Biomedical engineering advances最新文献_第3页

The influence of countermovement depth on joint coordination and ground reaction force waveform in countermovement jump 反动作深度对反动作跳跃关节配合及地面反作用力波形的影响

Biomedical engineering advances

Pub Date : 2025-08-21 DOI: 10.1016/j.bea.2025.100190

Mona Makita, Shinichi Kawamoto, Momoko Nagai-Tanima, Tomoki Aoyama

The ground reaction force (GRF) waveform during countermovement jumps (CMJs) is considered to reflect neuromuscular coordination strategies; yet the biomechanical mechanisms distinguishing unimodal from bimodal patterns remain unclear. This study investigated the influence of countermovement depth and velocity on GRF waveform shape and examined their relationship with joint moments and work. Twenty-six healthy young women (age: 22.1 ± 1.1 years; height: 160.8 ± 4.0 cm; body weight: 53.5 ± 5.6 kg) performed CMJs, and GRF waveforms were categorised as unimodal and bimodal patterns. Jump-related variables, joint moments, and work were analysed. Analysis of covariance (ANCOVA) was conducted using countermovement depth as a covariate, and correlation analyses examined the associations between depth and biomechanical parameters. Compared with the unimodal group, the bimodal group exhibited a significantly greater countermovement depth, with no significant difference in countermovement velocity. Before adjustment, knee joint work and ankle joint moments differed significantly between groups; however, these differences were no longer evident after adjusting for countermovement depth, indicating that it was a confounding factor. Correlation analyses demonstrated that a greater countermovement was associated with increased hip and knee joint work and reduced ankle joint contribution. These findings indicate that GRF waveform shape in CMJ is determined primarily by countermovement depth rather than velocity. The unimodal pattern reflected ankle-dominant simultaneous output, whereas the bimodal pattern reflected proximal joint-dominant sequential output. This study highlights the role of joint-specific coordination strategies and offers insight for developing individualised training and rehabilitation approaches.

反动作跳跃（CMJs）时的地面反作用力（GRF）波形被认为反映了神经肌肉协调策略；然而，区分单峰与双峰模式的生物力学机制仍不清楚。研究了反运动深度和反运动速度对GRF波形形态的影响，并考察了反运动深度和反运动速度与关节力矩和功的关系。26名健康年轻女性（年龄：22.1±1.1岁，身高：160.8±4.0 cm，体重：53.5±5.6 kg）进行了CMJs， GRF波形分为单峰和双峰两种。分析了跳跃相关变量、关节力矩和功。采用反运动深度作为协变量进行协方差分析（ANCOVA），相关分析考察深度与生物力学参数之间的关系。与单峰组相比，双峰组的反动作深度显著增加，反动作速度无显著差异。调整前，两组间膝关节功、踝关节力矩差异有统计学意义；然而，在调整了反向移动深度后，这些差异不再明显，表明这是一个混杂因素。相关分析表明，更大的反向运动与髋关节和膝关节工作增加和踝关节贡献减少有关。这些结果表明，CMJ中的GRF波形形状主要由反运动深度而不是速度决定。单峰模式反映踝关节为主的同时输出，而双峰模式反映近端关节为主的顺序输出。这项研究强调了特定关节协调策略的作用，并为制定个性化的训练和康复方法提供了见解。

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引用次数: 0

A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification 一种有效医学图像处理的距离迁移频域新方法：在肿瘤检测与识别中的应用

Biomedical engineering advances

Pub Date : 2025-08-09 DOI: 10.1016/j.bea.2025.100189

Jaouad El Gueri , Ibtisam Amdaouch , Badiaa Ait Ahmed , Juan Ruiz-Alzola , Otman Aghzout

This paper introduces a novel, computationally efficient range migration algorithm (RMA) specifically designed for medical microwave imaging applications. The proposed RMA achieves significant advancements over traditional methods, such as the Delay Multiply and Sum technique, by greatly reducing channel calculations and computational time while maintaining high image quality. The algorithm was validated using an antenna array system and a custom built phantom model. To further reduce noise and image artifacts after RMA application, Hamming, Gaussian, and Median filtering techniques were applied and compared. Notably, the Hamming filter significantly enhanced edge sharpness and improved tumor detection within human tissue compared to the other filters. A comprehensive complexity analysis was conducted to evaluate the algorithm’s efficiency and scalability, with a focus on computational time and resource utilization. Performance results offer valuable insights into the algorithm’s behavior across various operational conditions, Highlighting its potential to enhance healthcare diagnostics and improve patient outcomes, with promising prospects for future clinical adoption.

本文介绍了一种新的、计算效率高的距离迁移算法（RMA），该算法是专门为医学微波成像应用而设计的。所提出的RMA在保持高图像质量的同时，大大减少了信道计算和计算时间，大大优于延迟乘法和和技术等传统方法。采用天线阵列系统和自定义模型对算法进行了验证。为了进一步减少RMA应用后的噪声和图像伪影，采用了Hamming、高斯和中值滤波技术并进行了比较。值得注意的是，与其他滤波器相比，汉明滤波器显著增强了边缘清晰度，并改善了人体组织内的肿瘤检测。以计算时间和资源利用率为重点，对算法的效率和可扩展性进行了全面的复杂性分析。性能结果为该算法在各种操作条件下的行为提供了有价值的见解，突出了其增强医疗保健诊断和改善患者结果的潜力，并具有未来临床应用的良好前景。

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引用次数: 0

Current challenges and bioengineering aspects in the development of an in vitro model of the human intestinal epithelium 目前的挑战和生物工程方面的发展，在体外模型的人肠上皮

Biomedical engineering advances

Pub Date : 2025-07-04 DOI: 10.1016/j.bea.2025.100188

Jhonatan Rafael de Oliveira Bianchi , Ana Letícia Rodrigues Costa , Hernandes F. Carvalho , Lucimara Gaziola de La Torre

The human intestinal epithelium is a multitasking tissue with different cell types and a complex architecture responsible for molecules/nutrient absorption during food digestion, and working as a physical barrier to the infection of pathogens. Symbiosis with the microbiota regulates metabolic pathways accountable for developing diseases, for example diabetes, obesity, and cancer. Therefore, several in vitro biology-inspired physiological models have been developed to humanize drug tests and study cell behavior. This review uses a design approach to discuss the essential bioengineering parameters required to design an intestinal epithelium microphysiological system (MPS) rationally. Important project parameters are discussed, considering the biological question in hands, hydrogel microenvironment, and relevant engineering criteria to observe and quantify the functionality of this epithelium. Thus, we will focus on recent bioengineering aspects related to the fabrication of the intestine model, such as how the biomaterial (matrix) proprieties (porosity, mechanical force, and curvature) affect the cell behavior and, consequently, the characteristics of in vitro intestinal models. Moreover, the technological approaches used to create a villus-like microarchitecture, lithography, and 3D bioprinting are introduced. Finally, combining villi-crypt microarchitecture with fluid perfusion and hypoxia is discussed to create a more complex intestine-MPS.

人类肠上皮是一个多任务组织，具有不同的细胞类型和复杂的结构，负责食物消化过程中的分子/营养吸收，并作为病原体感染的物理屏障。与微生物群的共生调节了代谢途径，这些代谢途径导致了糖尿病、肥胖和癌症等疾病的发生。因此，一些体外生物学启发的生理模型已经开发出人性化的药物测试和研究细胞行为。本文采用设计方法讨论了合理设计肠上皮微生理系统（MPS）所需的基本生物工程参数。考虑到手头的生物学问题、水凝胶微环境和相关的工程标准，讨论了重要的项目参数，以观察和量化该上皮的功能。因此，我们将关注最近与肠模型制造相关的生物工程方面，例如生物材料（基质）特性（孔隙度、机械力和曲率）如何影响细胞行为，从而影响体外肠模型的特征。此外，还介绍了用于创建绒毛样微结构、光刻和3D生物打印的技术方法。最后，讨论了绒毛-隐窝微结构与流体灌注和缺氧相结合，以创建更复杂的肠- mps。

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引用次数: 0

BLVQE: Blind Laparoscopic Video Quality Evaluator using spatio-temporal interdependency and textural cues 使用时空相互依赖和纹理线索的盲腹腔镜视频质量评估器

Biomedical engineering advances

Pub Date : 2025-06-16 DOI: 10.1016/j.bea.2025.100184

Sria Biswas, Rohini Palanisamy

Quality assessment of laparoscopic videos is critical for ensuring accurate diagnostics and surgical precision. Traditional quality assessment methods typically focus on either spatial or textural features independently, limiting their effectiveness in handling composite distortions like motion blur, noise, defocus blur, uneven illumination, and smoke. To address this, leveraging spatio-temporal interdependencies and textural features offers a more comprehensive approach in replicating the human visual system to improve the robustness of video quality assessment. This work introduces Blind Laparoscopic Video Quality Evaluator (BLVQE) that models the statistical interdependencies between spatial, temporal and texture features. For this, laparoscopic videos obtained from a public database are used to estimate the Luminance and motion vector maps, which are then analyzed using bivariate generalized Gaussian distribution to capture spatio-temporal interdependency. Scene texture complexity is further quantified using statistical energy measures. These feature vectors are used for end-to-end training of an LSTM framework for frame quality predictions. The training and validation loss curves of the model saturate around 50 epochs, indicating prediction proficiency. BLVQE predictions show a high correlation with subjective scores exhibiting robust and competitive performance against other state-of-the-art methods. Ablation studies highlight the contribution of individual feature elements, confirming the superiority of the selected features. These findings enhance the understanding of the spatial, temporal and textural variations that influence video quality and highlight the potential of joint dependencies in accurately estimating the diagnostic quality of laparoscopic videos.

腹腔镜视频的质量评估是确保准确诊断和手术精度的关键。传统的质量评估方法通常单独关注空间或纹理特征，限制了它们在处理运动模糊、噪声、散焦模糊、光照不均匀和烟雾等复合失真方面的有效性。为了解决这个问题，利用时空相互依赖性和纹理特征提供了一种更全面的方法来复制人类视觉系统，以提高视频质量评估的鲁棒性。本文介绍了盲腹腔镜视频质量评估器（BLVQE），该工具对空间、时间和纹理特征之间的统计相关性进行建模。为此，使用从公共数据库获取的腹腔镜视频来估计亮度和运动矢量图，然后使用二元广义高斯分布对其进行分析，以捕获时空相互依赖性。使用统计能量度量进一步量化场景纹理复杂性。这些特征向量用于LSTM框架的端到端训练，用于帧质量预测。模型的训练和验证损失曲线在50次左右达到饱和，表明预测能力较强。与其他最先进的方法相比，BLVQE预测显示出与主观得分的高度相关性，表现出稳健和有竞争力的表现。消融研究强调了单个特征元素的贡献，证实了所选特征的优越性。这些发现增强了对影响视频质量的空间、时间和纹理变化的理解，并强调了在准确估计腹腔镜视频诊断质量方面联合依赖的潜力。

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引用次数: 0

Technological enhancements in personalized dietary management for chronic conditions 慢性病个性化饮食管理的技术改进

Biomedical engineering advances

Pub Date : 2025-06-13 DOI: 10.1016/j.bea.2025.100181

Tania Tahtouh , Hadil Salman , Nermin Eissa , Najla Al Nassar , Sofyan Maghaydah , Marah Alhalabi , Maha Yaghi , Abdalla Gad , Dana Abdallah , Salma Elberry , Aysha Alhosani , Shaikha Alshehhi , Mohammad Alkhedher , Mohamad Ramadan , Mohammed Ghazal

Dietary compliance plays a vital role in the control of chronic diseases and influences response to therapy. The rapid development experienced nowadays through smart technology has enabled the personalization of dietary advice to meet individual needs. This paper provides an overview of the current technological solutions to dietary adherence among patients with chronic conditions. With the increasing prevalence of chronic diseases requiring diet-specific interventions, this review encompasses mobile apps and wearables to IoT-based devices and generative intelligence tools, including chatbots, aimed at offering specific guidance as well as providing individualized support for dietary requirements. This review provides an overview of the strengths and limitations of these approaches in real world applications, as well as emerging methodologies that attempt to improve this by focusing on means to personalize dietary management more effectively. The study suggests that technology-enabled dietary interventions can be useful to support chronic disease management and generative artificial intelligence may have a profound effect on the further personalization of dietary guidance. However, issues surrounding regulatory alignment, content validity and long-term user engagement remain to be resolved in order to maximize the tools’ functionality in clinical and home settings.

饮食依从性在控制慢性疾病中起着至关重要的作用，并影响对治疗的反应。如今，通过智能技术的快速发展，使饮食建议个性化，以满足个人需求。本文概述了目前的技术解决方案，以饮食依从性的慢性病患者。随着需要特定饮食干预的慢性病的日益流行，本综述涵盖了移动应用程序和可穿戴设备到基于物联网的设备和生成智能工具，包括聊天机器人，旨在提供具体指导以及为饮食需求提供个性化支持。这篇综述概述了这些方法在实际应用中的优势和局限性，以及新兴的方法，这些方法试图通过关注更有效地个性化饮食管理的方法来改进这一点。该研究表明，技术支持的饮食干预可能有助于支持慢性疾病管理，而生殖人工智能可能对饮食指导的进一步个性化产生深远影响。然而，为了在临床和家庭环境中最大限度地发挥工具的功能，围绕监管一致性、内容有效性和长期用户参与的问题仍有待解决。

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引用次数: 0

Noninvasive monitoring of changes in intracranial fluid and tissue composition 颅内液体和组织成分变化的无创监测

Biomedical engineering advances

Pub Date : 2025-06-13 DOI: 10.1016/j.bea.2025.100187

Andrea Boraschi , Andreas Spiegelberg , Vartan Kurtcuoglu

Continuous assessment of changes in the fluid and tissue composition of the brain, as they occur with certain space-occupying disorders, is currently not possible. Recently, the noninvasive acquisition of the head’s dielectric properties has been proposed as the basis for monitoring such changes. The analysis of the corresponding electric signal, referred to as W, focused so far on intracranial fluid volume changes induced by cardiorespiratory action. Here, we report on a novel approach to acquire changes of W also in the 0 to 0.1 Hz frequency range, which would allow capturing slower processes such as edema formation. Six healthy male volunteers were tilted head-up, head-down, and subjected to bilateral jugular vein compression. W decreased during head-up tilting, while it increased during head-down tilting and jugular vein compression. These findings are consistent with anticipated changes in intracranial volume due to these maneuvers, notably the reduction of intracranial blood volume during head-up tilt and its augmentation during head-down tilt and jugular vein compression. This study provides a proof of principle for the detection of changes in W within the 0–0.1 Hz frequency range, broadening the potential clinical utility of noninvasive monitoring of cranial dielectric properties in diagnosing and managing space-occupying disorders.

目前还不可能像某些占位性疾病那样，对大脑液体和组织组成的变化进行持续评估。最近，人们提出了无创获取头部介电特性作为监测这种变化的基础。到目前为止，对相应电信号（简称W）的分析主要集中在心肺作用引起的颅内液量变化上。在这里，我们报告了一种新的方法来获取0到0.1 Hz频率范围内W的变化，这将允许捕获较慢的过程，如水肿的形成。6名健康男性志愿者头朝上、头朝下倾斜，并接受双侧颈静脉压迫。俯仰时W值降低，俯仰和颈静脉压迫时W值升高。这些发现与预期的颅内容量变化是一致的，由于这些动作，特别是在头向上倾斜时颅内血容量减少，而在头向下倾斜和颈静脉压迫时颅内血容量增加。该研究为检测0-0.1 Hz频率范围内W的变化提供了原理证明，扩大了无创监测颅骨介电特性在诊断和治疗占位性疾病中的潜在临床应用。

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引用次数: 0

Tracking orthodontic tooth movement and associated biomechanics using an integrated clinical and in vitro mechanical approach 使用综合临床和体外机械方法跟踪正畸牙齿运动和相关的生物力学

Biomedical engineering advances

Pub Date : 2025-06-13 DOI: 10.1016/j.bea.2025.100186

Arya Subramanian , Robyn de Wet , Lingyu Bu , Manuel O. Lagravere , Paul W. Major , Dan L. Romanyk

The objective of this study was to establish an integrated clinical and in vitro experimental approach to track tooth positions and replicate digital tooth positions in vitro for biomechanical load measurement over orthodontic treatment. Patients between 11–14 years were recruited to collect four digital intraoral scans in 4–6-week intervals. Patients were treated for mild anterior crowding using 0.022″ Damon Q2 brackets and CuNiTi round archwires sized up at each treatment interval (T1-T2: 0.014″, T2-T3: 0.016″, T3-T4: 0.018″). Scans were superimposed and clinical tooth movement was tracked using bracket-slot midpoint position differences. An in-house workflow was developed using MATLAB and SolidWorks to replicate digital bracket positions on an Orthodontic Simulator (OSIM) with custom-dimensioned jigs. Mechanical experiments for the sample arches were performed at 37°C for 3D force measurements at each tooth upon wire insertion (n = 5/archwire size). The average superimposition error between T2-T4 and T1 scans was 0.19 mm. Average errors in bracket position replication across all directions was 0.41 mm in the local X-, Y-, and Z-direction, respectively. The initial force and tooth movement range was 0.00–1.43 N and 0.01–1.81 mm in the Y-direction, and 0.01–2.17 N and 0.00–1.45 mm in the Z-direction. Tooth movement ranged from 0.00–0.30 mm/week in the Y-direction and 0.00–0.24 mm/week in the Z-direction over treatment. This study developed a process to measure clinical tooth movement and existing force/moment systems for sample arches over orthodontic braces treatment. Future work will involve an expanded data set to establish fundamental relationships between force systems and clinical tooth movements.

本研究的目的是建立一种综合的临床和体外实验方法来跟踪牙齿位置，并在体外复制数字牙齿位置，用于正畸治疗期间的生物力学载荷测量。招募11-14岁的患者，每隔4 - 6周收集4次数字口内扫描。患者使用0.022″Damon Q2托架和CuNiTi圆形弓丝治疗轻度前路拥挤（T1-T2: 0.014″，T2-T3: 0.016″，T3-T4: 0.018″）。将扫描结果进行叠加，并利用托槽中点位置差跟踪临床牙齿运动。利用MATLAB和SolidWorks开发了一个内部工作流程，在具有定制尺寸夹具的正畸模拟器（OSIM）上复制数字支架位置。在37°C的温度下对样品弓进行力学实验，测量每个牙齿插入金属丝时的三维力（n = 5/弓丝尺寸）。T2-T4与T1扫描的平均叠加误差为0.19 mm。在局部X、Y和z方向上，所有方向上支架位置复制的平均误差分别为0.41 mm。初始力和齿的运动范围分别为：y方向为0.00-1.43 N和0.01-1.81 mm， z方向为0.01-2.17 N和0.00-1.45 mm。在治疗过程中，牙齿在y方向上的移动幅度为0.00-0.30 mm/周，在z方向上的移动幅度为0.00-0.24 mm/周。本研究开发了一个过程来测量临床牙齿运动和现有的力/力矩系统的样本弓在正畸牙套治疗。未来的工作将包括扩展数据集，以建立力系统和临床牙齿运动之间的基本关系。

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引用次数: 0

Corrigendum to “Exploring Therapeutic Strategies for Androgen-Independent Prostate Cancer Using a Magnetic Coculture Platform” [Biomedical Engineering Advances Volume 9 (2025) Pages 2-6/Article 100144] “使用磁性共培养平台探索雄激素非依赖性前列腺癌的治疗策略”的勘误表[生物医学工程进展卷9（2025）页2-6/文章100144]

Biomedical engineering advances

Pub Date : 2025-06-01 DOI: 10.1016/j.bea.2025.100182

Anjani Chavali , Giles Fitzwilliams , Adam Germain , Sandra Khuon , Young-tae Kim

引用次数: 0

Alternate inter-digit finger tapping pattern resembles rudimentary finger grasping pattern 手指间交替敲击模式类似于基本的手指抓握模式

Biomedical engineering advances

Pub Date : 2025-06-01 DOI: 10.1016/j.bea.2025.100183

Stefan Manoharan , June Seung Lee , Hangue Park

Neurotraumas often result in loss of finger grasping ability, thereby deteriorating quality of life. To develop effective rehabilitation method for finger grasping, objective evaluation metrics of grasping capability is a basic requirement. However, current evaluation methods for grasping confront challenges with their non-rhythmic nature and limited sample size, resulting in low statistical power and high variability. Finger tapping may shed light on this issue, based on its rhythmic nature and a common underlying mechanism between rhythmic finger tapping and rudimentary finger grasping. In this study, we investigated “phase difference” at inter-digit finger tapping, which indicates a deviation from the temporal symmetry of inter-digit tapping and potentially reflects a rudimentary finger grasping pattern. This was accomplished by analysing the metacarpophalangeal (MCP) angle of subjects’ fingers, measured by an infrared hand-motion sensor, during finger-tapping tasks. Subjects performed alternate or simultaneous rhythmic tapping tasks between two adjacent fingers among the thumb, index, and middle fingers while the MCP angle for the fingers was measured. Using the oscillating nature of the MCP angles for each finger, we established phase difference as a metric to describe relative interdigital motion. We identified congruency in phase difference between the alternate inter-digit tapping pattern and the rudimentary grasping pattern. Experimental results with phase analysis suggest that alternate inter-digit tapping, which is a rhythmic and intuitive task, is strongly correlated with the rudimentary grasping in kinematics, while the simultaneous tapping is not. Accordingly, we predict potential applications of alternate inter-digit finger tapping and its metrics in grasping diagnostics and rehabilitation monitoring.

神经创伤常导致手指抓握能力丧失，从而使生活质量下降。为了开发有效的手指抓握康复方法，客观的抓握能力评价指标是基本要求。然而，现有的抓取评价方法存在非韵律性和样本量有限的问题，导致统计能力低、变异性大。基于有节奏的本质以及有节奏的手指敲击和基本的手指抓握之间的共同潜在机制，手指敲击可能会揭示这个问题。在这项研究中，我们研究了手指间敲击时的“相位差”，这表明手指间敲击的时间对称性存在偏差，可能反映了一种基本的手指抓握模式。这是通过分析实验对象手指的掌指关节（MCP）角度来完成的，该角度由红外手部运动传感器测量，在手指敲击任务中。受试者在拇指、食指和中指相邻的两个手指之间交替或同时进行有节奏的敲击任务，同时测量手指的MCP角。利用每个手指的MCP角度的振荡特性，我们建立了相位差作为描述相对指间运动的度量。我们发现交替的手指敲击模式和初级抓取模式之间的相位差是一致的。相位分析的实验结果表明，手指间交替叩叩是一种有节奏的、直观的任务，在运动学上与初级抓取密切相关，而同时叩叩则不相关。因此，我们预测交替手指间敲击及其指标在抓取诊断和康复监测中的潜在应用。

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引用次数: 0

Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction 基于纹理的氡变换和形态学重建的糖尿病视网膜病变视网膜眼底图像硬渗出物自动检测

Biomedical engineering advances

Pub Date : 2025-05-21 DOI: 10.1016/j.bea.2025.100180

Esmat Ramezanzadeh , Naser Shoeibi , Akram Feizabadi , Touka Banaee , Mohammad Hossein Bahreyni Tussi , Meysam Tavakoli

Background

Diabetic retinopathy (DR) screening requires accurate detection of hard exudates (HEs) in retinal images. This study presents a novel method that integrates textural-based Radon transform (RT) with morphological image processing techniques to automate the detection and segmentation of HEs in color fundus photography (CFP) images. By enhancing the diagnostic capabilities for DR, this approach aims to provide ophthalmologists with a reliable and efficient tool for identifying early signs of vascular damage associated with diabetes.

Method

The proposed algorithm was evaluated on two datasets, DIARETDB1 (89 images) and MUMS-DB (32 images). We developed an automated method for detecting HEs in CFP images. The approach involves a comprehensive framework comprising preprocessing, main processing, feature extraction, and post-processing. Key techniques include Radon transform for optical disc, vessels and soft and hard exudate feature extraction, and morphological reconstruction for enhancing detection accuracy. We employed Kirsch edge detection to distinguish HEs based on edge sharpness and utilized Top-Hat transformation to highlight small-scale features. The method integrates clinical expertise with computational techniques to differentiate between morphologically similar lesions. Performance was assessed through classification and pixel-based classification. metrics.

Results

The proposed algorithm demonstrated high performance in pixel-based classification, achieving best sensitivity of 92 %, and specificity 100 %. In lesion-based classification, the model achieved 100 % sensitivity and 100 % specificity on MUMS-DB datasets in the best case.

Conclusion

This integrated methodology successfully addresses the challenging task of differentiating between morphologically similar lesions, representing a significant advancement in automated DR screening. While performance varied between datasets, the results demonstrate strong potential for clinical application.

背景：糖尿病视网膜病变（DR）筛查需要准确检测视网膜图像中的硬渗出物（HEs）。本文提出了一种将基于纹理的Radon变换（RT）与形态学图像处理技术相结合的方法，用于彩色眼底摄影（CFP）图像中he的自动检测和分割。通过提高DR的诊断能力，该方法旨在为眼科医生提供一种可靠而有效的工具，以识别与糖尿病相关的血管损伤的早期迹象。方法在DIARETDB1（89张图像）和MUMS-DB（32张图像）两个数据集上对该算法进行评价。我们开发了一种自动检测CFP图像中he的方法。该方法涉及一个包括预处理、主处理、特征提取和后处理的综合框架。关键技术包括光盘Radon变换、血管及软硬渗出物特征提取、形态重构等，以提高检测精度。我们利用Kirsch边缘检测基于边缘清晰度来区分HEs，利用Top-Hat变换来突出小尺度特征。该方法将临床专业知识与计算技术相结合，以区分形态相似的病变。通过分类和基于像素的分类来评估性能。指标。结果该算法在基于像素的分类中表现优异，灵敏度为92%，特异度为100%。在基于病变的分类中，在最佳情况下，该模型在MUMS-DB数据集上实现了100%的灵敏度和100%的特异性。该综合方法成功地解决了区分形态学相似病变的挑战性任务，代表了自动化DR筛查的重大进步。虽然不同数据集的表现不同，但结果显示了临床应用的强大潜力。

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引用次数: 0