Cargando…
The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources
Background: Carotid plaque morphology and tissue composition help assess risk stratification of stroke events. Many post-processing image techniques based on CT and MR images have been widely used in related research, such as image segmentation, 3D reconstruction, and computer fluid dynamics. Howeve...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085352/ https://www.ncbi.nlm.nih.gov/pubmed/33935800 http://dx.doi.org/10.3389/fphys.2021.645438 |
_version_ | 1783686320266149888 |
---|---|
author | Deng, Fengbin Mu, Changping Yang, Ling Yi, Rongqi Gu, Min Li, Kang |
author_facet | Deng, Fengbin Mu, Changping Yang, Ling Yi, Rongqi Gu, Min Li, Kang |
author_sort | Deng, Fengbin |
collection | PubMed |
description | Background: Carotid plaque morphology and tissue composition help assess risk stratification of stroke events. Many post-processing image techniques based on CT and MR images have been widely used in related research, such as image segmentation, 3D reconstruction, and computer fluid dynamics. However, the criteria for the 3D numerical model of carotid plaque established by CT and MR angiographic image data remain open to questioning. Method: We accurately duplicated the geometry and simulated it using computer software to make a 3D numerical model. The initial images were obtained by CTA and TOF-MRA. MIMICS (Materialize’s interactive medical image control system) software was used to process the images to generate three-dimensional solid models of blood vessels and plaques. The subsequent output was exported to the ANSYS software to generate finite element simulation results for the further hemodynamic study. Results: The 3D models of carotid plaque of TOF-MRA and CTA were simulated by using computer software. CTA has a high-density resolution for carotid plaque, the boundary of the CTA image is obvious, and the main component of which is a calcified tissue. However, the density resolution of TOF-MRA for the carotid plaque and carotid artery was not as good as that of CTA. The results show that there is a large deviation between the TOF-MRA and CTA 3D model of plaque in the carotid artery due to the unclear recognition of plaque boundary during 3D reconstruction, and this can further affect the simulation results of hemodynamics. Conclusion: In this study, two-dimensional images and three-dimensional models of carotid plaques obtained by two angiographic techniques were compared. The potential of these two imaging methods in clinical diagnosis and fluid dynamics of carotid plaque was evaluated, and the selectivity of image post-processing analysis to original medical image acquisition was revealed. |
format | Online Article Text |
id | pubmed-8085352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80853522021-05-01 The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources Deng, Fengbin Mu, Changping Yang, Ling Yi, Rongqi Gu, Min Li, Kang Front Physiol Physiology Background: Carotid plaque morphology and tissue composition help assess risk stratification of stroke events. Many post-processing image techniques based on CT and MR images have been widely used in related research, such as image segmentation, 3D reconstruction, and computer fluid dynamics. However, the criteria for the 3D numerical model of carotid plaque established by CT and MR angiographic image data remain open to questioning. Method: We accurately duplicated the geometry and simulated it using computer software to make a 3D numerical model. The initial images were obtained by CTA and TOF-MRA. MIMICS (Materialize’s interactive medical image control system) software was used to process the images to generate three-dimensional solid models of blood vessels and plaques. The subsequent output was exported to the ANSYS software to generate finite element simulation results for the further hemodynamic study. Results: The 3D models of carotid plaque of TOF-MRA and CTA were simulated by using computer software. CTA has a high-density resolution for carotid plaque, the boundary of the CTA image is obvious, and the main component of which is a calcified tissue. However, the density resolution of TOF-MRA for the carotid plaque and carotid artery was not as good as that of CTA. The results show that there is a large deviation between the TOF-MRA and CTA 3D model of plaque in the carotid artery due to the unclear recognition of plaque boundary during 3D reconstruction, and this can further affect the simulation results of hemodynamics. Conclusion: In this study, two-dimensional images and three-dimensional models of carotid plaques obtained by two angiographic techniques were compared. The potential of these two imaging methods in clinical diagnosis and fluid dynamics of carotid plaque was evaluated, and the selectivity of image post-processing analysis to original medical image acquisition was revealed. Frontiers Media S.A. 2021-04-16 /pmc/articles/PMC8085352/ /pubmed/33935800 http://dx.doi.org/10.3389/fphys.2021.645438 Text en Copyright © 2021 Deng, Mu, Yang, Yi, Gu and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Deng, Fengbin Mu, Changping Yang, Ling Yi, Rongqi Gu, Min Li, Kang The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources |
title | The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources |
title_full | The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources |
title_fullStr | The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources |
title_full_unstemmed | The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources |
title_short | The Differentiation in Image Post-processing and 3D Reconstruction During Evaluation of Carotid Plaques From MR and CT Data Sources |
title_sort | differentiation in image post-processing and 3d reconstruction during evaluation of carotid plaques from mr and ct data sources |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085352/ https://www.ncbi.nlm.nih.gov/pubmed/33935800 http://dx.doi.org/10.3389/fphys.2021.645438 |
work_keys_str_mv | AT dengfengbin thedifferentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT muchangping thedifferentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT yangling thedifferentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT yirongqi thedifferentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT gumin thedifferentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT likang thedifferentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT dengfengbin differentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT muchangping differentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT yangling differentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT yirongqi differentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT gumin differentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources AT likang differentiationinimagepostprocessingand3dreconstructionduringevaluationofcarotidplaquesfrommrandctdatasources |