在离体小鼠主动脉增强微ct扫描中动脉粥样硬化的自动定量。

IF 3.3 Q2 ENGINEERING, BIOMEDICAL International Journal of Biomedical Imaging Pub Date : 2021-09-20 eCollection Date: 2021-01-01 DOI:10.1155/2021/4998786
Vincent A Stadelmann, Gabrielle Boyd, Martin Guillot, Jean-Guy Bienvenu, Charles Glaus, Aurore Varela
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引用次数: 3

摘要

目的:虽然微ct对小鼠动脉粥样硬化病变的评估已被正式验证,但现有的图像处理方法仍未公开。我们旨在开发和验证基于磷钨酸增强微ct扫描的可重复图像处理工作流程,用于对整个小鼠主动脉的动脉粥样硬化病变进行体积量化。方法与结果:对42只WT和42只载脂蛋白E敲除小鼠主动脉进行扫描。采用双阈值算法对壁、管腔和斑块进行分割。通过体素计数计算主动脉和斑块体积,通过三角剖分计算病变表面。通过手工和组织学评价验证了结果。与野生型相比,基因敲除小鼠的斑块体积显著增加,在13周、18周和26周时,斑块与主动脉的体积比分别为0.3%、2.8%和9.8%。自动分割与人工分割相关(r 2≥0.89;P < 0.001)和组织学评价(r 2 > 0.96;P < 0.001)。结论:半自动工作流程能够以最少的手工工作快速定量小鼠动脉粥样硬化斑块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Automatic Quantification of Atherosclerosis in Contrast-Enhanced MicroCT Scans of Mouse Aortas Ex Vivo.

Objective: While microCT evaluation of atherosclerotic lesions in mice has been formally validated, existing image processing methods remain undisclosed. We aimed to develop and validate a reproducible image processing workflow based on phosphotungstic acid-enhanced microCT scans for the volumetric quantification of atherosclerotic lesions in entire mouse aortas. Approach and Results. 42 WT and 42 apolipoprotein E knockout mouse aortas were scanned. The walls, lumen, and plaque objects were segmented using dual-threshold algorithms. Aortic and plaque volumes were computed by voxel counting and lesion surface by triangulation. The results were validated against manual and histological evaluations. Knockout mice had a significant increase in plaque volume compared to wild types with a plaque to aorta volume ratio of 0.3%, 2.8%, and 9.8% at weeks 13, 18, and 26, respectively. Automatic segmentation correlated with manual (r 2 ≥ 0.89; p < .001) and histological evaluations (r 2 > 0.96; p < .001).

Conclusions: The semiautomatic workflow enabled rapid quantification of atherosclerotic plaques in mice with minimal manual work.

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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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