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Assessing Hemodynamic Changes in Cerebral Aneurysms Post Coil Embolization: A Preliminary Investigation

Journal of engineering and Science in Medical Diagnostics and Therapy 2025年第3期8卷 031014页

作者： Monfared, Mohammadali Hollingsworth, Luke Gamage, Peshala Thibbotuwawa Taebi, Amirtaha Biomedical Engineering Program Mississippi State University Mississippi StateMS39762 United States Department of Biomedical Engineering and Science Florida Institute of Technology MelbourneFL32901 United States

A cerebral aneurysm is a weakened area in the wall of a blood vessel within the brain that causes the vessel to bulge outwards. The choice of treatment depends on various factors including the size and location of the aneurysm and the risk of rupture, and should be tailored to individual situations rather than following a universal approach due to their variability among individuals. This approach provides the possibility of choosing precise treatment plans that are proper for each patient's circumstances. The utilization of computational fluid dynamics (CFD) allows for the prediction of after-surgery hemodynamic changes before any surgical approach. The goal of this research was to investigate the flow characteristics and hemodynamic parameters in cerebral arteries before and after endovascular embolization treatments using CFD in three patient-specific geometries with at least one aneurysm at the middle cerebral artery's bifurcation. To model the coiling, the computational domain was divided into two fluid domains, a general fluid domain consisting of the parent arteries and a porous domain inside the aneurysm. CFD modeling was conducted to simulate blood flow in pre- and postcoiling scenarios. Results showed that the coiling model with different porosity values led to a redirection of blood flow away from the aneurysm sac. Additionally, changes in shear stress indicated potential alterations in susceptibility to vascular remodeling. In conclusion, these findings indicated that utilizing CFD modeling for simulating blood flow in patient-specific cerebral arteries could be utilized to predict hemodynamic parameters before any treatment. Copyright © 2025 by ASME.

关键词： Computational fluid dynamics

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Extracting Cardiovascular-Induced Chest Vibrations from Ordinary Chest Videos: A Comparative Study

Extracting Cardiovascular-Induced Chest Vibrations from Ordi...

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2024 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2024

作者： Rahman, M. Taebi, A. Mississippi State University Biomedical Engineering Program Mississippi StateMS United States

ISBN: (纸本)9798350388572

Seismocardiography (SCG) has attracted significant interest for monitoring cardiac health and diagnosing cardiovascular conditions. While traditional SCG methods rely on uncomfortable chest-mounted accelerometers, recent research explores non-contact approaches, including analyzing video recordings of the chest. In this study, three computer vision-based methods including Lucas-Kanade optical flow, template tracking, and Gunnar-Farneback optical flow were evaluated for extracting SCG signals from ordinary camera-recorded chest videos. The study focused on right-to-left and head-to-foot SCG signals obtained from 13 healthy subjects during breath-hold at the end of exhalation and inhalation. Comparative analysis was performed by calculating the mean squared error (msE) and root msE (RmsE) between the vision-based SCG signals and the gold-standard accelerometer signals. Visual and quantitative analyses showed that the Lucas-Kanade and template tracking methods estimated vision-based SCG signals closely resembling the accelerometer data, particularly in the head-to-foot direction. The Lucas-Kanade method had msE values ranging from 0.14 to 0.93, RmsE values from 0.38 to 0.96, average correlation values of 0.82±0.09. The template tracking method showed msE values between 0.12 to 0.94, RmsE values from 0.35 to 0.97, and average correlation values of 0.83±0.10. In comparison, the Farneback method had higher msE values ranging from 0.20 to 1.07, RmsE values from 0.44 to 1.03, and average correlation values of 0.76±0.11. These results suggest the effectiveness of Lucas-Kanade and template tracking methods for non-contact SCG signal extraction from chest video data. © 2024 IEEE.

关键词： Optical flows

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Development of photoreactive demineralized bone matrix 3D printing colloidal inks for bone tissue engineering

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Regenerative Biomaterials 2023年第1期10卷 1604-1617页

作者： Katie J.Hogan Hayriye Oztatlı Marissa R.Perez Sophia Si Reyhan Umurhan Elysa Jui Ziwen Wang Emily Y.Jiang Sa R.Han Mani Diba K.Jane Grande-Allen Bora Garipcan Antonios G.Mikos Department of Bioengineering Rice UniversityMS-1426500 Main StreetHoustonTX 77030USA Baylor College of Medicine Medical Scientist Training Program HoustonTX 77030USA Institute of Biomedical Engineering Bo�gazic¸i University_Istanbul34684Turkey

Demineralized bone matrix(DBM)has been widely used clinically for dental,craniofacial and skeletal bone repair,as an osteoinductive and osteoconductive material.3D printing(3DP)enables the creation of bone tissue engineering scaffolds with complex geometries and *** methacryloylated gelatin nanoparticles(GNP-MAs)3DP inks have been developed,which display gel-like behavior for high print fidelity and are capable of post-printing photocrosslinking for control of scaffold swelling and ***,novel DBM nanoparticles(DBM-NPs,∼400 nm)were fabricated and characterized prior to incorporation in 3DP *** objectives of this study were to determine how these DBM-NPs would influence the printability of composite colloidal 3DP inks,assess the impact of ultraviolet(UV)crosslinking on 3DP scaffold swelling and degradation and evaluate the osteogenic potential of DBM-NP-containing composite colloidal *** addition of methacryloylated DBM-NPs(DBM-NP-MAs)to composite colloidal inks(100:0,95:5 and 75:25 GNP-MA:DBM-NP-MA)did not significantly impact the rheological properties associated with printability,such as viscosity and shear recovery or *** crosslinking with a UV dosage of 3 J/cm2 directly impacted the rate of 3DP scaffold swelling for all GNP-MA:DBM-NP-MA ratios with an∼40%greater increase in scaffold area and pore area in uncrosslinked versus photocrosslinked scaffolds over 21 days in phosphate-buffered saline(PBS).Likewise,degradation(hydrolytic and enzymatic)over 21 days for all DBM-NP-MA content groups was significantly decreased,∼45%less in PBS and collagenase-containing PBS,in UV-crosslinked versus uncrosslinked *** incorporation of DBM-NP-MAs into scaffolds decreased mass loss compared to GNP-MA-only scaffolds during collagenase *** in vitro osteogenic study with bone marrow-derived mesenchymal stem cells demonstrated osteoconductive properties of 3DP scaffolds for the DBM-NP-MA contents examine

关键词： demineralized bone matrix colloidal hydrogels 3D printing bone tissue engineering

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Contactless Seismocardiography Via Gunnar-Farneback Optical Flow

Contactless Seismocardiography Via Gunnar-Farneback Optical ...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Mohammad Muntasir Rahman Amirtahà Taebi Biomedical Engineering Program Mississippi State University Mississippi State MS USA

ISBN: (数字)9798331530143

ISBN: (纸本)9798331530150

Seismocardiography (SCG) has gained significant attention due to its potential applications in monitoring cardiac health and diagnosing cardiovascular conditions. Conventional SCG methods rely on accelerometers attached to the chest, which can be uncomfortable or inconvenient. In recent years, researchers have explored non-contact methods to capture SCG signals, and one promising approach involves analyzing video recordings of the chest. In this study, we investigate a vision-based method based on the Gunnar-Farneback optical flow to extract SCG signals from the chest skin movements recorded by a smart-phone camera. We compared the SCG signals extracted from the chest videos of four healthy subjects with those obtained from accelerometers and our previous method based on sticker tracking. Our results demonstrated that the vision-based SCG signals extracted by the proposed method closely resembled those from accelerometers and stickers, although these signals were captured from slightly different locations. The mean squared error between the vision-based SCG signals and accelerometer-based signals was found to be within a reasonable range, especially between signals on head-to-foot direction (0.2

关键词： Accelerometers Heart rate Seismic measurements Tracking Electrocardiography Skin Robustness Optical flow Monitoring Video recording

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A Reduced Spiking Neural Network Architecture for Energy Efficient Context-Dependent Reinforcement Learning Tasks

A Reduced Spiking Neural Network Architecture for Energy Eff...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Hira Rasheed Peyman Mirtaheri Ali Muhtaroglu Dept. of Machines Electronics & Chemistry Faculty of Technology Art and Design (TKD) Oslo Metropolitan University Oslo Norway Biomedical Engineering MS Program Advanced Health Intelligence and Brain-Inspired Technologies (ADEPT)

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

Neuromorphic circuits and systems involving spiking neural networks (SNN) have resulted in disruptive advances in performance/joule for relevant applications. A novel reinforcement learning (RL) digital hardware architecture is presented in this work that achieves energy consumption improvements through three fundamental techniques: The first two techniques comprise reduction in the complexity of the arithmetic unit for the optimization of recurring synapse and neuron cores in the network array, which is inspired by "crude" nature of the building blocks in the biological neurons that are tolerant to inaccuracy and noise. As the third technique, the RL SNN middle (hippocampus) layer is equipped with a simple scratchpad to facilitate temporal hysteresis in synaptic plasticity during the RL processes of long-term potentiation/depression (LTP / LTD). This feature is inspired by the non-temperamental behavior of biological synapses. The intelligent allocation significantly reduces learning time in a given task. Implementation on Intel Cyclone IV FPGA demonstrated significant advantages in cost, power dissipation and execution time, resulting in more than two orders of magnitude benefit in energy consumption for a context-dependent learning task on a 16-node 3-layer RL network presented in the literature.

关键词： Energy consumption Circuits and systems Neurons Reinforcement learning Biology Power dissipation Resource management

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No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine

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AI and ethics 2022年第4期2卷 635-643页

作者： Tayo Obafemi-Ajayi Andy Perkins Bindu Nanduri Donald C Wunsch Ii James A Foster Joan Peckham Engineering Program Missouri State University Springfield MO USA. Department of Computer Science and Engineering Mississippi State University Starkville MS USA. Department of Comparative Biomedical Sciences College of Veterinary Medicine Mississippi State University Starkville MS USA. Electrical & Computer Engineering Department Missouri University of Science and Technology Rolla MO USA. Biological Sciences Department University of Idaho Moscow ID USA. Computer Science & Statistics Department University of Rhode Island Kingston RI USA.

Today Artificial Intelligence (AI) supports difficult decisions about policy, health, and our personal lives. The AI algorithms we develop and deploy to make sense of information, are informed by data, and based on models that capture and use pertinent details of the population or phenomenon being analyzed. For any application area, more importantly in precision medicine which directly impacts human lives, the data upon which algorithms are run must be procured, cleaned, and organized well to assure reliable and interpretable results, and to assure that they do not perpetrate or amplify human prejudices. This must be done without violating basic assumptions of the algorithms in use. Algorithmic results need to be clearly communicated to stakeholders and domain experts to enable sound conclusions. Our position is that AI holds great promise for supporting precision medicine, but we need to move forward with great care, with consideration for possible ethical implications. We make the case that a no-boundary or convergent approach is essential to support sound and ethical decisions. No-boundary thinking supports problem definition and solving with teams of experts possessing diverse perspectives. When dealing with AI and the data needed to use AI, there is a spectrum of activities that needs the attention of a no-boundary team. This is necessary if we are to draw viable conclusions and develop actions and policies based on the AI, the data, and the scientific foundations of the domain in question.

关键词： Artificial intelligence Data science Ethics Precision medicine

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From video to vital signs: a new method for contactless multichannel seismocardiography

npj Cardiovascular Health

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npj Cardiovascular Health 2025年第1期2卷 1-14页

作者： Mohammad Muntasir Rahman Amirtahà Taebi Bahram Kakavand William Van Wurm William L. Holman Mohammad Reza Movahed Biomedical Engineering Program Mississippi State University Mississippi State MS USA Department of Pediatrics Division of Pediatric Cardiology Nemours Children’s Hospital Orlando FL USA College of Medicine University of Central Florida Orlando FL USA Physician Assistant Studies Program Mississippi State University Meridian MS USA Department of Surgery Division of Cardiothoracic Surgery University of Alabama at Birmingham Birmingham AL USA Sarver Heart Center University of Arizona Tucson AZ USA College of Medicine University of Arizona Phoenix AZ USA

Seismocardiography (SCG) is a technique that non-invasively measures the chest wall’s local vibrations caused by the heart’s mechanical activity. Traditionally, SCG signals have been recorded using accelerometers placed at a single location on the chest wall. This study presents an innovative, cost-effective SCG method that utilizes standard smartphone videos to capture data from multiple chest locations. The analysis of vibrations from multiple points can offer a more thorough understanding of the heart’s mechanical activity compared to signals obtained solely from a single chest location. Our approach employs computer vision and deep learning techniques to extract and improve the resolution of multichannel SCG maps obtained by video capture of chest movement. We attached a grid of patterned stickers to the chest surface and recorded videos of chest movements during different respiratory phases. Using a deep learning-based object detector and a template tracking method, we tracked the stickers across video frames and extracted the corresponding SCG signals from sticker displacements. We also developed a robust algorithm to estimate heart rate (HR) from these chest videos and identify the optimal chest location for HR estimation. The method was tested on 28 chest videos captured from 14 healthy participants. The results demonstrated that our method effectively extracted multichannel SCG maps and enhanced their resolution with a mean squared error of 0.1078 and 0.0418 for right-to-left and head-to-foot SCG signals, respectively. We observed intersubject chest vibration patterns corresponding to cardiac events including opening and closure of the heart valves. Moreover, our algorithm accurately estimated HR from 1968 SCG signals extracted from the videos compared to the gold-standard HR measured from each subject’s electrocardiogram (bias ± 1.96 SD = 0.04 ± 2.14 bpm;r= 0.99,p< 0.001). The findings from this study underscore the potential of our approach in developing

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A Nodal Immersed Finite Element-Finite Difference Method

SSRN

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SSRN 2022年

作者： Wells, David Vadala-Roth, Ben Lee, Jae Ho Griffith, Boyce E. Department of Mathematics University of North Carolina Chapel HillNC United States U.S. Army Corps of Engineers Engineer Research and Development Center Coastal and Hydraulic Laboratory VicksburgMS United States Department of Mechanical Engineering Institute for Computational Medicine Johns Hopkins University BaltimoreMD United States Departments of Mathematics Applied Physical Sciences and Biomedical Engineering University of North Carolina Chapel HillNC United States Carolina Center for Interdisciplinary Applied Mathematics University of North Carolina Chapel HillNC United States Computational Medicine Program University of North Carolina Chapel HillNC United States McAllister Heart Institute University of North Carolina Chapel HillNC United States

The immersed finite element-finite difference (IFED) method is a computational approach to modeling interactions between a fluid and an immersed structure. The IFED method uses a finite element (FE) method to approximate the stresses and forces on a structural mesh and a finite difference (FD) method to approximate the momentum of the entire fluid-structure system on a Cartesian grid. The fundamental approach used by this method follows the immersed boundary framework for modeling fluid-structure interaction (FSI), in which a force spreading operator prolongs structural forces to a Cartesian grid, and a velocity interpolation operator restricts a velocity field defined on that grid back onto the structural mesh. With an FE structural mechanics framework, force spreading first requires that the force itself be projected onto the finite element space. Similarly, velocity interpolation requires projecting velocity data onto the FE basis functions. Consequently, evaluating either coupling operator requires solving a matrix equation at every time step. Mass lumping, in which the projection matrices are replaced by diagonal approximations, has the potential to accelerate this method considerably. This paper provides both numerical and computational analyses of the effects of this replacement for evaluating the force projection and for the IFED coupling operators. Constructing the coupling operators also requires determining the locations on the structure mesh where the forces and velocities are sampled. Here we show that sampling the forces and velocities at the nodes of the structural mesh is equivalent to using lumped mass matrices in the IFED coupling operators. A key theoretical result of our analysis is that if both of these approaches are used together, the IFED method permits the use of lumped mass matrices derived from nodal quadrature rules for any standard interpolatory element. This is different from standard FE methods, which require specialized treatments to

关键词： Fluid structure interaction

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Biochemical mechanisms and molecular interactions of vitamins in cancer therapy

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Cancer Pathogenesis and Therapy 2025年第1期3卷 3-15页

作者： Abdullahi T.Aborode Isreal A.Onifade Mercy M.Olorunshola Gladys O.Adenikinju Ibude J.Aruorivwooghene Adeboboye C.Femi Osasere Jude-Kelly Osayawe Abraham Osinuga Ebenezer A.Omojowolo Adekunle F.Adeoye Segun Olapade Ibroadhfrimed O.Acdoelaku Ogundepo D.Moyinoluwa Oluwatosin M.Adeyemo Godfred Y.Scott Ruth A.Ogbonna Emmanuel A.Fajemisin Omama Ehtasham Soyemi Toluwalashe Adetolase A.Bakre Ridwan O.Adesola Seto C.Ogunleye Nnenna R.Anyanwu Terungwa H.lorkula Department of Chemistry Mississippi State UniversityStarkvilleMS 39759USA Department of Biology University at AlbanyAlbanyNY 12222USA Department of Biological Sciences State University of New York at BinghantonBinghamtonNY 13902USA Department of Biological and Environmental Sciences University of Rhode IslandKingstonRI 02881USA Department of Biological Sciences University of Kansas Medical CenterKansasKS 66103USA Department of Microbiology Federal University of TechnologyAkure 340110Nigeria Department of Chemistry and Biochemistry Brigham Young UniversityProvoUT 84602USA 8 Department of Chemical and Biomolecular Engineering University of Nbraska-LincolnLincolnNE 68588USA9 Department of Chemistry University of AlbanyState University of New YorkAlbanyNY 12222USA Department of Mathematics and Statistics Georgia State UniversityAtlantaGA 30302USA Department of Chemistry University of LouisvilleLouisvilleKY 40208USA Department of Biochemistry Federal University of TechnologyAkure 340110Nigeria Deparment of Medical Diagnostics Kwame Nkrumah University of Science and TechnologyKumasi AK385Ghana Department of Research and Development Nasarawa State AIDS and STI Control ProgramNasarawaLafia 96210Nigeria Department of Integrative Biomedical Science University of Cape TownCape'Town 7701South Africa Department of Medicine and Surgery Karachi Medical and Dental CollegeKarachi 74700Pakistan Department of Medicine Lagos State University College of MedicineLagos 10010Nigeria Department of Veterinary Medicine Faculty of Veterinary MedicineUniversity of lbadanlbadan 200005Nigeria Faculty of Pharmaceutical Sciences University of JosPlateauJos 930003Nigeria

Recently,the potential role of vitamins in cancer therapy has attracted considerable research ***,the reported findings are inconsistent,with limited information on the biochemical and molecular interactions of different vitamins in various cancer ***,the presence of vitamin receptors in tumor cells suggests that vitamins play a significant role in the molecular and biochemical interactions in ***,studies on the efficacy of vitamin supplementation and dosage levels on tumor progression and mortality risk have yielded inconsistent ***,molecular and biochemical investigations have reported the function of vitamins in the proliferation,growth,and invasiveness of tumor cells,as well as in cell cycle arrest and inflammatory ***,different vitamins may regulate the cancer microenvironment by activating various molecular *** significantly affect immunological function,antioxidant defense,inflammation,and epigenetic control,and can improve treatment outcomes by affecting cell behavior and combating stress and DNA ***,further research is necessary to confirm the efficacy of vitamins,establish ideal dosages,and develop effective cancer prevention and treatment *** supplementation plans guided by medical knowledge are crucial to achieving optimal results in clinical and preclinical *** this review,we critically evaluated the effects of different vitamins on the risk and development of ***,we examined the potential of vitamin supplements to enhance the efficacy of drug therapy and counteract resistance mechanisms that often arise during cancer treatment.

关键词： Vitamins Cancer Biochemical Molecular interactions Therapy

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Corrigendum to "Variations of oxidative potential of PM2.5 in a medium-sized residential city in South Korea measured using three different chemical assays" [920 (2024) 171053]

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The Science of the total environment 2024年 926卷 172075页

作者： Pyung-Rae Kim Sung-Won Park Young-Ji Han Myong-Hwa Lee Thomas M Holsen Cheol-Heon Jeong Greg Evans Agriculture and Life Sciences Research Institute Kangwon National University Chuncheon Gangwon-do 24341 Republic of Korea. Dept. of Interdisciplinary Graduate Program in Environmental and Biomedical Convergence Kangwon National University Chuncheon Gangwon-do 24341 Republic of Korea. Dept. of Environmental Science Kangwon National University Chuncheon Gangwon-do 24341 Republic of Korea Gangwon particle pollution research and management center Kangwon National University Chuncheon Gangwon-do 24341 Republic of Korea. Electronic address: youngji@kangwon.ac.kr. Gangwon particle pollution research and management center Kangwon National University Chuncheon Gangwon-do 24341 Republic of Korea Dept. of Environmental Engineering Kangwon National University Chuncheon Gangwon-do 24341 Republic of Korea. Dept. of Civil and Environmental Engineering Clarkson University Potsdam NY 13699 USA. Dept. of Chemical Engineering and Applied Chemistry University of Toronto Toronto Ontario MS5 3E5 Canada.

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