IEEE Transactions on Biomedical Engineering最新文献

{"title":"Enhancing Passive Cavitation Imaging Using p^th Root Compression Delay, Sum, and Integrate Beamforming: In Vitro and in Vivo Studies.","authors":"Abhinav Kumar Singh, Pankaj Warbal, Katia Flores Basterrechea, Kenneth Bader, Himanshu Shekhar","doi":"10.1109/TBME.2025.3540101","DOIUrl":"10.1109/TBME.2025.3540101","url":null,"abstract":"<p><strong>Objective: </strong>Passive cavitation imaging (PCI) derived metrics can serve as surrogates for the outcome of bubble-mediated therapies. Passive cavitation imaging is limited by poor axial resolution and side lobe artifacts, particularly when algorithms such as delay, sum and integrate (DSI) beamforming are used. Methods to improve PCI performance remain an active research area given the need to balance imaging performance with computational complexity. The current study evaluated p^th root compression delay, sum and integrate (prDSI) beamforming for PCI using in vitro and in vivo cavitation data collected with insonation parameters relevant to drug delivery, histotripsy ablation, and combined histotripsy and drug therapy.</p><p><strong>Methods: </strong>First, PCI was performed on a flow phantom perfused with ultrasound contrast agent (SonoVue) exposed to focused ultrasound. Next, the performance of prDSI was assessed on histotripsy bubble clouds generated in a red blood cell (RBC)-doped phantom. Finally, PCI was performed on data collected during histotripsy ablation of a thrombus in the femoral vein of a pig. Acoustic emissions generated by cavitation were recorded and processed with DSI, robust Capon, and prDSI beamforming. The imaging performance was evaluated using the axial width, signal-to-interference ratio, and binary statistical analysis-derived metrics.</p><p><strong>Results: </strong>The prDSI approach demonstrated comparable imaging performance to RCB, both in vitro and in vivo based on binary statistical metrics. Considerable improvement was observed in axial width and signal-to- interference ratio, while incurring only a moderately higher computational cost relative to standard DSI beamforming.</p><p><strong>Conclusions: </strong>The findings of this study demonstrate the potential of prDSI for monitoring of cavitation-mediated therapies.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling tissue electroporation: effects of electric field direction change between pulses and increased conductivity in post-IRE regions.","authors":"Fei Guo, Xinghe Gou, Cong Zou","doi":"10.1109/TBME.2025.3543237","DOIUrl":"10.1109/TBME.2025.3543237","url":null,"abstract":"<p><strong>Objective: </strong>Irreversible electroporation (IRE) is a non-thermal tissue ablation technique that induces tissue ablation by applying high-voltage pulses through electrodes. In this paper, an improved numerical model for tissue IRE ablation, which includes the influence of electric field direction change between pulses and increased conductivity in post-IRE regions is developed for the first time. Our objective is to investigate the impact of these two factors on IRE ablation from a simulation perspective, providing guidance for preclinical treatment planning of tumors.</p><p><strong>Methods: </strong>We established a linear relationship between the angle of electric field direction change between previous pulse and latter pulse and the IRE threshold, and applied this relationship and increased conductivity in IRE regions during the previous pulse into modeling the tissue IRE ablation during the latter pulse sequentially.</p><p><strong>Results: </strong>Our study found that, compared to the traditional model, the improved model resulted in a reduction of 14.40 % in IRE area and 9.18 % in electroporation (EP) area over one cycle. The prediction accuracy of the improved simulation model was validated through potato slice experiments.</p><p><strong>Conclusion: </strong>Incorporating changes in electric field direction and increased conductivity in post-IRE regions into the numerical model significantly affects tissue parameters and ablation area.</p><p><strong>Significance: </strong>This improved modeling approach provides a more accurate prediction of ablation areas, which can enhance the precision of preclinical treatment planning for tumors.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IEEE Transactions on Biomedical Engineering Information for Authors","authors":"","doi":"10.1109/TBME.2025.3529143","DOIUrl":"https://doi.org/10.1109/TBME.2025.3529143","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 3","pages":"C3-C3"},"PeriodicalIF":4.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10897233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative Ultrasonic Backscatter Evaluation of Elastic and Mechanical Property in a Rabbit Tendinopathy Healing Model.","authors":"Qian Zheng, Min He, Mengyao Liu, Shuxin Sun, Chengcheng Liu, Ying Li, Lixin Jiang, Dean Ta","doi":"10.1109/TBME.2025.3544327","DOIUrl":"10.1109/TBME.2025.3544327","url":null,"abstract":"<p><strong>Objective: </strong>This study investigates the feasibility of non-invasive ultrasound backscatter techniques for quantitative tendon characterization.</p><p><strong>Methods: </strong>Sixty-six New Zealand white rabbits were divided into three groups: normal control group (NC group), model control group (MC group), and low-intensity pulsed ultrasound (LIPUS) treatment group (LT group). Tendinopathy models were induced in MC and LT groups, with the LT group receiving LIPUS intervention and the MC group receiving sham ultrasound therapy. The NC group underwent no treatment. Ultrasound backscatter signals were acquired in vitro and in vivo using a 3.5 MHz unfocused transducer at 1, 4, 7, 14, and 28 days post-intervention. Signals of interest (SOI) from the Achilles tendon were extracted based on in vitro monolayer tissue and in vivo multilayer tissue models. The backscatter parameters including average integrated backscatter (AIB), spectral centroid shift (SCS), frequency slope of apparent backscatter (FSAB), and frequency intercept of apparent backscatter (FIAB) were calculated and analyzed to ultrasound elastic and mechanical properties.</p><p><strong>Results: </strong>The results revealed that backscatter parameters were strongly correlated with ultrasonic elastic properties and weakly correlated with mechanical properties, generally exhibiting negative correlations. Notably, AIB demonstrated stable characterization capability for both ultrasonic elastic and mechanical properties (in vitro: r = -0.71 for shear modulus; r = -0.43 for tensile modulus; in vivo: r = -0.70 for shear modulus; r = -0.50 for tensile modulus).</p><p><strong>Conclusion: </strong>This study validates the use of quantitative ultrasound backscatter as a viable technique for assessing tendon properties.</p><p><strong>Significance: </strong>ultrasound backscatter offers potential applications in tendon characterization.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design, Fabrication and Test of a Lightweight 3.0 T Cryogen-Free MRI System with GM refrigerator for Imaging Small Animals and Materials.","authors":"Jinhao Liu, Miutian Wang, Youheng Sun, Kaisheng Lin, Wenchen Wang, Yaohui Wang, Weimin Wang, Qiuliang Wang, Feng Liu","doi":"10.1109/TBME.2025.3544283","DOIUrl":"10.1109/TBME.2025.3544283","url":null,"abstract":"<p><strong>Objective: </strong>To construct and evaluate a lightweight, high-performance and cost-effective 3.0 T MRI system with enhanced spatiotemporal magnetic field characteristics for advanced imaging applications.</p><p><strong>Methods: </strong>A lightweight 3.0 T cryogen-free magnet weighing $sim$1100 kg was developed. Key optimizations included conduction-cooled pathway, vibration isolation, mechanical damping, and structural stability to ensure long-term magnetic field stability. Customized imaging sequences incorporated navigator echo corrections were developed to address residual vibrations. A gradient coil was designed with 200 mT/m peak amplitude and advanced shielding to minimize magnet-coil interactions. Passive shimming and active shim coils were integrated to improve spatial magnetic field homogeneity.</p><p><strong>Results: </strong>The 5 Gauss line of the superconducting magnet was constrained to 1.80 m × 1.20 m. Temporal magnetic field fluctuations were reduced by 99.81%, decreasing from 2.168 $&micro;$ T to 0.004 $&micro;$ T. Passive shimming achieved spatial peak-to-peak and root mean square error (RMSE) homogeneity of 22.41 parts per million (ppm) and 3.69 ppm over a 180 mm diameter of spherical volume (DSV), with further improvements to 4.18 ppm and 1.02 ppm through active shim coils. Gradient shield coils confined stray fields to 1.2 Gauss and reduced residual eddy fields. A complete MRI system was constructed with a home-built console and a radio frequency (RF) coil. High-resolution imaging of the mouse brain and detailed analysis of plastic parts and porous media were achieved, with accelerated algorithms reducing scan times significantly.</p><p><strong>Conclusion: </strong>The newly developed 3.0 T MRI system demonstrates superior spatiotemporal magnetic field stability and imaging capabilities. It offers significant improvements in image quality and resolution for various applications, including small animal studies and material characterization.</p><p><strong>Significance: </strong>The enhanced performance of this cryogen-free MR system represents a significant advancement in brain science, plastics, and porous media imaging technology.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143541642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IEEE Transactions on Biomedical Engineering Handling Editors Information","authors":"","doi":"10.1109/TBME.2025.3529145","DOIUrl":"https://doi.org/10.1109/TBME.2025.3529145","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 3","pages":"C4-C4"},"PeriodicalIF":4.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10897239","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IEEE Engineering in Medicine and Biology Society Information","authors":"","doi":"10.1109/TBME.2025.3529141","DOIUrl":"https://doi.org/10.1109/TBME.2025.3529141","url":null,"abstract":"","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"72 3","pages":"C2-C2"},"PeriodicalIF":4.4,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10897243","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling.","authors":"Xiao Jiang, Grace J Gang, J Webster Stayman","doi":"10.1109/TBME.2025.3543747","DOIUrl":"https://doi.org/10.1109/TBME.2025.3543747","url":null,"abstract":"<p><strong>Objective: </strong>Accurate material decomposition is critical for many spectral CT applications. In this work, we introduce a novel framework-spectral diffusion posterior sampling (Spectral DPS)-designed for one-step reconstruction and multi-material decomposition.</p><p><strong>Methods: </strong>Spectral DPS combines sophisticated prior information captured by one-time unconditional network training and an arbitrary analytic physical system model. Built upon the general DPS framework for nonlinear inverse problems, Spectral DPS incorporates several DPS strategies from our previous work, including jumpstart sampling, Jacobian approximation, and multi-step likelihood updates. The effectiveness of Spectral DPS was evaluated on a simulated dual-layer and a kV-switching spectral system as well as on a physical cone-beam CT (CBCT) test bench.</p><p><strong>Results: </strong>In comparison with other diffusion-based algorithms, Spectral DPS showed significant improvements in reducing sampling variability and computational costs over Baseline DPS. Additionally, Spectral DPS outperformed Conditional Denoising Diffusion Probabilistic Model (DDPM), which was trained on specific imaging conditions, in terms of imaging accuracy and robustness across different imaging protocols. In the physical phantom study, Spectral DPS achieved a 1% error in estimating the mean density in a homogeneous region, while effectively avoiding the introduction of false structures seen in Baseline DPS.</p><p><strong>Conclusion: </strong>Both simulation and physical phantom studies demonstrated the superior performance of Spectral DPS on accurate, stable, and fast material decomposition.</p><p><strong>Significance: </strong>Proposed Spectral DPS provided a novel and general material-decomposition framework which can effectively combine learning-based prior and physics-based spectral model. This method can be applied to various spectral CT systems and basis materials.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Pelvis and Lower Limb Coordination in Stroke Patients Using Smartphone-based Motion Capture.","authors":"Yinghu Peng, Wei Wang, Yangkang Zeng, Zhenxian Chen, Hai Li, Guanglin Li","doi":"10.1109/TBME.2025.3543346","DOIUrl":"10.1109/TBME.2025.3543346","url":null,"abstract":"<p><p>Understanding the coordination between the pelvis and lower limbs in individuals with hemiplegic gait is crucial for deciphering their walking patterns. While studies have focused on lower limb kinematics in stroke patients, research on pelvis-lower limb coordination remains limited. This study aims to assess pelvis-lower limb coordination and kinematics in stroke patients using statistical parametric mapping (SPM) and smartphonebased markerless motion capture. Seventeen stroke patients and twenty healthy individuals were recruited to collect locomotion data using dual smartphone videos. For comparison, the time-series coordination of the pelvis-thigh, thigh-shank, and shank-foot among the control, paretic, and nonparetic limbs were analyzed using SPM and continuous relative phase (CRP). The results showed that there were significant differences (p < 0.05) in the CRP curves of the pelvis-thigh in the sagittal plane (50 - 62% of the gait cycle), pelvis-thigh in the coronal plane (0 - 100% of the gait cycle), thigh-shank (65 - 92% of the gait cycle), and shank-foot (13 - 29% and 57 - 68% of the gait cycle) across the different segments. Assessing the coordination and kinematics of the pelvis and lower limbs using a feasible and portable motion capture technique could assist clinicians in identifying potential muscle dysfunction while uncovering the compensatory strategies that individuals with hemiplegic gait may use to maintain balance, stability, and propulsion during walking. These results could guide clinicians in targeting interventions to reduce spasticity and strengthen muscles, ultimately enhancing coordination, optimizing gait mechanics, and improving functional outcomes.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DEISM: Deep Reconstruction Framework with Self-calibration Mechanisms for Accelerated Chemical Exchange Saturation Transfer Imaging.","authors":"Jianping Xu, Tao Zu, Yi-Cheng Hsu, Xiaoli Wang, Kannie W Y Chan, Yi Zhang","doi":"10.1109/TBME.2025.3543403","DOIUrl":"10.1109/TBME.2025.3543403","url":null,"abstract":"<p><strong>Objective: </strong>The prolonged scan time of chemical exchange saturation transfer (CEST) imaging, caused by multiple data acquisitions over the varying saturation offset frequencies, necessitates accelerated imaging techniques. In this work, the artifact information is exploited as an important prior for CEST image reconstruction by exploring the spatial-frequential redundancy in the artifact field. Specifically, we proposed a novel deep reconstruction framework with self-calibration mechanisms (DEISM) for highly accelerated CEST imaging. DEISM features two successively concatenated structures: i) a model-based network responsible for initial image reconstruction from undersampled multi-coil k-space data, and ii) a data-driven artifact suppression (AS) network that estimates and corrects the residual artifacts in a self-calibrated manner. In addition, a novel encoder-decoder architecture with a multi-scale feature fusion mechanism is developed and utilized for robust artifact estimation and artifact correction. We trained the DEISM framework end-to-end using simulated data, and evaluated its performance on both healthy volunteers and brain tumor patients, using retrospectively or prospectively undersampled data at various acceleration factors. Experimental results demonstrated the feasibility of the data-driven AS concept and the effectiveness of exploiting the spatial-frequential correlation in the artifact field. By integrating the image artifact priors into the learning-based CEST image reconstruction process, DEISM can provide high-quality source images, molecular maps, and CEST spectra, outperforming the other conventional and state-of-the-art reconstruction techniques.</p>","PeriodicalId":13245,"journal":{"name":"IEEE Transactions on Biomedical Engineering","volume":"PP ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}