Medical Engineering & Physics最新文献

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Treatment response prediction in rectal cancer patients: A radiomics study of multimodality imaging methods 直肠癌患者的治疗反应预测:多模态成像方法的放射组学研究
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-09-11 DOI: 10.1016/j.medengphy.2025.104434
Yan Huang , Le Lin , Shuke Sun , Huande Hong
{"title":"Treatment response prediction in rectal cancer patients: A radiomics study of multimodality imaging methods","authors":"Yan Huang ,&nbsp;Le Lin ,&nbsp;Shuke Sun ,&nbsp;Huande Hong","doi":"10.1016/j.medengphy.2025.104434","DOIUrl":"10.1016/j.medengphy.2025.104434","url":null,"abstract":"<div><h3>Purpose</h3><div>The present work aims to assess the correlation of radiomics textural features derived from computed tomography (CT), magnetic resonance imaging (MRI), and endorectal ultrasound (EUS) images, combined with dosimetric and clinical features, to predict treatment response in patients with rectal cancer using machine learning algorithms.</div></div><div><h3>Methods</h3><div>Data from 84 individuals diagnosed with locally advanced rectal cancer (LARC) were utilized, and radiomic features were extracted from the specified region of interest. Feature selection was performed using the Least Absolute Shrinkage and Selection Operator (Lasso), Minimum Redundancy Maximum Relevance (MRMR), and Recursive Feature Elimination (RFE). Predictive modeling employed machine learning algorithms, including Support Vector Machine (SVM) and Logistic Regression (LR). Model performance was assessed based on metrics including accuracy (ACC), area under the receiver operating characteristic curve (AUC), precision, sensitivity, and specificity.</div></div><div><h3>Results</h3><div>For CT images, the MRMR method (for original images) and RFE (with a wavelet filter), combined with the LR model, achieved the best performance (ACC: 0.79; AUC: 0.78). The highest predictive performance for MRI radiomic features was obtained using MRMR and the SVM model for original images (ACC: 0.88; AUC: 0.87). Furthermore, for images with the wavelet filter, the combination of RFE and the LR model yielded the best results (ACC: 0.78; AUC: 0.87). For EUS images, the MRMR and LR models showed the best predictive performance for both original (ACC: 0.89; AUC: 0.89) and filtered images (ACC: 0.81; AUC: 0.80).</div></div><div><h3>Conclusion</h3><div>The findings indicate that radiomics features obtained from pretreatment CT, MRI, and EUS images have the potential to accurately predict treatment response in patients with LARC. The SVM and LR classifiers, when combined with MRMR and RFE feature selection algorithms and the wavelet filter, demonstrated robust predictive performance. Among the different imaging modalities, EUS produced the best results in terms of ACC and AUC values.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104434"},"PeriodicalIF":2.3,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099333","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}
引用次数: 0
Robustness analysis of soft Gaussian Mixture Model clustering for acoustic emission features in characterizing osteoarthritic knees 软高斯混合模型聚类对骨关节炎膝关节声发射特征的鲁棒性分析
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-09-11 DOI: 10.1016/j.medengphy.2025.104435
Nazmush Sakib , Tawhidul Islam Khan , Md. Mehedi Hassan , Shuya Ide
{"title":"Robustness analysis of soft Gaussian Mixture Model clustering for acoustic emission features in characterizing osteoarthritic knees","authors":"Nazmush Sakib ,&nbsp;Tawhidul Islam Khan ,&nbsp;Md. Mehedi Hassan ,&nbsp;Shuya Ide","doi":"10.1016/j.medengphy.2025.104435","DOIUrl":"10.1016/j.medengphy.2025.104435","url":null,"abstract":"<div><div>Acoustic emission (AE) is a well-established non-destructive evaluation (NDE) method that currently holds enormous potential for the early detection of knee osteoarthritis (OA). Knee joints have intrinsic complexity, resulting in marked variability of the obtained AE signals. This problem complicates the distinction between the AE signatures of different knee conditions. In this regard, Machine learning (ML) algorithms, particularly the Gaussian Mixture Model (GMM), can solve this problem by identifying the overlapping data points generated from different knee joint conditions. Early studies had limitations in the generalizability of their findings due to the small dataset. Therefore, a comprehensive evaluation of the robustness of soft GMM clustering in handling overlapping data points is needed. The current study constitutes further efforts to bridge this knowledge gap by investigating the robustness of GMM clustering in detecting overlapping AE data from knee joints. This study presents a comprehensive statistical analysis of cluster properties before and after soft GMM clustering to identify and remove overlapping data points. The results of this investigation confirm the robustness of soft GMM in clustering AE features for the intelligent assessment of knee health.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104435"},"PeriodicalIF":2.3,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099456","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}
引用次数: 0
BAEN-SKCNN: A novel framework for scoliosis early screening and severity diagnosis using unclothed back images BAEN-SKCNN:利用裸背图像进行脊柱侧凸早期筛查和严重程度诊断的新框架
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-09-07 DOI: 10.1016/j.medengphy.2025.104429
Jie Cao , Lingfeng Xie , Bingjin Wang , Chao Deng , Changhe Zhang , Zidong Yu
{"title":"BAEN-SKCNN: A novel framework for scoliosis early screening and severity diagnosis using unclothed back images","authors":"Jie Cao ,&nbsp;Lingfeng Xie ,&nbsp;Bingjin Wang ,&nbsp;Chao Deng ,&nbsp;Changhe Zhang ,&nbsp;Zidong Yu","doi":"10.1016/j.medengphy.2025.104429","DOIUrl":"10.1016/j.medengphy.2025.104429","url":null,"abstract":"<div><div>Scoliosis is a common spinal disease and it’s early screening is essential for planning treatment and avoiding deterioration. The traditional screening methods for scoliosis have the disadvantages of unnecessary radiation exposure, the dependence on equipment, and the high demand on operators. Although the advent of deep learning techniques provides a new perspective for rapid and convenient screening of scoliosis, the existing related research faces challenges caused by issues such as image background diversity, image size inconsistency, and class imbalance. In order to solve the about problems, a method based on BAEN-SKCNN is proposed for early screening and severity diagnosis of scoliosis using back images. Specifically, BAEN is constructed to extract the back region to improve the diagnostic accuracy and model universality. Spatial pyramid pooling and selective kernel network are used to construct SKCNN for early screening and severity diagnosis of scoliosis. On a self-made scoliosis dataset, the proposed method achieves 98 % accuracy for early screening and 73 % accuracy for severity diagnosis, respectively. Combined with the APP software developed, the proposed method can easily and quickly complete the diagnosis of scoliosis without the limitation of venues, equipment and personnel. It has a certain application prospect in the large-scale screening of scoliosis, and has certain clinical significance for improving the diagnostic rate of scoliosis.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104429"},"PeriodicalIF":2.3,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049930","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}
引用次数: 0
Multi-objective optimisation of vibration-assisted electrode insertion parameters for DBS using hybrid approach of grey-orthogonal coupled response surface methodology 基于灰色正交耦合响应面法的振动辅助电极插入参数多目标优化
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-09-07 DOI: 10.1016/j.medengphy.2025.104430
Kaiwen Zheng, Songsong Xu, Houru Gao, Tingting Gao, Yan Li
{"title":"Multi-objective optimisation of vibration-assisted electrode insertion parameters for DBS using hybrid approach of grey-orthogonal coupled response surface methodology","authors":"Kaiwen Zheng,&nbsp;Songsong Xu,&nbsp;Houru Gao,&nbsp;Tingting Gao,&nbsp;Yan Li","doi":"10.1016/j.medengphy.2025.104430","DOIUrl":"10.1016/j.medengphy.2025.104430","url":null,"abstract":"<div><div>To minimize brain traumas during deep brain stimulation, multi-objective optimisation of vibration-assisted electrode insertion parameters are investigated using hybrid approach of grey-orthogonal coupled response surface methodology. Based on the LuGre model, mathematical models of friction force under vibration-assisted insertion are established. According to the orthogonal experimental results, the effects of each parameter of insertion performance for vibration-assisted insertion and optimal parameters of a single evaluation index are investigated through range analysis. The optimal parameters under the multi-evaluation indexes and mathematical models for the relationship between the parameters and the evaluation index are determined using grey relational analysis coupled response surface analysis. The results show that the vibration parameter combination optimized by response surface analysis results in excellent insertion performance with a puncture force of 9.656 mN and a friction growth rate of 2.191 mN/mm. The hybrid approach of grey-orthogonal coupled response surface methodology can act as a new methodology for optimizing vibration-assisted insertion parameters.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104430"},"PeriodicalIF":2.3,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099331","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}
引用次数: 0
A 3D phantom for EIT printed in a single part 用于EIT的3D模型打印在单个部件中
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-09-05 DOI: 10.1016/j.medengphy.2025.104428
Andrew Creegan, Bryan Ruddy, Andrew Taberner
{"title":"A 3D phantom for EIT printed in a single part","authors":"Andrew Creegan,&nbsp;Bryan Ruddy,&nbsp;Andrew Taberner","doi":"10.1016/j.medengphy.2025.104428","DOIUrl":"10.1016/j.medengphy.2025.104428","url":null,"abstract":"<div><div>Electrical Impedance Tomography (EIT) is a medical imaging technology that uses electrical current to image the body. Imaging phantoms which act as a well-characterized reference objects are useful for the study of EIT and calibration of EIT devices. A proof of concept of a new type of 3D printed phantom for EIT was recently introduced, and this paper seeks to fully realize this concept by printing a phantom with three-dimensional geometry in a single part and demonstrating how it can be used for the study of EIT. The 3D printed phantoms are printed all-in-one, with internal regions of differing infill density which correspond to differing conductivity, the property imaged by EIT. Three prototype phantoms were printed, including one containing the 3D geometry of the surface of a pair of human lungs. A technique was demonstrated to calibrate an EIT device using measurements taken from a printed phantom, giving similar results to traditional calibration. Images of slices through the 3D phantoms were generated from physical measurements, and were comparable to simulations, giving evidence that the phantoms were sufficiently well characterized. Overall, this is an accessible and effective method for creating phantoms for EIT, and we encourage its wider adoption.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104428"},"PeriodicalIF":2.3,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145019991","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}
引用次数: 0
Research advances, challenges and outlooks of copper-containing scaffolds derived from 3D printing for tissue repair 组织修复用3D打印含铜支架的研究进展、挑战与展望
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-09-04 DOI: 10.1016/j.medengphy.2025.104427
Yue Zhang , Li’ang Zhao , Jiawei Wang , Xiaoxiao Zhao , Huazhe Yang , Wenjing Yu , Na Zhang
{"title":"Research advances, challenges and outlooks of copper-containing scaffolds derived from 3D printing for tissue repair","authors":"Yue Zhang ,&nbsp;Li’ang Zhao ,&nbsp;Jiawei Wang ,&nbsp;Xiaoxiao Zhao ,&nbsp;Huazhe Yang ,&nbsp;Wenjing Yu ,&nbsp;Na Zhang","doi":"10.1016/j.medengphy.2025.104427","DOIUrl":"10.1016/j.medengphy.2025.104427","url":null,"abstract":"<div><div>Bone infection and vascularization remain severe challenges in bone scaffold implantation surgery. Copper-based biomaterials have demonstrated dual functional capabilities for addressing these issues. However, achieving spatially controlled copper (Cu) content and distribution to maximize therapeutic efficacy without inducing cytotoxicity is still challenging. 3D printing technology, with its unique advantages in spatial controllability and personalized structure fabrication, provides a robust platform for developing functional copper-loaded scaffolds. This review systematically summarizes the development of 3D-printed copper-loaded biomaterial scaffolds across multiple material systems. We describe how 3D printing enables precise modulation of Cu ion release kinetics and scaffold architecture through controlled material composition and printing parameters, optimizing mechanical and biological performance. Furthermore, significant bottlenecks hindering clinical translation, particularly copper ion initialburst release and mechanical anisotropy, are highlighted. Strategies for overcoming these challenges are discussed to advance clinical translation of personalized copper-functionalized scaffolds for tissue regeneration.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104427"},"PeriodicalIF":2.3,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027448","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}
引用次数: 0
Optimizing nanoparticle design for selective targeting of breast cancer cells 优化纳米颗粒设计选择性靶向乳腺癌细胞
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-09-02 DOI: 10.1016/j.medengphy.2025.104420
Sarah Iaquinta , Shahram Khazaie , Sylvain Fréour , Frédéric Jacquemin
{"title":"Optimizing nanoparticle design for selective targeting of breast cancer cells","authors":"Sarah Iaquinta ,&nbsp;Shahram Khazaie ,&nbsp;Sylvain Fréour ,&nbsp;Frédéric Jacquemin","doi":"10.1016/j.medengphy.2025.104420","DOIUrl":"10.1016/j.medengphy.2025.104420","url":null,"abstract":"<div><div>Recent efforts in cancer targeting have focused on nanoparticle (NP) drug delivery, yet the complexity of NP uptake makes experimental studies challenging. To streamline this, numerical models help identify key parameters. This study's model, focusing on elliptical NPs, aims to optimize NP aspect ratios for selective uptake by breast cancer cells. Mechanical properties of cells were taken from literature, and the model suggests that non-deformable NPs with aspect ratios between 1/3 and 1/2 are optimal for selective cancer cell internalization. These promising results require experimental validation.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"145 ","pages":"Article 104420"},"PeriodicalIF":2.3,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988764","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}
引用次数: 0
Integrating movement analysis and cardiorespiratory assessment in smart electrically assisted bicycle sessions- Proof of concept - 集成运动分析和心肺评估在智能电动辅助自行车会议-概念证明-
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-09-01 DOI: 10.1016/j.medengphy.2025.104426
Vianney Poiron, Sébastien Letout, Pierre-Yves Gumery, Vincent Nougier, Carole Rolland, Claire Eychenne, Jean-Luc Bosson
{"title":"Integrating movement analysis and cardiorespiratory assessment in smart electrically assisted bicycle sessions- Proof of concept -","authors":"Vianney Poiron,&nbsp;Sébastien Letout,&nbsp;Pierre-Yves Gumery,&nbsp;Vincent Nougier,&nbsp;Carole Rolland,&nbsp;Claire Eychenne,&nbsp;Jean-Luc Bosson","doi":"10.1016/j.medengphy.2025.104426","DOIUrl":"10.1016/j.medengphy.2025.104426","url":null,"abstract":"<div><div>Studies have shown that riding an electrically assisted bicycle is a suitable form of physical activity for rehabilitation. The rise of connected devices has enabled the development of new wearable technologies for health assessment during cycling sessions, such as plethysmography t-shirts for cardiorespiratory monitoring and inertial measurement units for movement analysis.</div><div>This study aims to demonstrate the practical and technical feasibility of embedding measurements during outdoor cycling sessions. It also evaluates the validity of these measurements by comparing them to gold-standard methods in laboratory evaluations.</div><div>Two protocols were conducted: one with six participants to assess feasibility across various outdoor session profiles, and another with 20 participants to compare measurements to gold-standard methods using indoor laboratory equipment.</div><div>The results indicate that a smart electrically assisted bicycle is suitable for outdoor assessment of cardiorespiratory and movement analysis. Furthermore, the embedded equipment provides valid measurements in the laboratory when compared to gold-standard methods across a wide range of activity intensities.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"145 ","pages":"Article 104426"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010467","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}
引用次数: 0
Reducing leads, enhancing wearable practicality: A comparative study of 3-lead vs. 12-lead ECG classification 减少导联,增强可穿戴实用性:3导联与12导联心电图分类的比较研究
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-08-27 DOI: 10.1016/j.medengphy.2025.104419
Sergio González-Cabeza , Mario Sanz-Guerrero , Luis Piñuel , Mauro Luis Buelga Suárez , Gonzalo Luis Alonso Salinas , Marian Diaz-Vicente , Joaquín Recas
{"title":"Reducing leads, enhancing wearable practicality: A comparative study of 3-lead vs. 12-lead ECG classification","authors":"Sergio González-Cabeza ,&nbsp;Mario Sanz-Guerrero ,&nbsp;Luis Piñuel ,&nbsp;Mauro Luis Buelga Suárez ,&nbsp;Gonzalo Luis Alonso Salinas ,&nbsp;Marian Diaz-Vicente ,&nbsp;Joaquín Recas","doi":"10.1016/j.medengphy.2025.104419","DOIUrl":"10.1016/j.medengphy.2025.104419","url":null,"abstract":"<div><div>Inspired by recent advances in clinical research and the growing adoption of wearable ECG devices, this study explores the feasibility of using reduced-lead ECGs for automated detection of heart anomalies using deep learning, providing a more accessible and cost-effective alternative to traditional 12-lead ECGs. This research adapts and evaluates a state-of-the-art 12-lead deep learning model (from Ribeiro et al. <span><span>[1]</span></span>) for 3-lead configurations. The 12-lead ECG model architecture was trained from scratch on the public database PTB-XL. It was then modified to use 3 leads by only changing the input layer. Despite a 75% reduction in input data, the 3-lead model showed only a subtle 3% performance drop. To address this gap, the 3-lead model was further optimized using a novel strategy that combines transfer learning and a One-vs-All classification approach. Using PTB-XL's five-class setup (normal vs. four pathologies: myocardial infarction, ST/T change, conduction disturbance, and hypertrophy), we report the micro-averaged F1-score across all test samples. The new optimized 3-lead model achieves a global (micro-averaged) F1-score of 77% (vs. 78% for the 12-lead model). These findings highlight the potential of simplified and cost-effective reduced-lead classification models to deliver near-equivalent diagnostic accuracy. This advancement could democratize access to early cardiac diagnostics, particularly in resource-limited settings.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"145 ","pages":"Article 104419"},"PeriodicalIF":2.3,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144913386","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}
引用次数: 0
Free-hand 3D ultrasound imaging for vascular access 用于血管通路的徒手三维超声成像
IF 2.3 4区 医学
Medical Engineering & Physics Pub Date : 2025-08-26 DOI: 10.1016/j.medengphy.2025.104424
Jiaqi Yang , Rohit Dey , Nirmala Rajaram , Yang Liu , William F. Weitzel , Yihao Zheng
{"title":"Free-hand 3D ultrasound imaging for vascular access","authors":"Jiaqi Yang ,&nbsp;Rohit Dey ,&nbsp;Nirmala Rajaram ,&nbsp;Yang Liu ,&nbsp;William F. Weitzel ,&nbsp;Yihao Zheng","doi":"10.1016/j.medengphy.2025.104424","DOIUrl":"10.1016/j.medengphy.2025.104424","url":null,"abstract":"<div><div>Vascular access is required to draw the patient’s blood into the dialysis machine and return the filtered blood to the patient during hemodialysis to treat end-stage renal disease. The most reliable vascular access is the arteriovenous fistula (AVF), which unfortunately may develop significant stenosis or obstruction as a major complication. To evaluate the AVF geometry for potential pathological features, this study aims to develop and validate a free-hand 3D ultrasound imaging system using conventional 2D ultrasound scanning with scanner motion data from an electromagnetic (EMT) sensor to spatially register the 2D image planes into a 3D image reconstruction. To temporally synchronize the 2D ultrasound images with the EMT motion data, we developed a scanning protocol that would be practical for clinical settings to simultaneously generate data features in both ultrasound scan data and EMT tracking data. The accuracy and reliability of free-hand 3D ultrasound imaging were assessed using a wire phantom and an AVF ultrasound phantom. The results show that the average normalized root mean square errors of the 3D reconstructed models compared to the wire phantom and the AVF phantom are 0.497 ± 0.144 % and 0.571 ± 0.127 %, respectively, which indicates a high degree of accuracy and consistency. This study demonstrated the efficacy and potential clinical feasibility of using a 2D ultrasound scanner and EMT sensing for free-hand 3D ultrasound imaging of AVF for vascular access monitoring.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"146 ","pages":"Article 104424"},"PeriodicalIF":2.3,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145005358","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}
引用次数: 0
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