Biocybernetics and Biomedical Engineering最新文献_第7页

An intelligent hemodynamic response analysis method to achieve prognosis and diagnosis of Huntington’s disease 一种智能血流动力学反应分析方法，实现亨廷顿病的预后和诊断

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-04-01 DOI: 10.1016/j.bbe.2025.04.003

Niloofar Fathalizade , Peyvand Ghaderyan

The development of a reliable and cost-effective Huntington’s disease (HD) detection is a challenging task due to non-specific clinical first symptoms. To address the challenge, this is the first study to comprehensively focus on proposing an automated HD detection system based on functional near-infrared spectroscopy (fNIRS) analysis through a standard decomposition technique and dynamic mapping neural networks. fNIRS is a highly cost-effective and more refined neuroimaging modality that noninvasively measures hemodynamic responses and neurovascular coupling mechanisms. Considering the non-stationary nature of the hemoglobin concentration changes, the proposed system has developed a new fNIRS-based biomarker of HD, namely time-varying singular value, to characterize the spatiotemporal characteristics of the oxyhemoglobin and deoxyhemoglobin signals. The classification has been performed using a support vector machine, recurrent neural network, and cascade forward neural network to discriminate healthy controls (HC) from presymptomatic (Pre-HD) or symptomatic HD (SHD) subjects. Moreover, in a comparative study, the effects of trajectory matrix size, clinical categories of HD, type of chromophores, and brain regions have been tested on the detection performance, separately.

To evaluate the proposed system, the fNIRS dataset of 12 Pre-HD, 15SHD, 29 HC for Pre-HD, and 33 HC for the SHD has been used. The method has achieved remarkable accuracy rates of 95.61% for Pre-HD vs. HC and 95.63% for SHD vs. HC. The comparative analysis leads to the outstanding performance of this system and its high robustness against affecting factors, providing a better trade-off between computational costs and detection performance.

由于亨廷顿舞蹈症（Huntington's disease，HD）的临床首发症状不具有特异性，因此开发可靠且经济高效的亨廷顿舞蹈症（HD）检测系统是一项极具挑战性的任务。为了应对这一挑战，本研究首次通过标准分解技术和动态映射神经网络，在功能性近红外光谱（fNIRS）分析的基础上，全面集中地提出了一种自动化的亨廷顿舞蹈症检测系统。fNIRS是一种极具成本效益且更加精细的神经成像模式，可无创地测量血流动力学反应和神经血管耦合机制。考虑到血红蛋白浓度变化的非稳态性，所提出的系统开发了一种新的基于 fNIRS 的 HD 生物标记，即时变奇异值，以描述氧合血红蛋白和脱氧血红蛋白信号的时空特征。利用支持向量机、递归神经网络和级联前向神经网络进行了分类，以区分健康对照组（HC）和无症状（Pre-HD）或有症状（SHD）的 HD 受试者。此外，在一项比较研究中，还分别测试了轨迹矩阵大小、HD 临床类别、发色团类型和脑区对检测性能的影响。为了评估所提出的系统，我们使用了 fNIRS 数据集，其中包括 12 个 Pre-HD、15 个 SHD、29 个 Pre-HD 的 HC 和 33 个 SHD 的 HC。该方法的准确率非常高，Pre-HD 与 HC 相比达到了 95.61%，SHD 与 HC 相比达到了 95.63%。对比分析结果表明，该系统性能卓越，对影响因素具有很高的鲁棒性，在计算成本和检测性能之间实现了更好的权衡。

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引用次数: 0

Visuo-tactile stimulated virtual mirror therapy (ViTaS-VMT) system for enhancing motor-related brain activities: Application on two amputees 视觉触觉刺激虚拟镜像治疗（ViTaS-VMT）系统增强运动相关的大脑活动：在两名截肢者的应用

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-04-01 DOI: 10.1016/j.bbe.2025.03.005

Minsu Song , In-Hyeog Jee , Seungho Kim , Hansol Lee , Hyun-Joo Lee , Jun-Uk Chu

To enhance the degenerated brain signal of amputees on motor area, a visuo-tactile stimulated virtual mirror therapy system was developed. The system consists of a motion-tracking glove, a vibration motor, and a monitor-integrated table. The system can provide virtual hand illusion for body agency and combine visuo-tactile stimulation to induce body ownership on the virtual hand. The virtual hand then mimics the healthy hand like mirror therapy, and subjects perform grasping with both hands while observing the mirrored virtual hand on the amputated side. The training lasted three days, including the gradual exposure to the system to measure the difference in brain activity on the first day. We measured electroencephalogram (EEG) during training, and functional magnetic resonance imaging (fMRI) of grasping was measured before and after the training. Two amputees volunteered for this preliminary study. Both participants showed changes in motor-related brain activity, with consistent increases in event-related desynchronization (ERD) amplitude, particularly in the supplementary motor area (SMA) and primary motor cortex. These findings suggest the system’s potential to enhance motor-related neural processes. We believe that the results of this preliminary study have provided evidence that the proposed system can reproduce the learning process and that brain activation can be improved by using the system. Based on the results, a future study will expand the number of subjects and the duration of training to provide a quantitative clinical evaluation of the proposed system.

为了增强截肢者运动区退化的脑信号，研制了一种视触觉刺激虚拟镜像治疗系统。该系统由一个运动跟踪手套、一个振动马达和一个监视器集成表组成。该系统可以为身体代理提供虚拟手幻觉，并结合视触觉刺激诱导虚拟手上的身体所有权。然后，虚拟手模仿健康的手，就像镜子治疗一样，受试者在观察截肢一侧的镜像虚拟手的同时，用双手抓握。训练持续了三天，包括在第一天逐渐接触该系统，以测量大脑活动的差异。训练时测量脑电（EEG），训练前后测量抓握功能磁共振成像（fMRI）。两名截肢者自愿参加这项初步研究。两名参与者都表现出与运动相关的大脑活动的变化，事件相关的去同步（ERD）幅度持续增加，特别是在辅助运动区（SMA）和初级运动皮层。这些发现表明，该系统具有增强运动相关神经过程的潜力。我们认为，这项初步研究的结果已经提供了证据，表明所提出的系统可以重现学习过程，并且通过使用该系统可以改善大脑的激活。基于结果，未来的研究将扩大受试者的数量和培训时间，以提供拟议系统的定量临床评估。

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引用次数: 0

Tailored 3D microphantoms: An essential tool for quantitative phase tomography analysis of organoids 量身定制的3D显微模型：类器官定量相位断层扫描分析的重要工具

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-04-01 DOI: 10.1016/j.bbe.2025.03.003

Michał Ziemczonok , Sylvia Desissaire , Jérémy Neri , Arkadiusz Kuś , Lionel Hervé , Cécile Fiche , Guillaume Godefroy , Marie Fackeure , Damien Sery , Wojciech Krauze , Kiran Padmanabhan , Chiara Paviolo , Małgorzata Kujawińska

We present a novel approach for benchmarking and validating quantitative phase tomography (QPT) systems using three-dimensional microphantoms. These microphantoms, crafted from biological and imaging data, replicate the optical and structural properties of multicellular biological samples. Their fabrication featuring refractive index modulation at sub-micrometer details is enabled by two-photon polymerization. We showcase the effectiveness of our technique via a round-robin test of healthy and tumoral liver organoid phantoms across three different QPT systems. This test reveals sample- and system-dependent errors in measuring dry mass and morphology. This approach constitutes a development of super phantoms for QPT — test objects that exist in both digital and physical form, replicate both the morphology and relevant aspects of physiology in specimens under healthy or diseased conditions, and underpin the assessment and refinement of imaging technologies and methodologies prior to clinical application.

我们提出了一种新的方法，用于基准测试和验证定量相断层扫描（QPT）系统使用三维显微成像。这些微型模型是根据生物和成像数据制作的，复制了多细胞生物样本的光学和结构特性。它们的制造具有亚微米级的折射率调制，是通过双光子聚合实现的。我们通过在三种不同的QPT系统中对健康和肿瘤肝类器官幻影进行循环测试，展示了我们技术的有效性。该测试揭示了在测量干质量和形貌时样品和系统相关的误差。这种方法构成了QPT超级幻影的发展-以数字和物理形式存在的测试对象，在健康或患病条件下复制标本的形态学和生理学相关方面，并在临床应用之前支持成像技术和方法的评估和改进。

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引用次数: 0

Observer-based linear state-dependent control for blood glucose regulation in type 1 diabetic patients with unknown delays 未知延迟的1型糖尿病患者血糖调节的基于观察者的线性状态依赖控制

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-03-05 DOI: 10.1016/j.bbe.2025.02.003

J. Castro-Gómez , B. Targui , O. Hernández-González , G. Valencia-Palomo , M.E. Guerrero-Sánchez

This paper presents a control strategy for blood glucose regulation in the presence of a time-varying delayed input, where the delay is unknown. The proposed control scheme is based on an observer-based linear state-dependent (LSD) (a subclass of the general linear parameter varying (LPV) framework) control with

H_{\infty}

criterion. This proposed control regulates glucose levels in response to meal intake. A novel LSD system representation is used to relax the inherent conservativeness of the nonlinear system. First, the observer achieves an estimate of the current state vector despite the delayed input, where the time-varying unknown delay can be relatively long. Thus, the control law will perform well in the presence of a long unknown delay. The observer-based control scheme is validated by considering different meal disturbances and unknown delay scenarios.

本文提出了一种针对时变延迟输入的血糖调节控制策略，其中延迟未知。该控制方案基于基于观测器的线性状态相关（LSD）控制（一般线性参数变化（LPV）框架的一个子类），具有H∞准则。这种建议的控制调节葡萄糖水平，以响应膳食摄入量。采用一种新颖的LSD系统表示来放松非线性系统固有的保守性。首先，观测器在输入延迟的情况下获得当前状态向量的估计，其中时变未知延迟可能相对较长。因此，控制律在存在较长的未知延迟时仍能很好地工作。通过考虑不同膳食干扰和未知延迟情况，验证了基于观测器的控制方案。

引用次数: 0

A feedback loop study of brain-heart interaction based on HEP and HRV 基于HEP和HRV的脑心相互作用反馈回路研究

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-02-28 DOI: 10.1016/j.bbe.2025.02.005

Shanshan Wang , Xiaoni Wang , Yuxin Zhao, Lin Xie, Jianbao Zhang

Although growing evidences suggest heartbeat evoked potential (HEP) as a biomarker of interoception, little is known about how HEP is related to cardiovascular function. In the article, mental arithmetic and meditation tasks that respectively activate sympathetic and parasympathetic activities were designed, and electroencephalogram and cardiovascular parameters were recorded in healthy young males. Our findings revealed a decrease in HEP during mental arithmetic and an increase during meditation. A correlation between HEP and blood pressure was also observed, indicating that baroreceptor stretch may contribute to HEP generation. Furthermore, HEP showed a positive correlation with parasympathetic activity and a negative correlation with sympathetic activity. Collectively, these results suggest the presence of a potential negative feedback loop between the brain and heart, mediated by HEP.

尽管越来越多的证据表明心跳诱发电位（HEP）是内感受的生物标志物，但HEP与心血管功能的关系尚不清楚。本文设计了心算和冥想任务，分别激活交感神经和副交感神经活动，并记录了健康青年男性的脑电图和心血管参数。我们的研究结果表明，在心算过程中HEP会下降，而在冥想过程中则会增加。HEP和血压之间的相关性也被观察到，表明压力感受器拉伸可能有助于HEP的产生。此外，HEP与副交感神经活动呈正相关，与交感神经活动负相关。总的来说，这些结果表明，在HEP介导的大脑和心脏之间存在潜在的负反馈循环。

引用次数: 0

A multidomain 0D model for continuous positive airway pressure ventilation circuit design: Validation and applications 持续气道正压通气回路设计的多域0D模型：验证与应用

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-02-27 DOI: 10.1016/j.bbe.2025.02.004

Andrea Formaggio , Margherita De Luca , Simone Borrelli , Giovanni Putame , Nello De Vita , Fabio Minelli , Francesco Della Corte , Rosanna Vaschetto , Alberto L. Audenino , Carlo Olivieri , Mara Terzini

This study focuses on optimizing a non-invasive ventilation (NIV) circuit for the treatment of hypoxemic respiratory failure using continuous positive airway pressure (CPAP). A multidomain 0D in silico approach was employed, creating a lumped circuit model of an innovative NIV-CPAP system in Mathworks® Simulink. The model relies on in vitro tests on commercial components characterizing pneumatic resistive behavior, and it exploits an extended resistance-inductance-capacitance model for the patient’s respiratory system, recurring to sigmoidal pressure–volume behavior characteristic of pathological conditions. The NIV-CPAP system was assembled in vitro and connected to a lung simulator to validate the model under healthy and pathological conditions (acute respiratory distress syndrome and chronic obstructive pulmonary disease). The study explored the impact of key features on the ventilation circuit, such as interface leakage, air volume within the circuit, and resistance induced by circuit components.

Validation of the 0D model through in vitro tests showed correlation coefficients between 0.9 and 1. Interface leakage caused reductions of up to 6% in delivered static pressure. Changes in air volume (mask or helmet interface, reservoirs adding) resulted in a maximum 8% decrease in pressure oscillations. Increased resistances from the starting ventilation circuit produced a tidal volume reduction of less than 1%. An optimized configuration that balanced resistances between limbs improved intrinsic positive end-expiratory pressure generation.

The proposed 0D model proved to be effective in guiding the design of the innovative device, providing computational efficiency and flexibility; it demonstrated its reliability as a tool to support the optimization of non-invasive ventilation circuits.

本研究的重点是优化使用持续气道正压通气（CPAP）治疗低氧性呼吸衰竭的无创通气（NIV）回路。采用多域0 - d芯片方法，在Mathworks®Simulink中创建了创新NIV-CPAP系统的集总电路模型。该模型依赖于表征气动电阻行为的商业组件的体外测试，并利用患者呼吸系统的扩展电阻-电感-电容模型，重现病理条件下的s型压力-体积行为特征。体外组装NIV-CPAP系统并连接到肺模拟器，在健康和病理条件下（急性呼吸窘迫综合征和慢性阻塞性肺疾病）验证模型。该研究探讨了关键特征对通风回路的影响，如界面泄漏、回路内的风量以及回路元件引起的阻力。通过体外实验验证0D模型，相关系数在0.9 ~ 1之间。界面泄漏导致输送静压降低高达6%。空气量的变化（面罩或头盔界面，增加储层）导致压力振荡最大减少8%。启动通风回路的阻力增加导致潮气量减少不到1%。平衡四肢阻力的优化配置改善了固有的呼气末正压产生。所提出的0D模型能够有效地指导创新器件的设计，具有较高的计算效率和灵活性；它证明了其作为支持无创通气回路优化的工具的可靠性。

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引用次数: 0

Electroencephalograph (EEG) based classification of mental arithmetic using explainable machine learning 基于脑电图（EEG）的心算分类，使用可解释的机器学习

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-02-26 DOI: 10.1016/j.bbe.2025.02.002

Murtaza Aslam , Fozia Rajbdad , Shoaib Azmat , Kausar Perveen , Morteza Naraghi-Pour , Jian Xu

Mental arithmetic can be helpful for the evaluation of neurodevelopmental disorders arising from atypical development of the brain. We propose a novel explainable machine learning method for classifying mental arithmetic calculation tasks from resting brain states and good from bad calculations using Electroencephalography. Empirical mode decomposition features are extracted from intrinsic mode functions of the average signals of all trials. Most relevant features to the mental arithmetic tasks are ranked by a random forest-based recursive feature elimination method. These features identify the changes in frequency bands of the brain rhythms, such as delta, theta, and alpha, during mental tasks for the first time in literature. These unique explainable features are also used to identify brain areas such as frontal, temporal, and occipital lobes involved in mental arithmetic tasks. Moreover, our approach describes the memory regions and that bad calculations excite the brain areas, mostly related to emotions such as frustration and anxiety due to stressful mental arithmetic. Using a random forest classifier, beating the state-of-the-art, this method achieved classification accuracies of 99.30 % and 98.33 % for resting vs calculation and good vs bad calculation brain tasks, respectively. Also, our method outperformed the state of art in handling the inter-subject variability and achieved 98.17 ± 0.47 % and 97.19 ± 0.95 % classification accuracies for resting vs calculation and good vs bad calculation tasks, respectively.

心算可以帮助评估由大脑非典型发育引起的神经发育障碍。我们提出了一种新的可解释的机器学习方法，用于将心算计算任务从静息大脑状态和好的计算从坏的计算中分类。从所有试验的平均信号的固有模态函数中提取经验模态分解特征。采用基于随机森林的递归特征消除方法对与心算任务相关的特征进行排序。这些特征首次在文献中识别出大脑节奏的频带变化，如delta， theta和alpha，在脑力任务中。这些独特的可解释的特征也被用来识别与心算任务有关的大脑区域，如额叶、颞叶和枕叶。此外，我们的方法描述了记忆区域，糟糕的计算会刺激大脑区域，这些区域主要与由于紧张的心算而导致的沮丧和焦虑等情绪有关。使用随机森林分类器，该方法在静态与计算、好与坏计算脑任务的分类准确率分别达到99.30%和98.33%。此外，我们的方法在处理学科间变异性方面也优于目前的技术水平，在静息与计算、好与坏计算任务的分类准确率分别达到98.17±0.47%和97.19±0.95%。

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引用次数: 0

Contact Pressure, sliding distance and wear rate analysis at trunnion of hip implant for daily Activities: A finite element approach 髋关节耳轴日常活动接触压力、滑动距离及磨损率分析：有限元方法

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-02-24 DOI: 10.1016/j.bbe.2025.02.001

Md Mohiuddin Soliman , Mohammad Tariqul Islam , Phumin Kirawanich , Muhammad E.H. Chowdhury , Touhidul Alam , Ayed M. Alrashdi , Norbahiah Misran , Mohamed S. Soliman

This research analyses contact pressure, sliding distance, and wear rate at the trunnion interface of hip implants during various activities to understand post-hip replacement outcomes. The study uses a numerical model and ISO-7206–6:2013 constraints with an AML hip implant. Greater F_x, F_y, and F_z forces broaden contact pressure distribution. The highest pressure occurs on the proximal superolateral surface, with the lowest on the anterior and posterior surfaces. The HIGH100 (individuals weighing above 100 kg) weight category demonstrates 2 times higher maximum and average contact pressure compared to AVG75 (individuals weighing 75 kg) for sit-down and knee bend activities. Force components and the duration of a full gait cycle influence sliding distance. Stance activities show the highest sliding distance due to rapid changes in force load during the gait cycle. For sit-down and knee bend activities, the total sliding distance is 2.5 times higher in the HIGH100 weight category compared to AVG75. Sliding distance primarily occurs at the proximal superolateral-inferomedial-anterior-posterior contact surface, decreasing distally. Based on contact pressure, sliding distance, and wear volume rate, jogging and stance activities pose the highest risk for hip replacement patients, while cycling is the safest. The HIGH100 weight group exhibits 5- and 4-times greater wear volume rates than AVG75 in sit-down and knee bend activities, respectively. The research findings align with wear degradation observed in retrieved hip implants, validating the study. These insights can assist patients in making informed decisions about performing activities after surgery while enabling physicians to provide accurate guidelines.

本研究分析了各种活动中髋关节植入体耳轴界面的接触压力、滑动距离和磨损率，以了解髋关节置换术后的结果。该研究使用数值模型和ISO-7206-6:2013对AML髋关节植入物的约束。较大的Fx， Fy和Fz力扩大接触压力分布。最大的压力发生在近外侧表面，最小的压力发生在前、后表面。与AVG75（体重75公斤）相比，HIGH100（体重超过100公斤的人）的最大接触压力和平均接触压力高出2倍。力的组成和一个完整的步态周期的持续时间影响滑动距离。由于在步态周期中力负荷的快速变化，站立活动显示出最高的滑动距离。对于坐下和屈膝活动，HIGH100重量类别的总滑动距离是AVG75的2.5倍。滑动距离主要发生在近侧上外侧-内侧内侧-前后接触面，远端逐渐减少。基于接触压力、滑动距离和磨损量率，慢跑和站立活动对髋关节置换术患者的风险最高，而骑自行车最安全。HIGH100重量组在坐下和膝盖弯曲活动中分别表现出比AVG75高5倍和4倍的磨损体积率。研究结果与回收髋关节植入物观察到的磨损退化一致，验证了研究结果。这些见解可以帮助患者在手术后进行活动时做出明智的决定，同时使医生能够提供准确的指导。

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引用次数: 0

Volumetric medical image segmentation via fully 3D adaptation of Segment Anything Model 通过完全三维适应分割任何模型的体积医学图像分割

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-01-01 DOI: 10.1016/j.bbe.2024.11.001

Haoneng Lin , Jing Zou , Sen Deng , Ka Po Wong , Angelica I. Aviles-Rivero , Yiting Fan , Alex Pui-Wai Lee , Xiaowei Hu , Jing Qin

The Segment Anything Model (SAM) exhibits exceptional generalization capabilities in diverse domains, owing to its interactive learning mechanism designed for precise image segmentation. However, applying SAM to out-of-distribution domains, especially in 3D medical image segmentation, poses challenges. Existing methods for adapting 2D segmentation models to 3D medical data treat 3D volumes as a mere stack of 2D slices. The essential inter-slice information, which is pivotal to faithful 3D medical image segmentation tasks, is unfortunately neglected. In this work, we present the 3D Medical SAM-Adapter (3DMedSAM), a pioneer cross-dimensional adaptation, leveraging SAM’s pre-trained knowledge while accommodating the unique characteristics of 3D medical data. Firstly, to bridge the dimensional gap from 2D to 3D, we design a novel module to replace SAM’s patch embedding, ensuring a seamless transition into 3D image processing and recognition. Besides, we incorporate a 3D Adapter while maintaining the majority of pre-training parameters frozen, enriching deep features with abundant 3D spatial information and achieving efficient fine-tuning. Given the diverse scales of anomalies present in medical images, we also devised a multi-scale 3D mask decoder to elevate the network’s proficiency in medical image segmentation. Through various experiments, we showcase the effectiveness of 3DMedSAM in achieving accurate and robust 3D segmentation on both single-target segmentation and multi-organ segmentation tasks, surpassing the limitations of current methods.

基于交互式学习机制的任意分割模型（SAM）在不同领域表现出卓越的泛化能力。然而，将SAM应用于非分布域，特别是在三维医学图像分割中，面临着挑战。现有的将二维分割模型用于三维医疗数据的方法将三维体仅仅视为二维切片的堆栈。重要的切片间信息，这是关键的忠实的三维医学图像分割任务，不幸的是被忽略了。在这项工作中，我们提出了3D医疗SAM适配器（3DMedSAM），这是一种跨维度适应的先驱，利用SAM的预训练知识，同时适应3D医疗数据的独特特征。首先，为了弥补从2D到3D的尺寸差距，我们设计了一个新的模块来取代SAM的补丁嵌入，确保无缝过渡到3D图像处理和识别。此外，我们在保持大部分预训练参数冻结的同时，加入了一个3D适配器，以丰富的3D空间信息丰富深度特征，实现了高效的微调。鉴于医学图像中存在不同尺度的异常，我们还设计了一个多尺度的3D掩模解码器，以提高网络对医学图像分割的熟练程度。通过各种实验，我们证明了3DMedSAM在单目标分割和多器官分割任务上实现准确和鲁棒的3D分割的有效性，超越了现有方法的局限性。

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引用次数: 0

Impact of aging on anterior segment morphology and aqueous humor dynamics in human Eyes: Advanced imaging and computational techniques 老化对人眼前段形态学和房水动力学的影响：先进的成像和计算技术

IF 5.3 2区医学 Q1 ENGINEERING, BIOMEDICAL

Biocybernetics and Biomedical Engineering

Pub Date : 2025-01-01 DOI: 10.1016/j.bbe.2025.01.004

Alireza Karimi , Marie Darche , Ansel Stanik , Reza Razaghi , Iman Mirafzal , Kamran Hassani , Mojtaba Hassani , Elizabeth White , Ivana Gantar , Stéphane Pagès , Laura Batti , Ted S. Acott , Michel Paques

Objective

Aging results in significant structural and functional changes in the anterior segment of the eye, influencing intraocular pressure (IOP) and overall ocular health. Although aging is a well-established risk factor for primary open-angle glaucoma, a leading cause of irreversible blindness, the specific mechanisms through which aging drives morphological changes in anterior segment tissues and affects aqueous humor dynamics remain incompletely understood.

Methods

In this study, we employed cutting-edge light sheet fluorescence microscopy (LSFM) to capture high-resolution, volumetric images of cleared human donor eyes’ anterior segment tissues. This advanced imaging enabled a comprehensive morphological analysis of key parameters, including central and peripheral corneal thickness (CCT and PCT), iris thickness, anterior chamber area (ACA), and ciliary body area (CBA). By integrating these morphological parameters with computational fluid dynamics (CFD) models, we analyzed aqueous humor dynamics across n = 6 female human donor eyes, spanning a wide age range of 5 to 94 years (all of Caucasian descent).

Results

The CCT and PCT demonstrated thinning with age, accompanied by a reduction in ACA. In contrast, the CBA remained relatively stable across all age groups. Computational fluid dynamics analysis showed a decline in aqueous humor velocity and wall shear stress, with younger eyes exhibiting higher velocities and shear stress, compared to older eyes.

Conclusion

These findings emphasize the value of integrating LSFM and CFD approaches to provide a detailed understanding of how aging impacts the anterior segment and its fluid dynamics. This study contributes to the understanding of age-related ocular changes, highlighting the importance of considering these changes in the diagnosis and management of age-related eye diseases.

目的衰老导致眼前段结构和功能发生显著变化，影响眼内压（IOP）和整体眼部健康。虽然衰老是原发性开角型青光眼（不可逆失明的主要原因）的一个公认的危险因素，但衰老驱动前节组织形态变化和影响房水动力学的具体机制仍不完全清楚。方法在本研究中，我们采用先进的光片荧光显微镜（LSFM）捕获清除后的人供眼前段组织的高分辨率、体积图像。这种先进的成像技术能够对关键参数进行全面的形态学分析，包括角膜中央和周围厚度（CCT和PCT）、虹膜厚度、前房面积（ACA）和睫状体面积（CBA）。通过将这些形态学参数与计算流体动力学（CFD）模型相结合，我们分析了n = 6个女性人类供体眼睛的房水动力学，这些眼睛的年龄范围从5岁到94岁不等（全部为高加索血统）。结果CCT和PCT随年龄的增长而变薄，并伴有ACA的减少。相比之下，CBA在所有年龄段都保持相对稳定。计算流体动力学分析显示，房水流速和壁面剪应力下降，年轻的眼睛比年长的眼睛表现出更高的速度和剪应力。结论这些发现强调了LSFM和CFD方法相结合的价值，可以详细了解衰老如何影响前段及其流体动力学。这项研究有助于理解与年龄相关的眼部变化，强调了在诊断和治疗与年龄相关的眼病时考虑这些变化的重要性。

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引用次数: 0