Korea, Republic of)
James D. K. Kim, Samsung Advanced Institute of Technology (Korea, Republic of)
ChangYeong Kim, Samsung Advanced Institute of Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 8320:
Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy
Johan G. Bosch; Marvin M. Doyley, Editor(s)

© SPIE. Terms of Use
Back to Top