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Updated: Jun 25, 2026

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
Published on: January 18, 2021
Three-dimensional blood vessel quantification via centerline deformation
Dong-Goo Kang1, Dae Chul Suh, Jong Beom Ra
1Division of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-701, Republic of Korea. donggoo@gmail.com
Insights
This study introduces a novel active tube model for accurate vessel quantification. The method improves geometric parameter measurement in abnormal vessels, aiding clinical treatment decisions.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Computational Anatomy
Background:
- Accurate quantification of abnormal vessel geometry is crucial for clinical decision-making.
- Traditional methods using centerlines can be inaccurate for stenotic or aneurysmal vessels.
Purpose of the Study:
- To develop and validate a novel active tube model for improved vessel quantification.
- To address limitations of standard centerline-based measurements in abnormal vasculature.
Main Methods:
- A deformable tube model is registered to the vessel lumen, using a smoothed centerline as its axis.
- Vessel regions are classified (normal, stenotic, aneurysmal) using a cross-sectional distance field.
- Region-adaptive energy functionals guide the registration process.
Main Results:
- The active tube model provides more accurate vessel quantification than original centerlines.
- The registered model effectively measures the volume of aneurysmal regions.
- Validation performed on 3D phantoms and digital subtraction angiography (DSA) datasets.
Conclusions:
- The proposed active tube model offers superior geometric parameter quantification for abnormal vessels.
- This method enhances the accuracy of measurements for clinical applications, including aneurysm volume assessment.
- The validated approach shows promise for improving diagnostic and therapeutic planning in vascular imaging.
Abstract:
It is clinically important to quantify the geometric parameters of an abnormal vessel, as this information can aid radiologists in choosing appropriate treatments or apparatuses. Centerline and cross-sectional diameters are commonly used to characterize the morphology of vessel in various clinical applications. Due to the existence of stenosis or aneurysm, the associated vessel centerline is unable to truly portray the original, healthy vessel shape and may result in inaccurate quantitative measurement. To remedy such a problem, a novel method using an active tube model is proposed. In the method, a smoothened centerline is determined as the axis of a deformable tube model that is registered onto the vessel lumen. Three types of regions, normal, stenotic, and aneurysmal regions, are defined to classify the vessel segment under-analyzed by use of the algorithm of a cross-sectional-based distance field. The registration process used on the tube model is governed by different region-adaptive energy functionals associated with the classified vessel regions. The proposed algorithm is validated on the 3-D computer-generated phantoms and 3-D rotational digital subtraction angiography (DSA) datasets. Experimental results show that the deformed centerline provides better vessel quantification results compared with the original centerline. It is also shown that the registered model is useful for measuring the volume of aneurysmal regions.
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