Ultrasound image-based respiratory motion tracking

Youngkyoo Hwang; Jung-Bae Kim; Yong Sun Kim; Won-Chul Bang; James D. K. Kim; ChangYeong Kim

doi:10.1117/12.911766

28 February 2012 Ultrasound image-based respiratory motion tracking

Youngkyoo Hwang, Jung-Bae Kim, Yong Sun Kim, Won-Chul Bang, James D. K. Kim, ChangYeong Kim

Author Affiliations +

Proceedings Volume 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy; 83200N (2012) https://doi.org/10.1117/12.911766
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

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.

Citation Download Citation

Youngkyoo Hwang, Jung-Bae Kim, Yong Sun Kim, Won-Chul Bang, James D. K. Kim, and ChangYeong Kim "Ultrasound image-based respiratory motion tracking", Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 83200N (28 February 2012); https://doi.org/10.1117/12.911766

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