Medical Engineering & Physics最新文献

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Acknowledgement to Reviewers 2024

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2025-01-01 DOI: 10.1016/S1350-4533(25)00009-8

引用次数: 0

2D human pose tracking in the cardiac catheterisation laboratory with BYTE

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2025-01-01 DOI: 10.1016/j.medengphy.2024.104270

Rick M. Butler , Teddy S. Vijfvinkel , Emanuele Frassini , Sjors van Riel , Chavdar Bachvarov , Jan Constandse , Maarten van der Elst , John J. van den Dobbelsteen , Benno H.W. Hendriks

Workflow insights can enable safety- and efficiency improvements in the Cardiac Catheterisation Laboratory (Cath Lab). Human pose tracklets from video footage can provide a source of workflow information. However, occlusions and visual similarity between personnel make the Cath Lab a challenging environment for the re-identification of individuals. We propose a human pose tracker that addresses these problems specifically, and test it on recordings of real coronary angiograms. This tracker uses no visual information for re-identification, and instead employs object keypoint similarity between detections and predictions from a third-order motion model. Algorithm performance is measured on Cath Lab footage using Higher-Order Tracking Accuracy (HOTA). To evaluate its stability during procedures, this is done separately for five different surgical steps of the procedure. We achieve up to 0.71 HOTA where tested state-of-the-art pose trackers score up to 0.65 on the used dataset. We observe that the pose tracker HOTA performance varies with up to 10 percentage point (pp) between workflow phases, where tested state-of-the-art trackers show differences of up to 23 pp. In addition, the tracker achieves up to 22.5 frames per second, which is 9 frames per second faster than the current state-of-the-art on our setup in the Cath Lab. The fast and consistent short-term performance of the provided algorithm makes it suitable for use in workflow analysis in the Cath Lab and opens the door to real-time use-cases. Our code is publicly available at https://github.com/RM-8vt13r/PoseBYTE.

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引用次数: 0

Advances and future trends in the detection of beta-amyloid: A comprehensive review

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2025-01-01 DOI: 10.1016/j.medengphy.2024.104269

Atri Ganguly , Srivalliputtur Sarath Babu , Sumanta Ghosh , Ravichandiran Velyutham , Govinda Kapusetti

The neurodegenerative condition known as Alzheimer's disease is typified by the build-up of beta-amyloid plaques within the brain. The timely and precise identification of beta-amyloid is essential for understanding disease progression and developing effective therapeutic interventions. This comprehensive review explores the diverse landscape of beta-amyloid detection methods, ranging from traditional immunoassays to cutting-edge technologies. The review critically examines the strengths and limitations of established techniques such as ELISA, PET, and MRI, providing insights into their roles in research and clinical settings. Emerging technologies, including electrochemical methods, nanotechnology, fluorescence techniques, point-of-care devices, and machine learning integration, are thoroughly discussed, emphasizing recent breakthroughs and their potential for revolutionizing beta-amyloid detection. Furthermore, the review delves into the challenges associated with current detection methods, such as sensitivity, specificity, and accessibility. By amalgamating knowledge from multidisciplinary approaches, this review aims to guide researchers, clinicians, and policymakers in navigating the complex landscape of beta-amyloid detection, ultimately contributing to advancements in Alzheimer's disease diagnostics and therapeutics.

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引用次数: 0

Denture reinforcement via topology optimization

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2025-01-01 DOI: 10.1016/j.medengphy.2024.104272

Rabia Altunay , Kalevi Vesterinen , Pasi Alander , Eero Immonen , Andreas Rupp , Lassi Roininen

We present a computational design method that optimizes the reinforcement of dentures and increases the stiffness of dentures. Our approach optimally places reinforcement in the denture, which modern multi-material three-dimensional printers could implement. The study focuses on reducing denture displacement by identifying regions that require reinforcement (E-glass material) with the help of topology optimization. Our method is applied to a three-dimensional complete lower jaw denture. We compare the displacement results of a non-reinforced denture and a reinforced denture that has two materials. The comparison results indicate that there is a decrease in the displacement in the reinforced denture. Considering node-based displacement distribution, the reinforcement reduces the displacement magnitudes in the reinforced denture compared to the non-reinforced denture. The study guides dental technicians on where to automatically place reinforcement in the fabrication process, helping them save time and reduce material usage.

引用次数: 0

Thermal imaging for characterization of skin adaptation in prosthesis users

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2025-01-01 DOI: 10.1016/j.medengphy.2024.104279

Joan E Sanders, Conor L Lanahan, Joseph C Mertens

The purpose of this research was to investigate the use of time to peak temperature (TTP) as a metric for characterizing skin adaptation in prothesis users. Two experiments were conducted. A static pressure was applied to a participant's transtibial residual limb for 10 min, then a thermal imaging camera was used to capture the time-varying temperature response. The TTP, time to reach 70 % of the maximum temperature, was shorter at locations adapted to mechanical stress, the patellar tendon and anterior lateral distal region (mean 41.5 s and 47.2 s, respectively), than at mid-limb locations (127.1 s). In the second experiment, an able-bodied participant rubbed a towel across the anterior proximal aspect of his lower limb each day for 5 min per day for 11 days. His mean TTP in the region decreased from 68.5 s at Day 1 to 47.2 s at Day 11. The results suggest that a short TTP reflects skin well adapted to mechanical stress and a long TTP reflects skin not well adapted to mechanical stress. Investigations characterizing relationships between TTP and health outcomes should be pursued.

引用次数: 0

Aortic strain, flow pattern and wall shear stress in a patient-specific compliant aorta replica using Shake-the-Box

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2025-01-01 DOI: 10.1016/j.medengphy.2024.104263

Xiaolin Wu , Kaspar M.B. Jansen , Jos J.M. Westenberg , Hildo J. Lamb , Saša Kenjereš

High-fidelity in vitro flow simulator in combination with high-dimensional flow visualization techniques can offer precise and comprehensive evaluation of aortic hemodynamics. However, it is particularly challenging to create a fully transparent aorta replica that faithfully mimics the aortic curvature and stiffness. In this study, we successfully manufactured a patient-specific compliant aorta phantom with a dilated ascending aorta that can be used in vitro hemodynamic study. We conducted pulsatile flow measurement on the deformable aorta replica using advanced 4D particle tracking velocimetry – Shake-the-Box. The aortic distensibility, circumferential strain, flow pattern, wall shear stress (WSS), and turbulent kinetic energy were assessed. Furthermore, the peak velocity field and WSS distribution were compared to in vivo MRI measurements. We found that the distensibility and circumferential strain of our aortic replica fell within the physiological range of young patients. The aortic diameter changed as much as 5.4 mm (42 %) in a cardiac cycle and the aortic distensibility was 9.9 × 10^–3 mmHg^-1. In addition, the obtained flow pattern and WSS distribution were found in a good agreement with in vivo MRI measurement. In conclusion, the compliant aorta phantom replicated the aortic wall material well. It also faithfully simulated the aortic flow and near-wall hemodynamics. The relatively large lumen dimension change (5.4 mm) in a cardiac cycle suggests the necessity of considering wall deformation in aortic flow simulations. We propose employing this approach for future studies, such as medical treatment training, validation of in silico fluid-structure interaction models, or as a complement to in vivo measurements.

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引用次数: 0

Long-duration electrocardiogram classification based on Subspace Search VMD and Fourier Pooling Broad Learning System

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2025-01-01 DOI: 10.1016/j.medengphy.2024.104267

Xiao-li Wang , Run-jie Wu , Qi Feng , Jian-bin Xiong

Detecting early stages of cardiovascular disease from short-duration Electrocardiogram (ECG) signals is challenging. However, long-duration ECG data are susceptible to various types of noise during acquisition. To tackle the problem, Subspace Search Variational Mode Decomposition (SSVMD) was proposed, which determines the optimal solution by continuously narrowing the parameter subspace and implements data preprocessing by removing baseline drift noise and high-frequency noise modes. In response to the unclear spatial characteristics and excessive data dimension in long-duration ECG data, a Fourier Pooling Broad Learning System (FPBLS) is proposed. FPBLS integrates a Fourier feature layer and a broad pooling layer to express the input data with more obvious features, reducing the data dimension and maintaining effective features. The theory is verified using the MIT-BIH arrhythmia database and achieves better results compared to the latest literature method.

引用次数: 0

Hearing the unheard: Fundamentals of acoustic emission signals as predictors of total hip arthroplasty implant loosening 听不见的：声发射信号作为全髋关节置换术植入物松动预测因素的基础

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2024-12-01 DOI: 10.1016/j.medengphy.2024.104266

Magnus Reulbach , Longwei Cong , Bernd-Arno Behrens , Eike Jakubowitz

Implant loosening remains a primary cause of failure of total hip arthroplasty¹ (THA) and is often detected late, when pain occurs. Acoustic emission² (AE) analysis is a promising method for early loosening detection, on the supposition that relative movements at the bone–implant interface induce detectable AE signals. To distinguish loosening-induced AE signals from those of stable THA components in vitro investigations are necessary. Substituting human with animal bone for such testing could enable simplified and cost-effective sample preparation. The aim of this study was to investigate whether AE signals differ between bone tissues of different species. AE signals generated by relative movements between TiAl₆V₄ and human, bovine, and porcine cortical bone were investigated. Per species, 125 movements were analyzed, with 26 AE features identified for each movement. The most important time and frequency features of AE signals from human bone differed significantly from those of both animal species. Signals of human origin were longer and exhibited higher rise time. The main frequency components of human AE signals were in a lower frequency range, with a centroid frequency of 113.7 kHz. Based on these differences, it is not advisable to replace human cortical bone with animal bone for AE-related in vitro studies.

假体松动仍然是全髋关节置换术失败的主要原因，通常在疼痛发生后才发现。声发射（AE）分析是一种很有前途的早期松动检测方法，假设骨-种植体界面的相对运动可以诱发可检测的声发射信号。为了区分松动引起的声发射信号和稳定的THA成分的声发射信号，有必要进行体外研究。用动物骨代替人骨可以简化和具有成本效益的样品制备。本研究的目的是探讨声发射信号在不同物种的骨组织之间是否存在差异。研究了TiAl6V4与人、牛、猪皮质骨相对运动产生的声发射信号。每个物种分析了125个动作，每个动作确定了26个声发射特征。人骨声发射信号最重要的时间和频率特征与两种动物明显不同。人类起源的信号更长，上升时间也更长。人体声发射信号的主要频率成分在较低的频率范围内，质心频率为113.7 kHz。基于这些差异，不宜用动物骨代替人皮质骨进行ae相关的体外研究。

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引用次数: 0

Merging mixed reality and computational modeling for enhanced visualization of cardiac biomechanics 融合混合现实和计算建模增强心脏生物力学可视化

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2024-12-01 DOI: 10.1016/j.medengphy.2024.104258

Eleonora Costagliola , Francesco Musumeci , Caterina Gandolfo , Michele Pilato , Salvatore Pasta

Mixed reality (MR) has the potential to complement numerical simulations for enhanced post-processing and integrate digital models into the daily clinical practice of healthcare professionals. In complex cardiac anatomies, the decision-making process for bioprosthesis implantation involves the challenging analysis of heart valve distribution, positioning, and sealing. This study proposes a framework to visualize computational modeling results in an immersive environment for comprehensive analysis of the geometric implications of implanted devices on human heart function. After computational analysis, the biomechanical behavior of the Living Heart Human Model (LHHM) was used to develop MR content for the immersive visualization of the heart kinematics and the electrical field. Additionally, MR content was developed to assess the spatial implications of left ventricular outflow tract (LVOT) obstruction as observed in transcatheter mitral valve replacement (TMVR). Findings demonstrated that augmented exploration of cardiac biomechanics can be used for a better understanding of the electrical field of the beating heart. In the case of TMVR simulation, MR-related analysis of LVOT obstruction can result in improved visualization and manipulation of 3D anatomies and assessment of device-induced anatomic constraints. We conclude that the synergy between in-silico modeling and MR can potentially enhance physicians' ability to visualize the implications of biomedical device implants in complex cardiac anatomies, benefiting both physicians and simulation experts.

混合现实（MR）有潜力补充数字模拟，以增强后处理，并将数字模型集成到医疗保健专业人员的日常临床实践中。在复杂的心脏解剖结构中，生物假体植入的决策过程涉及对心脏瓣膜分布、定位和密封的分析。本研究提出了一个框架，在沉浸式环境中可视化计算建模结果，以全面分析植入装置对人体心脏功能的几何影响。在计算分析后，利用活体心脏人体模型（LHHM）的生物力学行为来开发MR内容，实现心脏运动学和电场的沉浸式可视化。此外，我们还开发了磁共振内容来评估经导管二尖瓣置换术（TMVR）中观察到的左心室流出道（LVOT）阻塞的空间影响。研究结果表明，增强心脏生物力学的探索可以用于更好地理解心脏跳动的电场。在TMVR模拟的情况下，LVOT阻塞的mr相关分析可以改善三维解剖的可视化和操作，并评估设备引起的解剖约束。我们的结论是，计算机建模和MR之间的协同作用可以潜在地增强医生在复杂心脏解剖中可视化生物医学设备植入的影响的能力，使医生和模拟专家都受益。

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引用次数: 0

Effect of excitation sequence of myocardial contraction on the mechanical response of the left ventricle 心肌收缩兴奋顺序对左心室力学响应的影响

IF 1.7 4区医学 Q3 ENGINEERING, BIOMEDICAL

Medical Engineering & Physics

Pub Date : 2024-12-01 DOI: 10.1016/j.medengphy.2024.104255

Giorgos Troulliotis , Alison Duncan , Xiao Yun Xu , Alessandro Gandaglia , Fillipo Naso , Hendrik Versteeg , Saeed Mirsadraee , Sotiris Korossis

In the past two decades there has been rapid development in the field of computational cardiac models. These have included either (i) mechanical models that assumed simultaneous myocardial activation, or (ii) electromechanical models that assumed time-varying myocardial activation. The influence of these modelling assumptions of myocardial activation on clinically relevant metrics, like myocardial strain, commonly used for validation of cardiac models has yet to be systematically examined, leading to uncertainty over their influence on the predictions of these models. This study examined the effects of simultaneous (mechanical), uniform endocardial, 3-patch endocardial (simulating the fascicles of the His-Purkinje system) and 1-patch endocardial (simulating the atrioventricular node) excitation sequences on the mechanical response of a synthetic human left ventricular model. The influence of the duration of the activation and time-to-peak contraction was also investigated. The electromechanical and mechanical models produced different strain distributions in early systole. However, these differences decayed as systole progressed. Using the same activation duration (74 ms) the average peak-systolic circumferential strain difference between the models was 0.65±0.37 %. A slightly prolonged activation duration (134 ms) resulted in no substantial difference increase (0.76±0.47 %). Differences up to 3.5 % were observed for prolonged activation durations (200 ms). Endocardial excitation produced non-physiological cumulative activation time distributions compared to the other models. Septal 1-patch excitation resulted in early systolic strain response that resembled pathological left bundle branch block. Decreased time-to-peak contraction exaggerated the effects of electrophysiology. The study found that excitation sequence minimally affects strain distributions at peak systole for physiological and even slightly pathological activation durations. However, electromechanical models with (patho)physiologically informed activation sequences are important for the accurate prediction of early systolic and pathological late systolic responses.

在过去的二十年中，计算心脏模型领域得到了迅速的发展。这些包括：(i)假设同时心肌激活的力学模型，或（ii）假设时变心肌激活的机电模型。这些心肌激活的建模假设对临床相关指标（如心肌应变）的影响，通常用于心脏模型的验证，但尚未被系统地检查，导致它们对这些模型预测的影响存在不确定性。本研究考察了同时（机械）、均匀心内膜、3片心内膜（模拟His-Purkinje系统的神经束）和1片心内膜（模拟房室结）兴奋序列对合成人左心室模型的机械反应的影响。研究了激活时间和收缩峰时的影响。机电模型和力学模型在收缩期早期产生了不同的应变分布。然而，随着收缩期的进展，这些差异逐渐消失。在相同的激活时间（74 ms）下，各模型之间的平均收缩峰值周应变差为0.65±0.37%。而稍微延长激活时间（134 ms）则没有显著的差异增加（0.76±0.47%）。在延长激活时间（200毫秒）时，观察到的差异高达3.5%。与其他模型相比，心内膜兴奋产生非生理性累积激活时间分布。室间隔1片兴奋导致早期收缩应变反应，类似病理性左束支阻滞。缩短的峰值收缩时间夸大了电生理的作用。研究发现，在生理甚至轻微的病理激活持续时间内，激励序列对收缩期峰值应变分布的影响最小。然而，具有（病理）生理信息激活序列的机电模型对于准确预测早期收缩和病理晚期收缩反应是重要的。

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