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Proceedings Paper

Patient-specific liver deformation modeling for tumor tracking
Author(s): Young-Taek Oh; Youngkyoo Hwang; Jung-Bae Kim; Won-Chul Bang; James D. K. Kim; Chang Yeong Kim
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Paper Abstract

We present a new method for patient-specific liver deformation modeling for tumor tracking. Our method focuses on deforming two main blood vessels of the liver – hepatic and portal vein – to utilize them as features. A novel centerline editing algorithm based on ellipse fitting is introduced for vessel deformation. Centerline-based blood vessel model and various interpolation methods are often used for generating a deformed model at the specific time t. However, it may introduce artifacts when models used in interpolation are not consistent. One of main reason of this inconsistency is the location of bifurcation points differs from each image. To solve this problem, our method generates a base model from one of patient’s CT images. Next, we apply a rigid iterative closest point (ICP) method to the base model with centerlines of other images. Because the transformation is rigid, the length of each vessel’s centerline is preserved while some part of the centerline is slightly deviated from centerlines of other images. We resolve this mismatch using our centerline editing algorithm. Finally, we interpolate three deformed models of liver, blood vessels, tumor using quadratic B´ezier curves. We demonstrate the effectiveness of the proposed approach with the real patient data.

Paper Details

Date Published: 14 March 2013
PDF: 7 pages
Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86711N (14 March 2013); doi: 10.1117/12.2007884
Show Author Affiliations
Young-Taek Oh, Samsung Advanced Institute of Technology (Korea, Republic of)
Youngkyoo Hwang, 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)
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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