{"title":"Trends and developments in 3D photoacoustic imaging systems: A review of recent progress","authors":"Fikhri Astina Tasmara , Mitrayana Mitrayana , Andreas Setiawan , Takuro Ishii , Yoshifumi Saijo , Rini Widyaningrum","doi":"10.1016/j.medengphy.2024.104268","DOIUrl":"10.1016/j.medengphy.2024.104268","url":null,"abstract":"<div><div>Photoacoustic imaging (PAI) is a non-invasive diagnostic imaging technique that utilizes the photoacoustic effect by combining optical and ultrasound imaging systems. The development of PAI is mostly centered on the generation of a high-quality 3D reconstruction system for more optimal and accurate identification of tissue abnormalities. This literature study was conducted to analyze the 3D image reconstruction in PAI over 2017–2024. In this review, the collected articles in 3D photoacoustic imaging were categorized based on the approach, design, and purpose of each study. Firstly, the approaches of the studies were classified into three groups: experimental studies, numerical simulation, and numerical simulation with experimental validation. Secondly, the design of the study was assessed based on the photoacoustic modality, laser type, and sensing mechanism. Thirdly, the purpose of the collected studies was summarized into seven subsections, including image quality improvement, frame rate improvement, image segmentation, system integration, inter-systems comparisons, improving computational efficiency, and portable system development. The results of this review revealed that the 3D PAI systems have been developed by various research groups, suggesting the investigation of numerous biological objects. Therefore, 3D PAI has the potential to contribute a wide range of novel biological imaging systems that support real-time biomedical imaging in the future.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"135 ","pages":"Article 104268"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advances and future trends in the detection of beta-amyloid: A comprehensive review","authors":"Atri Ganguly , Srivalliputtur Sarath Babu , Sumanta Ghosh , Ravichandiran Velyutham , Govinda Kapusetti","doi":"10.1016/j.medengphy.2024.104269","DOIUrl":"10.1016/j.medengphy.2024.104269","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"135 ","pages":"Article 104269"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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
{"title":"2D human pose tracking in the cardiac catheterisation laboratory with BYTE","authors":"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","doi":"10.1016/j.medengphy.2024.104270","DOIUrl":"10.1016/j.medengphy.2024.104270","url":null,"abstract":"<div><div>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 <span><span>https://github.com/RM-8vt13r/PoseBYTE</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"135 ","pages":"Article 104270"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rabia Altunay , Kalevi Vesterinen , Pasi Alander , Eero Immonen , Andreas Rupp , Lassi Roininen
{"title":"Denture reinforcement via topology optimization","authors":"Rabia Altunay , Kalevi Vesterinen , Pasi Alander , Eero Immonen , Andreas Rupp , Lassi Roininen","doi":"10.1016/j.medengphy.2024.104272","DOIUrl":"10.1016/j.medengphy.2024.104272","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"135 ","pages":"Article 104272"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143095986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Thermal imaging for characterization of skin adaptation in prosthesis users","authors":"Joan E Sanders, Conor L Lanahan, Joseph C Mertens","doi":"10.1016/j.medengphy.2024.104279","DOIUrl":"10.1016/j.medengphy.2024.104279","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"135 ","pages":"Article 104279"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaolin Wu , Kaspar M.B. Jansen , Jos J.M. Westenberg , Hildo J. Lamb , Saša Kenjereš
{"title":"Aortic strain, flow pattern and wall shear stress in a patient-specific compliant aorta replica using Shake-the-Box","authors":"Xiaolin Wu , Kaspar M.B. Jansen , Jos J.M. Westenberg , Hildo J. Lamb , Saša Kenjereš","doi":"10.1016/j.medengphy.2024.104263","DOIUrl":"10.1016/j.medengphy.2024.104263","url":null,"abstract":"<div><div>High-fidelity <em>in vitro</em> 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 <em>in vitro</em> 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 <em>in vivo</em> 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<sup>–3</sup> mmHg<sup>-1</sup>. In addition, the obtained flow pattern and WSS distribution were found in a good agreement with <em>in vivo</em> 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 <em>in silico</em> fluid-structure interaction models, or as a complement to <em>in vivo</em> measurements.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"135 ","pages":"Article 104263"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Long-duration electrocardiogram classification based on Subspace Search VMD and Fourier Pooling Broad Learning System","authors":"Xiao-li Wang , Run-jie Wu , Qi Feng , Jian-bin Xiong","doi":"10.1016/j.medengphy.2024.104267","DOIUrl":"10.1016/j.medengphy.2024.104267","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"135 ","pages":"Article 104267"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hearing the unheard: Fundamentals of acoustic emission signals as predictors of total hip arthroplasty implant loosening","authors":"Magnus Reulbach , Longwei Cong , Bernd-Arno Behrens , Eike Jakubowitz","doi":"10.1016/j.medengphy.2024.104266","DOIUrl":"10.1016/j.medengphy.2024.104266","url":null,"abstract":"<div><div>Implant loosening remains a primary cause of failure of total hip arthroplasty<span><span><sup>1</sup></span></span> (THA) and is often detected late, when pain occurs. Acoustic emission<span><span><sup>2</sup></span></span> (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 <em>in vitro</em> 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 TiAl<sub>6</sub>V<sub>4</sub> 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 <em>in vitro</em> studies.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"134 ","pages":"Article 104266"},"PeriodicalIF":1.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eleonora Costagliola , Francesco Musumeci , Caterina Gandolfo , Michele Pilato , Salvatore Pasta
{"title":"Merging mixed reality and computational modeling for enhanced visualization of cardiac biomechanics","authors":"Eleonora Costagliola , Francesco Musumeci , Caterina Gandolfo , Michele Pilato , Salvatore Pasta","doi":"10.1016/j.medengphy.2024.104258","DOIUrl":"10.1016/j.medengphy.2024.104258","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"134 ","pages":"Article 104258"},"PeriodicalIF":1.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}