利用统计复杂性特征评估生物自组织模式:扩散张量成像分析工具。

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Magnetic Resonance Materials in Physics, Biology and Medicine Pub Date : 2024-07-28 DOI:10.1007/s10334-024-01185-4
Antonio Carlos da S Senra Filho, Luiz Otávio Murta Junior, André Monteiro Paschoal
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引用次数: 0

摘要

目的:弥散加权成像(DWI)和弥散张量成像(DTI)是众所周知的磁共振成像的强大成像技术。尽管近年来 DTI 评估技术不断发展,但在定量测量方面仍存在争议,因为定量测量难以惠及基于弥散方法测量的脑区,如灰质(GM)。本研究提出了一种基于 López-Ruiz、Mancini 和 Calbet(LMC)复杂度扩散分布评估的新图像处理技术,称为扩散复杂度(DC):使用了 OASIS-3 和 TractoInferno 健康人开放科学数据库,所有代码均作为开源材料提供:DC图显示了脑组织和结构的相关信号特征,与FA图和ADC图相比,对比度-噪声比(CNR)分别提高了约39%和93%:讨论:在 GM 组织的特殊情况下,DC 图获得了最大信号水平,显示了研究对经典 DTI 定量形式具有挑战性的皮层和皮层下结构的可能性。应用 DC 技术需要与 DTI 相同的成像采集,而且它有可能为研究大脑 GM 结构提供补充信息,这为进一步的神经科学研究和临床实践提供了丰富的信息来源。
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Assessing biological self-organization patterns using statistical complexity characteristics: a tool for diffusion tensor imaging analysis.

Object: Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are well-known and powerful imaging techniques for MRI. Although DTI evaluation has evolved continually in recent years, there are still struggles regarding quantitative measurements that can benefit brain areas that are consistently difficult to measure via diffusion-based methods, e.g., gray matter (GM). The present study proposes a new image processing technique based on diffusion distribution evaluation of López-Ruiz, Mancini and Calbet (LMC) complexity called diffusion complexity (DC).

Materials and methods: The OASIS-3 and TractoInferno open-science databases for healthy individuals were used, and all the codes are provided as open-source materials.

Results: The DC map showed relevant signal characterization in brain tissues and structures, achieving contrast-to-noise ratio (CNR) gains of approximately 39% and 93%, respectively, compared to those of the FA and ADC maps.

Discussion: In the special case of GM tissue, the DC map obtains its maximum signal level, showing the possibility of studying cortical and subcortical structures challenging for classical DTI quantitative formalism. The ability to apply the DC technique, which requires the same imaging acquisition for DTI and its potential to provide complementary information to study the brain's GM structures, can be a rich source of information for further neuroscience research and clinical practice.

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来源期刊
CiteScore
4.60
自引率
0.00%
发文量
58
审稿时长
>12 weeks
期刊介绍: MAGMA is a multidisciplinary international journal devoted to the publication of articles on all aspects of magnetic resonance techniques and their applications in medicine and biology. MAGMA currently publishes research papers, reviews, letters to the editor, and commentaries, six times a year. The subject areas covered by MAGMA include: advances in materials, hardware and software in magnetic resonance technology, new developments and results in research and practical applications of magnetic resonance imaging and spectroscopy related to biology and medicine, study of animal models and intact cells using magnetic resonance, reports of clinical trials on humans and clinical validation of magnetic resonance protocols.
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