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Proceedings Paper

Real-time tumor tracking in B-mode images using respiratory signal and deformed liver models
Author(s): Youngkyoo Hwang; Young-Taek Oh; Jung-Bae Kim; Won-Chul Bang; Heesae Lee; James D.K. Kim; Chang Yeong Kim
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Paper Abstract

Tumor tracking is very important to deal with a cancer in a moving organ in clinical applications such as radiotherapy, HIFU etc. Respiratory monitoring systems are widely used to find location of the cancers in the organs because respiratory signal is highly correlated with the movement of organs such as the lungs and liver. However the conventional respiratory system doesn’t have enough accuracy to track the location of a tumor as well as they need additional effort or devices to use. In this paper, we propose a novel method to track a liver tumor in real time by extracting respiratory signals directly from B-mode images and using a deformed liver model generated from CT images of the patient. Our method has several advantages. 1) There is no additional radiation dose and is cost effective due to use of an ultrasound device. 2) A high quality respiratory signal can be directly extracted from 2D images of the diaphragm. 3) Using a deformed liver model to track a tumor’s 3D position, our method has an accuracy of 3.79mm in tracking error.

Paper Details

Date Published: 15 March 2013
PDF: 6 pages
Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86711Q (15 March 2013); doi: 10.1117/12.2007857
Show Author Affiliations
Youngkyoo Hwang, Samsung Advanced Institute of Technology (Korea, Republic of)
Young-Taek Oh, Samsung Advanced Institute of Technology (Korea, Republic of)
Jung-Bae Kim, Samsung Advanced Institute of Technology (Korea, Republic of)
Won-Chul Bang, Samsung Advanced Institute of Technology (Korea, Republic of)
Heesae Lee, Samsung Advanced Institute of Technology (Korea, Republic of)
James D.K. Kim, Samsung Advanced Institute of Technology (Korea, Republic of)
Chang Yeong Kim, Samsung Advanced Institute of Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 8671:
Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling
David R. Holmes; Ziv R. Yaniv, Editor(s)

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