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Proceedings Paper

3D deformable organ model based liver motion tracking in ultrasound videos
Author(s): Jung-Bae Kim; Youngkyoo Hwang; Young-Taek Oh; Won-Chul Bang; Heesae Lee; James D. K. Kim; Chang Yeong Kim
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Paper Abstract

This paper presents a novel method of using 2D ultrasound (US) cine images during image-guided therapy to accurately track the 3D position of a tumor even when the organ of interest is in motion due to patient respiration. Tracking is possible thanks to a 3D deformable organ model we have developed. The method consists of three processes in succession. The first process is organ modeling where we generate a personalized 3D organ model from high quality 3D CT or MR data sets captured during three different respiratory phases. The model includes the organ surface, vessel and tumor, which can all deform and move in accord with patient respiration. The second process is registration of the organ model to 3D US images. From 133 respiratory phase candidates generated from the deformable organ model, we resolve the candidate that best matches the 3D US images according to vessel centerline and surface. As a result, we can determine the position of the US probe. The final process is real-time tracking using 2D US cine images captured by the US probe. We determine the respiratory phase by tracking the diaphragm on the image. The 3D model is then deformed according to respiration phase and is fitted to the image by considering the positions of the vessels. The tumor’s 3D positions are then inferred based on respiration phase. Testing our method on real patient data, we have found the accuracy of 3D position is within 3.79mm and processing time is 5.4ms during tracking.

Paper Details

Date Published: 14 March 2013
PDF: 6 pages
Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86711P (14 March 2013); doi: 10.1117/12.2007865
Show Author Affiliations
Jung-Bae Kim, Samsung Advanced Institute of Technology (Korea, Republic of)
Youngkyoo Hwang, Samsung Advanced Institute of Technology (Korea, Republic of)
Young-Taek Oh, 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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