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三维迂曲度计算作为一种形状描述符及其在脑结构分析中的应用。

3D Tortuosity computation as a shape descriptor and its application to brain structure analysis.

机构信息

Graduate Program in Computer Science and Engineering, Universidad Nacional Autónoma de México, Mexico City, México.

Institute of Research in Applied Mathematics and Systems (IIMAS), Universidad Nacional Autónoma de México, Circuito Escolar 3000, Ciudad Universitaria, 04510, Coyoacán, Mexico City, México.

出版信息

BMC Med Imaging. 2024 Jun 4;24(1):130. doi: 10.1186/s12880-024-01312-6.

DOI:10.1186/s12880-024-01312-6
PMID:38834987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11149256/
Abstract

In this study, we propose a novel method for quantifying tortuosity in 3D voxelized objects. As a shape characteristic, tortuosity has been widely recognized as a valuable feature in image analysis, particularly in the field of medical imaging. Our proposed method extends the two-dimensional approach of the Slope Chain Code (SCC) which creates a one-dimensional representation of curves. The utility of 3D tortuosity ( ) as a shape descriptor was investigated by characterizing brain structures. The results of the computation on the central sulcus and the main lobes revealed significant differences between Alzheimer's disease (AD) patients and control subjects, suggesting its potential as a biomarker for AD. We found a for the left central sulcus and the four brain lobes.

摘要

在这项研究中，我们提出了一种新的方法来量化三维体素化物体的迂曲度。迂曲度作为一种形状特征，已被广泛认为是图像分析，特别是医学成像领域中一个有价值的特征。我们提出的方法扩展了二维斜率链码（SCC）的方法，该方法创建了曲线的一维表示。通过对脑结构进行特征化，研究了 3D 迂曲度（ ）作为形状描述符的效用。在对中央沟和主要脑叶的 计算结果表明，阿尔茨海默病（AD）患者和对照组之间存在显著差异，表明其有作为 AD 生物标志物的潜力。我们发现左中央沟和四个脑叶的 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/5f7f4e67a644/12880_2024_1312_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/9441b8f7cb3c/12880_2024_1312_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/c8d3c604b6b8/12880_2024_1312_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/ba143ce42d04/12880_2024_1312_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/6035377732ff/12880_2024_1312_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/bae1411ef167/12880_2024_1312_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/ba82972e1077/12880_2024_1312_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/5f7f4e67a644/12880_2024_1312_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/9441b8f7cb3c/12880_2024_1312_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/c8d3c604b6b8/12880_2024_1312_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/ba143ce42d04/12880_2024_1312_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/6035377732ff/12880_2024_1312_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/bae1411ef167/12880_2024_1312_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/ba82972e1077/12880_2024_1312_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d26f/11149256/5f7f4e67a644/12880_2024_1312_Fig7_HTML.jpg

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本文引用的文献

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A novel voxel-based method to estimate cortical sulci width and its application to compare patients with Alzheimer's disease to controls.一种基于体素的新方法来估计脑回宽度及其在比较阿尔茨海默病患者与对照组中的应用。
Neuroimage. 2020 Feb 15;207:116343. doi: 10.1016/j.neuroimage.2019.116343. Epub 2019 Nov 14.
2
3D structural complexity analysis of cerebellum in Chiari malformation type I.小脑 Chiari 畸形 I 型的 3D 结构复杂性分析。
Med Biol Eng Comput. 2017 Dec;55(12):2169-2182. doi: 10.1007/s11517-017-1661-7. Epub 2017 Jun 7.
3
Fast Contour-Tracing Algorithm Based on a Pixel-Following Method for Image Sensors.
基于像素跟踪法的图像传感器快速轮廓跟踪算法
Sensors (Basel). 2016 Mar 9;16(3):353. doi: 10.3390/s16030353.
4
Measurement of retinal vascular tortuosity and its application to retinal pathologies.视网膜血管迂曲度的测量及其在视网膜病变中的应用。
Med Biol Eng Comput. 2010 Jan;48(1):87-95. doi: 10.1007/s11517-009-0559-4. Epub 2009 Dec 11.
5
Measurement of tortuosity in aluminum foams using airborne ultrasound.利用空气传播超声测量泡沫铝的曲折度。
Ultrasonics. 2010 Jan;50(1):1-5. doi: 10.1016/j.ultras.2009.07.011. Epub 2009 Aug 7.
6
A novel method for the automatic grading of retinal vessel tortuosity.一种用于视网膜血管迂曲度自动分级的新方法。
IEEE Trans Med Imaging. 2008 Mar;27(3):310-9. doi: 10.1109/TMI.2007.904657.
7
Measuring tortuosity of the intracerebral vasculature from MRA images.从磁共振血管造影（MRA）图像测量脑内血管的迂曲度。
IEEE Trans Med Imaging. 2003 Sep;22(9):1163-71. doi: 10.1109/TMI.2003.816964.
8
Dynamics of gray matter loss in Alzheimer's disease.阿尔茨海默病中灰质丢失的动态变化。
J Neurosci. 2003 Feb 1;23(3):994-1005. doi: 10.1523/JNEUROSCI.23-03-00994.2003.
9
Detection of grey matter loss in mild Alzheimer's disease with voxel based morphometry.基于体素的形态测量法检测轻度阿尔茨海默病中的灰质萎缩
J Neurol Neurosurg Psychiatry. 2002 Dec;73(6):657-64. doi: 10.1136/jnnp.73.6.657.
10
Three-dimensional visualization and analysis methodologies: a current perspective.三维可视化与分析方法：当前视角
Radiographics. 1999 May-Jun;19(3):783-806. doi: 10.1148/radiographics.19.3.g99ma13783.