Reconstruction of 3D geometric models of pulmonary arteries from cardiac CT images

C. C. Yu; Yu-Tai Ching; S. J. Chen

doi:10.1117/12.463619

Reconstruction of 3D geometric models of pulmonary arteries from cardiac CT images

C. C. Yu, Yu-Tai Ching^*, S. J. Chen

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Conference article › peer-review

Abstract

We present a method to construct the geometric model of the pulmonary arteries from a set of cardiac CT scan images. It is desired that the model is in rectangular meshes. The main difficulties in this work are insufficient resolution along z-direction, the requirement of the rectangular meshes, and the geometric shape of the pulmonary arteries. We present a method that is based on estimation the medial axis and the radii of the vessel along the axis. We evaluate the proposed method using a phantom data set. The proposed method can achieve good reconstructed result for the phantom data set.

Original language	English
Pages (from-to)	492-499
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4683
DOIs	https://doi.org/10.1117/12.463619
State	Published - 1 Jan 2002
Event	Medical Imaging 2002: Physiology and Function from Multidimensional Images - San Diego, CA, United States Duration: 24 Feb 2002 → 26 Feb 2002

Keywords

3D geometric model
CT scan
Pulmonary arteries
Spline curve

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title = "Reconstruction of 3D geometric models of pulmonary arteries from cardiac CT images",

abstract = "We present a method to construct the geometric model of the pulmonary arteries from a set of cardiac CT scan images. It is desired that the model is in rectangular meshes. The main difficulties in this work are insufficient resolution along z-direction, the requirement of the rectangular meshes, and the geometric shape of the pulmonary arteries. We present a method that is based on estimation the medial axis and the radii of the vessel along the axis. We evaluate the proposed method using a phantom data set. The proposed method can achieve good reconstructed result for the phantom data set.",

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T1 - Reconstruction of 3D geometric models of pulmonary arteries from cardiac CT images

AU - Yu, C. C.

AU - Ching, Yu-Tai

AU - Chen, S. J.

PY - 2002/1/1

Y1 - 2002/1/1

N2 - We present a method to construct the geometric model of the pulmonary arteries from a set of cardiac CT scan images. It is desired that the model is in rectangular meshes. The main difficulties in this work are insufficient resolution along z-direction, the requirement of the rectangular meshes, and the geometric shape of the pulmonary arteries. We present a method that is based on estimation the medial axis and the radii of the vessel along the axis. We evaluate the proposed method using a phantom data set. The proposed method can achieve good reconstructed result for the phantom data set.

AB - We present a method to construct the geometric model of the pulmonary arteries from a set of cardiac CT scan images. It is desired that the model is in rectangular meshes. The main difficulties in this work are insufficient resolution along z-direction, the requirement of the rectangular meshes, and the geometric shape of the pulmonary arteries. We present a method that is based on estimation the medial axis and the radii of the vessel along the axis. We evaluate the proposed method using a phantom data set. The proposed method can achieve good reconstructed result for the phantom data set.

KW - 3D geometric model

KW - CT scan

KW - Pulmonary arteries

KW - Spline curve

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U2 - 10.1117/12.463619

DO - 10.1117/12.463619

M3 - Conference article

AN - SCOPUS:0036033217

VL - 4683

SP - 492

EP - 499

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

SN - 0277-786X

Y2 - 24 February 2002 through 26 February 2002

ER -

Reconstruction of 3D geometric models of pulmonary arteries from cardiac CT images

Abstract

Keywords

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