Biomedical Engineering, Cardiology and Cardiovascular Medicine
151
Scopus Publications
8407
Scholar Citations
41
Scholar h-index
101
Scholar i10-index
Scopus Publications
Investigation of monotherapeutic high-intensity focused ultrasound therapy for thrombolysis in highly occluded vessels: anin vitrostudy Mohammed Mohammed, Fanbing Cui, Jonghyok Ri, Lisheng Xu, Chunyan Zhang, Stephen E Greenwald Physics in Medicine and Biology, 2026 Objective. The objective of this study is to evaluate the effectiveness of monotherapeutic high-intensity focused ultrasound (HIFU) for thrombolysis in highly occluded vessels using an in vitro model, with emphasis on thermal safety. Approach. HIFU was applied to vessel phantom with various occlusion ratios (60%, 70%, 80%, 90%, and 100%) of the lumen cross-sectional area, each with an equal clot length of 15 mm, under a pulsatile flow of 5 ml min −1 generated by a peristaltic pump operated at 70 rpm. The insonation was conducted at a frequency of 1.1 MHz, power ( P elect ) of 180 W, duty cycle of 0.4%, pulse repetition frequency of 1 Hz and total exposure time of 30 min. A step-by-step exposure technique was employed, where the focus of the HIFU beam was progressively moved from one end of the clot to the other. A multi-layer simulation model was used to estimate the acoustic pressure and temperature at the focal point, with temperature distribution monitored throughout the exposure to ensure thermal safety. Thrombolysis efficiency was assessed by measuring the pre- and post-treatment clot weights. Main results. HIFU achieved a thrombolysis efficiency (defined as fractional reduction in clot weight) of 65.99% at 100% occlusion when high power and step-by-step exposure were used. This efficiency increased to 78.6% at 60% occlusion. These results were achieved while ensuring thermal safety by maintaining the temperature below 43 °C. Significance. This study further confirms that HIFU is a promising non-invasive method for thrombolysis in highly occluded vessels while ensuring thermal safety by using high power and a step-by-step exposure method.
Ferulic Acid Attenuates Aortic Stiffening and Cardiovascular Remodeling by Suppressing Inflammation and the Renin-Angiotensin System in Rats Fed a High-Fat/High-Carbohydrate Diet Ketmanee Senaphan, Weerapon Sangartit, Veerapol Kukongviriyapan, Orachorn Boonla, Stephen E. Greenwald, Upa Kukongviriyapan Journal of Obesity and Metabolic Syndrome, 2025 Background: Ferulic acid (FA) is an antioxidant compound present in cereals, fruits, and vegetables. Chronic consumption of a high-fat and high-carbohydrate (HFHC) diet can lead to metabolic syndrome and increase the risk of atherosclerotic cardiovascular disease. This study examined whether FA could mitigate vascular inflammation, aortic stiffness, and cardiovascular remodeling in rats fed a HFHC diet. Methods: Male Sprague-Dawley rats were divided into five groups (eight rats/group): one group was fed a standard chow diet with or without FA supplementation, while the others were fed a HFHC diet plus a 15% fructose solution for 16 weeks. Rats on the HFHC diet received FA at doses of 0, 30, or 60 mg/kg/day during the final 6 weeks of the study. Various cardiovascular parameters, plasma biochemical markers, and the expression of biomarker proteins were measured. Results: , and vascular-adhesion molecule 1 proteins and prevented hypertrophic remodeling of the aortic wall by reducing protein expression of matrix metalloproteinases 2 and 9. Conclusion: This study provides insightful findings on the beneficial effects of FA in reducing aortic stiffness and cardiovascular remodeling associated with metabolic syndrome.
TSARDC-Net: A Temporal–Spatial Anisotropic Network for Human Activity Recognition Using 3-D Radar Data Cube Nan Bao, Zhikun Li, Jinfei Hou, Yanyan Guo, Wei Qian, Yudong Yao, Stephen E. Greenwald, Lisheng Xu IEEE Transactions on Instrumentation and Measurement, 2025 The application of the 3-D radar data cube (RDC) which integrates time, distance and Doppler frequency information for accurate human activity recognition (HAR), has attracted much recent research interest in the field of smart healthcare. However, existing methods often fail to fully exploit the temporal-spatial characteristics and the anisotropic nature of RDC, limiting their performance in HAR. To address these limitations, we propose a new temporal-spatial anisotropic radar data cube network (TSARDC-Net) for HAR. This network utilizes a convolutional neural networks-long short-term memory (CNN-LSTM) architecture to simultaneously extract spatial and temporal features from radar signals, aiming to obtain joint modeling of the temporal-spatial characteristics of human motion. We adopted a unique anisotropic multi-scale convolution (AMSC) module to address the anisotropic spatial distribution characteristics of RDC and enhance feature extraction capability. We also introduced Squeeze and Excitation normalization (SENM) to adjust the learned features, thereby improving the model’s ability to recognize action features. Furthermore, considering practical deployment requirements, we explored a lightweight strategy based on separable convolutions. We used a public dataset which includes 1,754 samples, recording 6 different human activities. In addition, we recruited a group of volunteers using an off-the-shelf WiFi radar device and obtained a dataset containing 2,148 samples of 5 different activities. TSARDC-Nets were trained separately on these two datasets. Experimental results show that, on the public dataset, the proposed method achieves a classification accuracy of 98.58%, outperforming existing methods. Additionally, the proposed method achieves an accuracy of 95.57% on our dataset, showing good generalization capability.
CT-Less Whole-Body Bone Segmentation of PET Images Using a Multimodal Deep Learning Network Nan Bao, Jiaxin Zhang, Zhikun Li, Shiyu Wei, Jiazhen Zhang, Stephen E. Greenwald, John A. Onofrey, Yihuan Lu, Lisheng Xu IEEE Journal of Biomedical and Health Informatics, 2025 In bone cancer imaging, positron emission tomography (PET) is ideal for the diagnosis and staging of bone cancers due to its high sensitivity to malignant tumors. The diagnosis of bone cancer requires tumor analysis and localization, where accurate and automated wholebody bone segmentation (WBBS) is often needed. Current WBBS for PET imaging is based on paired Computed Tomography (CT) images. However, mismatches between CT and PET images often occur due to patient motion, which leads to erroneous bone segmentation and thus, to inaccurate tumor analysis. Furthermore, there are some instances where CT images are unavailable for WBBS. In this work, we propose a novel multimodal fusion network (MMF-Net) for WBBS of PET images, without the need for CT images. Specifically, the tracer activity ($\lambda$-MLAA), attenuation map ($\mu$-MLAA), and synthetic attenuation map ($\mu$-DL) images are introduced into the training data. We first design a multi-encoder structure employed to fully learn modalityspecific encoding representations of the three PET modality images through independent encoding branches. Then, we propose a multimodal fusion module in the decoder to further integrate the complementary information across the three modalities. Additionally, we introduce revised convolution units, SE (Squeeze-and-Excitation) Normalization and deep supervision to improve segmentation performance. Extensive comparisons and ablation experiments, using 130 whole-body PET image datasets, show promising results. We conclude that the proposed method can achieve WBBS with moderate to high accuracy using PET information only, which potentially can be used to overcome the current limitations of CT-based approaches, while minimizing exposure to ionizing radiation.
Clinical Validation of Carotid-Femoral Pulse Wave Velocity Measurement Using a Multi-Beam Laser Vibrometer: The CARDIS Study Smriti Badhwar, Louise Marais, Hakim Khettab, Federica Poli, Yanlu Li, Patrick Segers, Soren Aasmul, Mirko de Melis, Roel Baets, Steve Greenwald, Rosa Maria Bruno, Pierre Boutouyrie Hypertension, 2024 BACKGROUND: Carotid-femoral pulse wave velocity (cfPWV) is the gold standard for noninvasive arterial stiffness assessment, an independent predictor of cardiovascular disease, and a potential parameter to guide therapy. However, cfPWV is not routinely measured in clinical practice due to the unavailability of a low-cost, operator-friendly, and independent device. The current study validated a novel laser Doppler vibrometry (LDV)-based measurement of cfPWV against the reference technique. METHODS: In 100 (50 men) hypertensive patients, cfPWV was measured using applanation tonometry (Sphygmocor) and the novel LDV device. This device has 2 handpieces with 6 laser beams each that simultaneously measure vibrations from the skin surface at carotid and femoral sites. Pulse wave velocity is calculated using ECG for the identification of cardiac cycles. An ECG-independent method was also devised. Cardiovascular risk score was calculated for patients between 40 and 75 years old using the WHO risk scoring chart. RESULTS: LDV-based cfPWV correlated significantly with tonometry (r=0.86, P <0.0001 ECG-dependent [cfPWV LDV_ECG ] and r=0.80, P <0.001 ECG-independent [cfPWV LDV_w/oECG ] methods). Bland-Altman analysis showed nonsignificant bias (0.65 m/s) and acceptable SD (1.27 m/s) between methods. Intraobserver coefficient of variance for LDV was 4.7% (95% CI, 3.0%–5.5%), and interobserver coefficient of variance was 5.87%. CfPWV correlated significantly with CVD risk (r=0.64, P <0.001; r=0.41, P =0.003; and r=0.37, P =0.006 for tonometry, LDV-with, and LDV-without ECG, respectively). CONCLUSIONS: The study demonstrates clinical validity of the LDV device. The LDV provides a simple, noninvasive, operator-independent method to measure cfPWV for assessing arterial stiffness, comparable to the standard existing techniques. REGISTRATION: URL: https://clinicaltrials.gov/study/NCT03446430 ; Unique identifier: NCT03446430.
Doppler Radar Sensor-Based Fall Detection Using a Convolutional Bidirectional Long Short-Term Memory Model Zhikun Li, Jiajun Du, Baofeng Zhu, Stephen E. Greenwald, Lisheng Xu, Yudong Yao, Nan Bao Sensors, 2024 Falls among the elderly are a common and serious health risk that can lead to physical injuries and other complications. To promptly detect and respond to fall events, radar-based fall detection systems have gained widespread attention. In this paper, a deep learning model is proposed based on the frequency spectrum of radar signals, called the convolutional bidirectional long short-term memory (CB-LSTM) model. The introduction of the CB-LSTM model enables the fall detection system to capture both temporal sequential and spatial features simultaneously, thereby enhancing the accuracy and reliability of the detection. Extensive comparison experiments demonstrate that our model achieves an accuracy of 98.83% in detecting falls, surpassing other relevant methods currently available. In summary, this study provides effective technical support using the frequency spectrum and deep learning methods to monitor falls among the elderly through the design and experimental validation of a radar-based fall detection system, which has great potential for improving quality of life for the elderly and providing timely rescue measures.
COACT: Coronary artery centerline tracker Xiaogang Li, Lianchang Ji, Rongrong Zhang, Hongrui You, Lisheng Xu, Stephen E. Greenwald, Yu Sun, Libo Zhang, Benqiang Yang Medical Physics, 2024 BackgroundThe curved planar reformation (CPR) technique is one of the most commonly used methods in clinical practice to locate coronary arteries in medical images.PurposeThe artery centerline is the cornerstone for the generation of the CPR image. Here, we describe the development of a new fully automatic artery centerline tracker with the aim of increasing the efficiency and accuracy of the process.MethodsWe propose a COronary artery Centerline Tracker (COACT) framework which consists of an ostium point finder (OPFinder) model, an intersection point detector (IPDetector) model and a set of centerline tracking strategies. The output of OPFinder is the ostium points. The function of the IPDetector is to predict the intersections of a sample sphere and the centerlines. The centerline tracking process starts from two ostium points detected by the OPFinder, and combines the results of the IPDetector with a series of strategies to gradually reconstruct the coronary artery centerline tree.ResultsTwo coronary CT angiography (CCTA) datasets were used to validate the models. Dataset1 contains 160 cases (32 for test and 128 for training) and dataset2 contains 70 cases (20 for test and 50 for training). The results show that the average distance between the ostium points predicted by the OPFinder and the manually annotated ostium points was 0.88 mm, which is similar to the differences between the results obtained by two observers (0.85 mm). For the IPDetector, the average overlap of the predicted and ground truth intersection points was 97.82% and this is also close to the inter‐observer agreement of 98.50%. For the entire coronary centerline tree, the overlap between the results obtained by COACT and the gold standard was 94.33%, which is slightly lower than the inter‐observer agreement, 98.39%.ConclusionsWe have developed a fully automatic centerline tracking method for CCTA scans and achieved a satisfactory result. The proposed algorithms are also incorporated in the medical image analysis platform TIMESlice (https://slice‐doc.netlify.app) for further studies.
Model validation for a noninvasive arterial stenosis detection problem H. Thomas Banks, 1. Center for Research in Scientific Computation, Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC 27695-8212, Shuhua Hu, Zackary R. Kenz, Carola Kruse, Simon Shaw, John Whiteman, Mark P. Brewin, Stephen E. Greenwald, Malcolm J. Birch, 2. Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC 27695-8212, 3. Brunel Institute of Computational Mathematics, Brunel University, Uxbridge, UB8 3PH, 4. Blizard Institute, Barts, the London School of Medicine, Dentistry, Queen Mary, University of London, 5. Clinical Physics, Barts Health Trust Mathematical Biosciences and Engineering, 2014
Experimental investigation of mechanical and structural inhomogeneity in bovine carotid arteries Proceedings of the ASME Summer Bioengineering Conference Sbc2008, 2009
Two-layer model for the arterial wall: Elastic properties and distribution of stresses American Society of Mechanical Engineers Bioengineering Division Publication BED, 1995
Development of an optical technique for the non-invasive measurement of arterial compliance IEEE Engineering in Medicine and Biology Society Annual Conference, 1995
Contribution of the structural components of the arterial wall to residual strains American Society of Mechanical Engineers Bioengineering Division Publication BED, 1994
Suppression of neointimal hyperplasia by photodynamic therapy: in vitro and in vivo results Proceedings of SPIE the International Society for Optical Engineering, 1994
Selective treatment of atherosclerosis using photodynamic therapy in the Yucatan miniswine: preliminary results Proceedings of SPIE the International Society for Optical Engineering, 1994
The static elastic properties and chemical composition of the rat aorta in spontaneously occurring and experimentally induced hypertension: the effect of an anti-hypertensive drug British Journal of Experimental Pathology, 1985
Changes in structure and mechanical properties of the rat aorta induced by a hypertensive period during development. Journal of Pathology, 1973
RECENT SCHOLAR PUBLICATIONS
Investigation of monotherapeutic high-intensity focused ultrasound therapy for thrombolysis in highly occluded vessels: an in vitro study M Mohammed, F Cui, J Ri, L Xu, C Zhang, SE Greenwald Physics in Medicine and Biology , 2026 2026
Estimation of cardiac output based on PRAM algorithm and ARX model from noninvasive radial pressure wave L Wang, L Xu, Y Sun, K Xu, L Zhang, S Greenwald, D Zheng Biomedical Signal Processing and Control 113, 108984 , 2026 2026
TSARDC-Net: A Temporal-Spatial Anisotropic Network for Human Activity Recognition Using 3-D Radar Data Cube N Bao, Z Li, J Hou, Y Guo, W Qian, Y Yao, SE Greenwald, L Xu IEEE Transactions on Instrumentation and Measurement , 2025 2025
Investigation of Thrombolysis and Safety of Stand-Alone High-Intensity Focused Ultrasound Therapy in Partially Occluded Ex-Vivo Animal Models J Ri, L Xu, L Shang, X Yue, SE Greenwald, M Mohammed, L Shen Ultrasound in Medicine & Biology , 2025 2025
Ferulic Acid Attenuates Aortic Stiffening and Cardiovascular Remodeling by Suppressing Inflammation and the Renin-Angiotensin System in Rats Fed a High-Fat/High-Carbohydrate Diet K Senaphan, W Sangartit, V Kukongviriyapan, O Boonla, SE Greenwald, ... Journal of Obesity & Metabolic Syndrome 34 (3), 291 , 2025 2025 Citations: 5
DIEN: A dual-factor iterative enhancement network with the global Re-calibration feature for coronary artery segmentation J Yang, P Hong, B Xu, L Wang, L Xu, D Chen, C Peng, A Ping, B Yang, ... Biomedical Signal Processing and Control 102, 107258 , 2025 2025 Citations: 3
Automated pericardium segmentation and epicardial adipose tissue quantification from computed tomography images Y Wang, A Wang, L Wang, W Tan, L Xu, J Wang, S Li, J Liu, Y Sun, ... Biomedical Signal Processing and Control 100, 107167 , 2025 2025 Citations: 8
Manipulation of post-prandial hyperglycaemia in type 2 diabetes: an update for practitioners L Shibib, M Al-Qaisi, N Guess, AD Miras, SE Greenwald, M Pelling, ... Diabetes, Metabolic Syndrome and Obesity, 3111-3130 , 2024 2024 Citations: 30
Ct-less whole-body bone segmentation of pet images using a multimodal deep learning network N Bao, J Zhang, Z Li, S Wei, J Zhang, SE Greenwald, JA Onofrey, Y Lu, ... IEEE Journal of Biomedical and Health Informatics 29 (2), 1151-1164 , 2024 2024 Citations: 5
Acoustic detection of coronary artery stenosis: from in-vitro gel measurements: towards a low cost diagnostic device V Adeola, J Reeves, S Shaw, EM Drakakis, K Petkos, S Greenwald International Conference on Future of Medicine and Biological Information … , 2024 2024 Citations: 1
Clinical validation of carotid-femoral pulse wave velocity measurement using a multi-beam laser vibrometer: the CARDIS study S Badhwar, L Marais, H Khettab, F Poli, Y Li, P Segers, S Aasmul, ... Hypertension 81 (9), 1986-1995 , 2024 2024 Citations: 21
Doppler Radar sensor-based fall detection using a convolutional bidirectional long short-term memory model Z Li, J Du, B Zhu, SE Greenwald, L Xu, Y Yao, N Bao Sensors 24 (16), 5365 , 2024 2024 Citations: 16
COACT: Coronary artery centerline tracker X Li, L Ji, R Zhang, H You, L Xu, SE Greenwald, Y Sun, L Zhang, B Yang Medical Physics 51 (5), 3541-3554 , 2024 2024 Citations: 3
Machine Learning Techniques for Source Localisation in Elastic Media B Mandalia, S Greenwald, S Shaw, G Slabaugh arXiv preprint arXiv:2404.15336 , 2024 2024 Citations: 1
Patient-specific non-invasive estimation of the aortic blood pressure waveform by ultrasound and tonometry S Zhou, K Xu, Y Fang, J Alastruey, S Vennin, J Yang, J Wang, L Xu, ... Computer Methods and Programs in Biomedicine 247, 108082 , 2024 2024 Citations: 5
TSP-UDANet: two-stage progressive unsupervised domain adaptation network for automated cross-modality cardiac segmentation Y Wang, Y Zhang, L Xu, S Qi, Y Yao, W Qian, SE Greenwald, L Qi Neural Computing and Applications 35 (30), 22189-22207 , 2023 2023 Citations: 2
Automatic coronary artery segmentation of CCTA images using UNet with a local contextual transformer Q Wang, L Xu, L Wang, X Yang, Y Sun, B Yang, SE Greenwald Frontiers in physiology 14, 1138257 , 2023 2023 Citations: 46
Three-dimensional numerical analysis of wall stress induced by asymmetric oscillation of microbubble trains inside micro-vessels J Ri, N Pang, S Bai, J Xu, L Xu, S Ri, Y Yao, SE Greenwald Physics of Fluids 35 (1) , 2023 2023 Citations: 12
In vivo opto-physiological imaging S Hu, S Greenwald, V Dwyer, J Spigulis, Y Guo Frontiers in Physics 10, 977624 , 2022 2022
Reversal and remission of T2DM–An update for practitioners L Shibib, M Al-Qaisi, A Ahmed, AD Miras, D Nott, M Pelling, ... Vascular health and risk management, 417-443 , 2022 2022 Citations: 52
MOST CITED SCHOLAR PUBLICATIONS
Ageing of the conduit arteries SE Greenwald The Journal of Pathology: A Journal of the Pathological Society of Great … , 2007 2007 Citations: 861
Impaired synthesis of elastin in walls of aorta and large conduit arteries during early development as an initiating event in pathogenesis of systemic hypertension CN Martyn, SE Greenwald The Lancet 350 (9082), 953-955 , 1997 1997 Citations: 502
Growth in utero, adult blood pressure, and arterial compliance. CN Martyn, DJ Barker, S Jespersen, S Greenwald, C Osmond, C Berry Heart 73 (2), 116-121 , 1995 1995 Citations: 467
Improving vascular grafts: the importance of mechanical and haemodynamic properties SE Greenwald, CL Berry The Journal of pathology 190 (3), 292-299 , 2000 2000 Citations: 435
Motion-compensated noncontact imaging photoplethysmography to monitor cardiorespiratory status during exercise Y Sun, S Hu, V Azorin-Peris, S Greenwald, J Chambers, Y Zhu Journal of biomedical optics 16 (7), 077010-077010-9 , 2011 2011 Citations: 301
Experimental investigation of the distribution of residual strains in the artery wall SE Greenwald, JE Moore Jr, A Rachev, TPC Kane, JJ Meister 1997 Citations: 294
Noncontact imaging photoplethysmography to effectively access pulse rate variability Y Sun, S Hu, V Azorin-Peris, R Kalawsky, S Greenwald Journal of biomedical optics 18 (6), 061205-061205 , 2013 2013 Citations: 257
Residual strains in conduit arteries A Rachev, SE Greenwald Journal of biomechanics 36 (5), 661-670 , 2003 2003 Citations: 236
Ferulic acid alleviates changes in a rat model of metabolic syndrome induced by high-carbohydrate, high-fat diet K Senaphan, U Kukongviriyapan, W Sangartit, P Pakdeechote, ... Nutrients 7 (8), 6446-6464 , 2015 2015 Citations: 223
Effects of hypertension on the static mechanical properties and chemical composition of the rat aorta CL Berry, SE Greenwald Cardiovascular research 10 (4), 437-451 , 1976 1976 Citations: 221
Validation of a device to measure arterial pulse wave velocity by a photoplethysmographic method S Loukogeorgakis, R Dawson, N Phillips, CN Martyn, SE Greenwald Physiological measurement 23 (3), 581-596 , 2002 2002 Citations: 185
Use of ambient light in remote photoplethysmographic systems: comparison between a high-performance camera and a low-cost webcam Y Sun, C Papin, V Azorin-Peris, R Kalawsky, S Greenwald, S Hu Journal of biomedical optics 17 (3), 037005-037005 , 2012 2012 Citations: 181
Structural inhomogeneity and fiber orientation in the inner arterial media LH Timmins, Q Wu, AT Yeh, JE Moore Jr, SE Greenwald American Journal of Physiology-Heart and Circulatory Physiology 298 (5 … , 2010 2010 Citations: 171
Curcumin improves endothelial dysfunction and vascular remodeling in 2K-1C hypertensive rats by raising nitric oxide availability and reducing oxidative stress O Boonla, U Kukongviriyapan, P Pakdeechote, V Kukongviriyapan, ... Nitric Oxide 42, 44-53 , 2014 2014 Citations: 155
Morbid anatomy in neonates with Ebstein's anomaly of the tricuspid valve: pathophysiologic and clinical implications DS Celermajer, SM Dodd, SE Greenwald, RKH Wyse, JE Deanfield Journal of the American College of Cardiology 19 (5), 1049-1053 , 1992 1992 Citations: 155
Effects of exercise modalities on central hemodynamics, arterial stiffness and cardiac function in cardiovascular disease: Systematic review and meta-analysis of randomized … Y Zhang, L Qi, L Xu, X Sun, W Liu, S Zhou, F van de Vosse, ... PloS one 13 (7), e0200829 , 2018 2018 Citations: 128
The effects of maternal protein deprivation on the fetal rat pancreas: major structural changes and their recuperation DM Berney, M Desai, DJ Palmer, S Greenwald, A Brown, CN Hales, ... The Journal of Pathology: A Journal of the Pathological Society of Great … , 1997 1997 Citations: 128
Twin-twin transfusion syndrome: the influence of intrauterine laser photocoagulation on arterial distensibility in childhood HM Gardiner, MJO Taylor, A Karatza, T Vanderheyden, A Huber, ... Circulation 107 (14), 1906-1911 , 2003 2003 Citations: 127
Static mechanical properties of the developing and mature rat aorta CL Berry, SE Greenwald, JF Rivett Cardiovascular research 9 (5), 669-678 , 1975 1975 Citations: 126
Effect of age and sex on residual stress in the aorta A Saini, C Berry, S Greenwald Journal of vascular research 32 (6), 398-405 , 1995 1995 Citations: 110