IEEE Open Journal of Engineering in Medicine and Biology最新文献

Training Indoor and Scene-Specific Semantic Segmentation Models to Assist Blind and Low Vision Users in Activities of Daily Living 训练室内和场景特定的语义分割模型，以帮助盲人和低视力用户进行日常生活活动

IF 2.9

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-09-09 DOI: 10.1109/OJEMB.2025.3607816

Ruijie Sun;Giles Hamilton-Fletcher;Sahil Faizal;Chen Feng;Todd E. Hudson;John-Ross Rizzo;Kevin C. Chan

{"title":"Training Indoor and Scene-Specific Semantic Segmentation Models to Assist Blind and Low Vision Users in Activities of Daily Living","authors":"Ruijie Sun;Giles Hamilton-Fletcher;Sahil Faizal;Chen Feng;Todd E. Hudson;John-Ross Rizzo;Kevin C. Chan","doi":"10.1109/OJEMB.2025.3607816","DOIUrl":"https://doi.org/10.1109/OJEMB.2025.3607816","url":null,"abstract":"<italic>Goal: Persons with blindness or low vision (pBLV) face challenges in completing activities of daily living (ADLs/IADLs). Semantic segmentation techniques on smartphones, like DeepLabV3+, can quickly assist in identifying key objects, but their performance across different indoor settings and lighting conditions remains unclear. <italic>Methods: Using the MIT ADE20K SceneParse150 dataset, we trained and evaluated AI models for specific indoor scenes (kitchen, bedroom, bathroom, living room) and compared them with a generic indoor model. Performance was assessed using mean accuracy and intersection-over-union metrics. <italic>Results: Scene-specific models outperformed the generic model, particularly in identifying ADL/IADL objects. Models focusing on rooms with more unique objects showed the greatest improvements (bedroom, bathroom). Scene-specific models were also more resilient to low-light conditions. <italic>Conclusions: These findings highlight how using scene-specific models can boost key performance indicators for assisting pBLV across different functional environments. We suggest that a dynamic selection of the best-performing models on mobile technologies may better facilitate ADLs/IADLs for pBLV.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"533-539"},"PeriodicalIF":2.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11153825","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145141639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discriminating Between Marijuana and Alcohol Gait Impairments Using Tile CNN With TICA Pooling 用Tile CNN和TICA池鉴别大麻和酒精步态障碍

IF 2.9

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-09-09 DOI: 10.1109/OJEMB.2025.3607556

Ruojun Li;Samuel Chibuoyim Uche;Emmanuel Agu;Kristin Grimone;Debra S. Herman;Jane Metrik;Ana M. Abrantes;Michael D. Stein

{"title":"Discriminating Between Marijuana and Alcohol Gait Impairments Using Tile CNN With TICA Pooling","authors":"Ruojun Li;Samuel Chibuoyim Uche;Emmanuel Agu;Kristin Grimone;Debra S. Herman;Jane Metrik;Ana M. Abrantes;Michael D. Stein","doi":"10.1109/OJEMB.2025.3607556","DOIUrl":"https://doi.org/10.1109/OJEMB.2025.3607556","url":null,"abstract":"<italic>Goal: To investigate whether machine learning analyses of smartphone sensor data can discriminate whether a subject consumed alcohol or marijuana from their gait. <italic>Methods: Using first-of-a-kind impaired gait datasets, we propose <italic>MariaGait, a novel deep learning approach to distinguish between marijuana and alcohol impairment. Subjects' time-series smartphone accelerometer and gyroscope sensor gait data are first encoded into Gramian Angular Field (GAF) images that are then classified using a tiled Convolutional Neural Network (CNN) with TICA pooling. To mitigate the insufficiency of positively labeled alcohol and marijuana instances, the tiled CNN was pre-trained on sober gait samples that were more abundant. <italic>Results: <italic>MariaGait achieved an accuracy of 94.61%, F1 score of 88.61%, and 94.33% ROC AUC score in classifying whether the subject consumed alcohol or marijuana, outperforming baseline models including Multi-Layer Perceptron (MLP), Long Short Term Memory (LSTM), Multi-head CNN and Multi-head LSTM, Random Forest and Support Vector Machines (SVM)). <italic>Conclusions: Our results demonstrate that <italic>MariaGait could be a practical, non-invasive approach to determine which substance a subject is impaired by from their gait.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"540-548"},"PeriodicalIF":2.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11153826","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling the Complex Susceptibility of Magnetic Nanocomposites for Deep-Seated Tumor Hyperthermia 磁性纳米复合材料对深部肿瘤热疗的复杂敏感性建模

IF 2.9

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-07-28 DOI: 10.1109/OJEMB.2025.3593083

Matteo B. Lodi;Nicola Curreli;Giuseppe Mazzarella;Alessandro Fanti

{"title":"Modeling the Complex Susceptibility of Magnetic Nanocomposites for Deep-Seated Tumor Hyperthermia","authors":"Matteo B. Lodi;Nicola Curreli;Giuseppe Mazzarella;Alessandro Fanti","doi":"10.1109/OJEMB.2025.3593083","DOIUrl":"https://doi.org/10.1109/OJEMB.2025.3593083","url":null,"abstract":"<italic>Goal: Magnetic scaffolds (MagS), obtained by loading polymers with magnetic nanoparticles (MNPs) or by chemical doping of bio-ceramics, can be implanted and used as thermo-seeds for interstitial cancer therapy if exposed to radiofrequency (RF) magnetic fields. MagS have the potential to pave new therapeutic routes for the treatment of deep-seated tumors, such as bone cancers or biliary tumors. However, the studies of their fundamental RF magnetic properties and the understanding of the heat dissipation mechanism are underdeveloped. Therefore, in this work an in-depth analysis of the magnetic susceptibility spectra of several representative nanocomposites thermoseeds found in the literature is performed. <italic>Methods: A Cole-Cole model, instead of the Debye formulation, is proposed and analyzed to interpret the experimentally observed different power dissipation, due to hindered Brownian relaxation and large dipole-dipole and particle-particle interactions. To this aim, a fitting procedure based on genetic algorithm is used to derive the Cole-Cole model parameters. <italic>Results: The proposed Cole-Cole model can interpret the MNPs response when dispersed in solution and when embedded in the biomaterial. Significant differences in the equilibrium susceptibility, relaxation times and, especially, the broadening parameter are observed between the ferrofluid and MagS systems. The fitting errors are below 3%, on average. Non-linear relationships between the dipole-dipole interaction dimensionless number and the Cole-Cole parameters are found. <italic>Conclusions: The findings can foster MagS design and help planning their use for RF hyperthermia treatment, ensuring a high-quality therapy.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"523-532"},"PeriodicalIF":2.9,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11097358","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Does Reduced Reactivity Explain Altered Postural Control in Parkinson's Disease? A Predictive Simulation Study 反应性降低能否解释帕金森病患者姿势控制的改变？预测模拟研究

IF 2.9

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-07-18 DOI: 10.1109/OJEMB.2025.3590580

Julian Shanbhag;Sophie Fleischmann;Iris Wechsler;Heiko Gassner;Jürgen Winkler;Bjoern M. Eskofier;Anne D. Koelewijn;Sandro Wartzack;Jörg Miehling

{"title":"Does Reduced Reactivity Explain Altered Postural Control in Parkinson's Disease? A Predictive Simulation Study","authors":"Julian Shanbhag;Sophie Fleischmann;Iris Wechsler;Heiko Gassner;Jürgen Winkler;Bjoern M. Eskofier;Anne D. Koelewijn;Sandro Wartzack;Jörg Miehling","doi":"10.1109/OJEMB.2025.3590580","DOIUrl":"https://doi.org/10.1109/OJEMB.2025.3590580","url":null,"abstract":"Postural instability represents one of the cardinal symptoms of Parkinson's disease (PD). Still, internal processes leading to this instability are not fully understood. Simulations using neuromusculoskeletal human models can help understand these internal processes leading to PD-associated postural deficits. In this paper, we investigated whether reduced reactivity amplitudes resulting from impairments due to PD can explain postural instability as well as increased muscle tone as often observed in individuals with PD. To simulate reduced reactivity, we gradually decreased previously optimized gain factors within the postural control circuitry of our model performing a quiet upright standing task. After each reduction step, the model was again optimized. Simulation results were compared to experimental data collected from 31 individuals with PD and 31 age- and sex-matched healthy control participants. Analyzing our simulation results, we showed that muscle activations increased with a model's reduced reactivity, as well as joint angles' ranges of motion (ROMs). However, sway parameters such as center of pressure (COP) path lengths and COP ranges did not increase as observed in our experimental data. These results suggest that a reduced reactivity does not directly lead to increased sway parameters, but could cause increased muscle tone leading to subsequent postural control alterations. To further investigate postural stability using neuromusculoskeletal models, analyzing additional internal model parameters and tasks such as perturbed upright standing requiring comparable reaction patterns could provide promising results. By enhancing such models and deepening the understanding of internal processes of postural control, these models may be used to assess and evaluate rehabilitation interventions in the future.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"515-522"},"PeriodicalIF":2.9,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11083745","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144868195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human–Computer Vision Collaborative Measurement of Surgical Exposure and Length in Endonasal Endoscopic Skull Base Surgery 鼻内窥镜颅底手术中手术暴露和手术长度的人机视觉协同测量

IF 2.7

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-07-10 DOI: 10.1109/OJEMB.2025.3587947

Chia-En Wong;Yu-Chen Kuo;Da-Wei Huang;Pei-Wen Chen;Heng-Jui Hsu;Wei-Ting Lee;Shang-Yu Hung;Jung-Shun Lee;Sheng-Fu Liang

{"title":"Human–Computer Vision Collaborative Measurement of Surgical Exposure and Length in Endonasal Endoscopic Skull Base Surgery","authors":"Chia-En Wong;Yu-Chen Kuo;Da-Wei Huang;Pei-Wen Chen;Heng-Jui Hsu;Wei-Ting Lee;Shang-Yu Hung;Jung-Shun Lee;Sheng-Fu Liang","doi":"10.1109/OJEMB.2025.3587947","DOIUrl":"https://doi.org/10.1109/OJEMB.2025.3587947","url":null,"abstract":"<italic>Objective: This study aimed to develop and validate a computer vision (CV)-based system to quantitatively analyze surgical exposure in endonasal endoscopic approach (EEA). <italic>Results: The number of pixels of the length or area of interest in the selected frame in the EEA video was measured using a reference instrument. The measured length and area were calibrated by training the current algorithm using EEA videos. A total of 50 EEA operative videos were analyzed, with 95.1%, 95.8%, and 96.2% accuracies in the training, test-1 and test-2 datasets, respectively. The CV-base model was validated using intercarotid distance and sellar height. Compared to neuronavigation, CV-based analysis reduced the time required for area measurement by 89% (p < 0.001). Our CV-based analysis showed that a smaller lateral (p = 0.001) and area (p = 0.024) surgical exposure were associated with residual tumors. <italic>Conclusions: CV-based analysis can accurately measure the surgical exposure in EEA videos and reduce the time required to measure surgical areas. The application of AI and CV can expedite quantitative analysis of surgical exposure in EEA surgeries.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"480-487"},"PeriodicalIF":2.7,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11077379","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying CineECG Output for Enhancing Electrocardiography Signals Classification 量化CineECG输出增强心电图信号分类

IF 2.9

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-07-10 DOI: 10.1109/OJEMB.2025.3587993

MHD Jafar Mortada;Agnese Sbrollini;Ilaria Marcantoni;Erica Iammarino;Laura Burattini;Peter Van Dam

{"title":"Quantifying CineECG Output for Enhancing Electrocardiography Signals Classification","authors":"MHD Jafar Mortada;Agnese Sbrollini;Ilaria Marcantoni;Erica Iammarino;Laura Burattini;Peter Van Dam","doi":"10.1109/OJEMB.2025.3587993","DOIUrl":"https://doi.org/10.1109/OJEMB.2025.3587993","url":null,"abstract":"CineECG, a vectorcardiography-based method, uses standard 12-lead electrocardiography and 3D heart and torso models to depict the electrical activation path during the heart cycle, offering detailed visualization of cardiac electrical activity without numerical quantification. Our research aims to quantify CineECG outputs by defining 54 features that describe the route, shape, and direction of electrical activation. These features were used to develop a multinomial regression model classifying electrocardiography signals into normal sinus rhythm, left bundle branch block, right bundle branch block, and undetermined abnormalities. Trained and tested on 6,860 signals from the PhysioNet/Computing in Cardiology Challenge 2020 and THEW project, the model achieved an F1 score over 84% (normal sinus rhythm: 93%, left bundle branch block: 93%, right bundle branch block: 90%, undetermined abnormalities: 84%). The results suggest CineECG's potential in enhancing electrocardiography interpretation and aiding in the accurate diagnosis of various abnormalities.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"488-498"},"PeriodicalIF":2.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11077371","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144758368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temporal Dynamics of Functional Connectivity in Temporal and Extra-Temporal Lobe Epilepsy: A Magnetoencephalography-Based Study 颞叶和颞叶外癫痫功能连通性的时间动态：基于脑磁图的研究

IF 2.9

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-07-10 DOI: 10.1109/OJEMB.2025.3587954

Suhas M.V;N. Mariyappa;Karunakar Kotegar;Ravindranadh Chowdary M;Raghavendra K;Ajay Asranna;Viswanathan L.G;Sanjib Sinha;Anitha H

{"title":"Temporal Dynamics of Functional Connectivity in Temporal and Extra-Temporal Lobe Epilepsy: A Magnetoencephalography-Based Study","authors":"Suhas M.V;N. Mariyappa;Karunakar Kotegar;Ravindranadh Chowdary M;Raghavendra K;Ajay Asranna;Viswanathan L.G;Sanjib Sinha;Anitha H","doi":"10.1109/OJEMB.2025.3587954","DOIUrl":"https://doi.org/10.1109/OJEMB.2025.3587954","url":null,"abstract":"<italic>Goal: This study aims to explore the temporal dynamics of functional connectivity in drug-resistant focal epilepsy, focusing on Temporal Lobe Epilepsy (TLE) and Extra-Temporal Lobe Epilepsy (ETLE), using magnetoencephalography (MEG). <italic>Methods: Temporal metrics such as Change Between States, Entropy of Transition Patterns, Entropy of Transition Probabilities, Dwell Time, Stability, and Max L1 Distance derived from dynamic functional connectivity matrices were analyzed across eight frequency bands (delta, theta, alpha, beta, low gamma, mid gamma, high gamma and broadband) in TLE and ETLE patients. <italic>Results: Significant differences were observed between TLE and ETLE. ETLE exhibited more widespread and unpredictable connectivity transitions, while TLE demonstrated localized and structured patterns. Entropy metrics indicated higher randomness in ETLE, and dwell time analysis revealed shorter state persistence in ETLE compared to TLE. <italic>Conclusions: The findings highlight the potential of MEG-based temporal connectivity metrics in characterizing network disruptions in focal epilepsy.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"507-514"},"PeriodicalIF":2.9,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11077383","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomimetic Chitosan-Based Hydrogels for Sustainable Wound Healing With AI/ML Insights 基于仿生壳聚糖的可持续伤口愈合水凝胶与AI/ML的见解

IF 2.7

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-04-18 DOI: 10.1109/OJEMB.2025.3562382

Shourya Bodla;Prince Jain;Anwesha Khanra;Chhavi Sharma;Anupam Jyoti;Shiv Dutt Purohit;Hemant Singh;Abhijeet Singh;Juhi Saxena

{"title":"Biomimetic Chitosan-Based Hydrogels for Sustainable Wound Healing With AI/ML Insights","authors":"Shourya Bodla;Prince Jain;Anwesha Khanra;Chhavi Sharma;Anupam Jyoti;Shiv Dutt Purohit;Hemant Singh;Abhijeet Singh;Juhi Saxena","doi":"10.1109/OJEMB.2025.3562382","DOIUrl":"https://doi.org/10.1109/OJEMB.2025.3562382","url":null,"abstract":"Wound healing process is associated with multifaceted complications and is a functional way to advance the therapeutic process. Polymeric biomaterials exhibit structural mimicry with the extracellular matrix of the tissue to be regenerated and they also avoid chronic inflammation and immunological responses. Chitosan, a biopolymer demonstrates exceptional healing properties because of its biocompatibility, biodegradability, antimicrobial nature and affinity for biomolecules. Biomaterials consisting of chitosan along with herbal extracts could be ideal for wound healing. Click chemistry can provide one of the best ways to combine these bio-actives with chitosan. Advancing wound healing strategies with artificial intelligence /machine learning approaches can be employed further to boost the clinical efficacies of bioactive-loaded chitosan composite hydrogels. This review article investigates functionalized wound dressings with special emphasis on chitosan-based hydrogels, their effects on wound healing, and advanced approaches to increase hydrogel benefits by adding bioactive substances to form nanocomposites.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"450-458"},"PeriodicalIF":2.7,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969627","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Guest Editorial: Special Section on Conformable Decoders 特邀编辑：可兼容解码器特辑

IF 2.7

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-04-11 DOI: 10.1109/OJEMB.2025.3555346

Canan Dagdeviren

引用次数: 0

Motion Compensation in Pulmonary Fluorescence Lifetime Imaging: An Image Processing Pipeline for Artefact Reduction and Clinical Precision 肺荧光寿命成像中的运动补偿：减少伪影和临床精度的图像处理流水线

IF 2.7

IEEE Open Journal of Engineering in Medicine and Biology Pub Date : 2025-04-08 DOI: 10.1109/OJEMB.2025.3558620

Tarek Haloubi;Spencer Angus Thomas;Catherine Hines;Kevin Dhaliwal;James R. Hopgood

{"title":"Motion Compensation in Pulmonary Fluorescence Lifetime Imaging: An Image Processing Pipeline for Artefact Reduction and Clinical Precision","authors":"Tarek Haloubi;Spencer Angus Thomas;Catherine Hines;Kevin Dhaliwal;James R. Hopgood","doi":"10.1109/OJEMB.2025.3558620","DOIUrl":"https://doi.org/10.1109/OJEMB.2025.3558620","url":null,"abstract":"<italic>Goal: This study introduces Temporal Reliability and Accuracy via Correlation Enhanced Registration (TRACER), a novel image processing pipeline that addresses motion artefacts in real-time Fluorescence Lifetime Imaging (FLIm) data for in-vivo pulmonary Optical Endomicroscopy (OEM). Its primary objective is to improve the accuracy and reliability of FLIm image sequences. <italic>Methods: The proposed TRACER pipeline comprises a comprehensive sequence of pre-processing steps and a novel registration approach. This includes the removal of uninformative frames and motion characterisation through dense optical flow, followed by a tracking-based Normalised Cross Correlation image registration method leveraging Channel and Spatial Reliability Tracker for precise alignment. <italic>Results: The complete TRACER pipeline delivers significant performance improvements, with 20% to 30% enhancement across different metrics for all tested registration methods. In particular, the unique TRACER registration approach outperforms state-of-the-art methods in image registration performance and achieves an order-of-magnitude faster runtime than the next best-performing approach. <italic>Conclusion: By addressing motion artefacts through its integrated pre-processing and novel registration strategy, TRACER offers a robust solution that ensures improved image quality and real-time feasibility for FLIm data processing in <italic>in-vivo pulmonary OEM.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"432-441"},"PeriodicalIF":2.7,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10955276","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0