{"title":"An Improved Holographic Microwave Breast Imaging Based on Deep Neural Network","authors":"Lulu Wang","doi":"10.1115/imece2019-10910","DOIUrl":"https://doi.org/10.1115/imece2019-10910","url":null,"abstract":"\u0000 Microwave imaging offers excellent potential for breast cancer detection. Deep learning is state-of-the-art in biomedical imaging, which has been successfully applied for biomedical image classifications. This paper investigates a deep neural network (DNN) based classification method for identifying breast lesion in holographic microwave image (HMI). A computer model is developed to demonstrate the proposed method under practical consideration. Various experiments are carried out to evaluate the proposed DNN-based HMI for breast lesion classification. Results have shown that the proposed method could serve as a helpful imaging tool for automatically classifying different types of breast tissues.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130524414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jeremy R. Schnipke, Thomas G. Rounds, Jacob P. Sroka, Zachary B. Lowe, Gregory M Freisinger, Margaret Nowicki, K. Cameron, B. Hotaling, Richard B. Westrick
{"title":"Shoulder Proprioception Device (S.P.D.): A Novel Design for Measuring Shoulder Joint Proprioception","authors":"Jeremy R. Schnipke, Thomas G. Rounds, Jacob P. Sroka, Zachary B. Lowe, Gregory M Freisinger, Margaret Nowicki, K. Cameron, B. Hotaling, Richard B. Westrick","doi":"10.1115/imece2019-11948","DOIUrl":"https://doi.org/10.1115/imece2019-11948","url":null,"abstract":"\u0000 Shoulder injuries are a serious and costly issue, particularly in physically intensive professions like athletics and the military. Previous data indicates a dangerous feedback mechanism between reduced shoulder proprioception due to previous injury and higher probability of re-injury due to reduced proprioception. It is therefore important for organizations to possess a device that can accurately and efficiently evaluate and track an individual’s shoulder proprioception, especially following injury. Existing technologies that fill this role are generally impractical or do not quantify proprioception to the necessary levels of accuracy. The Shoulder Proprioception Device (SPD) therefore strives to measure and quantify three-dimensional shoulder proprioception in a highly accurate, user-friendly, and cost-effective manner. This device employs two Inertial Measurement Units (IMUs) with nine degrees-of-freedom attached to the lateral and frontal sides of the upper arm. These sensors are connected to a microcontroller board with a touch screen and datalogger. The screen displays the shoulder angles in real-time and allows the user to store discrete angle positions for further analysis through the data-logger. The system is compact (390 cubic centimeter volume), light (0.34 kilograms), and cost effective ($179 per unit). This device is capable of measuring, in a total procedural time of seven minutes, shoulder proprioception within two degrees of accuracy along the three anatomical planes of motion: sagittal flexion/extension, frontal abduction/adduction, and transverse abduction/adduction. This device is able to both aid upper extremity research and provide data to those making return to duty decisions following injury.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125453091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marinela Peto, E. Ramírez-Cedillo, M. J. Uddin, C. Rodríguez, H. Siller
{"title":"Mechanical Behavior of Lattice Structures Fabricated by Direct Light Processing With Compression Testing and Size Optimization of Unit Cells","authors":"Marinela Peto, E. Ramírez-Cedillo, M. J. Uddin, C. Rodríguez, H. Siller","doi":"10.1115/imece2019-12260","DOIUrl":"https://doi.org/10.1115/imece2019-12260","url":null,"abstract":"\u0000 Lattice structures used for medical implants offer advantages related to weight reduction, osseointegration, and minimization of stress shielding. This paper intends to study and to compare the mechanical behavior of three different lattice structures: tetrahedral vertex centroid (TVC), hexagonal prism vertex centroid (HPVC), and cubic diamond (CD), that are designed to be incorporated in a shoulder hemiprosthesis. The unit cell configurations were generated using nTopology Element Pro software with a uniform strut thickness of 0.5 mm. Fifteen cuboid samples of 25mm × 25mm × 15 mm, five for each unit cell configuration, were additively manufactured using Direct Light Printing (DLP) technology with a layer height of 50μm and a XY resolution of 73μm. The mechanical behavior of the 3D printed lattice structures was examined by performing mechanical compression testing. E-silicone (methacrylated silicone) was used for the fabrication of samples, and its mechanical properties were obtained from experimental tensile testing of dog-bone samples. A methodology for size optimization of lattice unit cells is provided, and the optimization is achieved using nTopology Element Pro software. The generated results are analyzed, and the HPVC configuration is selected to be incorporated in the further design of prosthesis for bone cancer patients.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122496811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Timothy Zhang, Lionel Vargas-Gonzalez, James Gurganus, S. Satapathy
{"title":"Effects of Curvature and Architecture on Ballistic Performance of UHMWPE Helmets","authors":"Timothy Zhang, Lionel Vargas-Gonzalez, James Gurganus, S. Satapathy","doi":"10.1115/imece2019-11566","DOIUrl":"https://doi.org/10.1115/imece2019-11566","url":null,"abstract":"\u0000 Ballistic impact experiments were conducted on three types of Ultra-high-molecular-weight polyethylene (UHMWPE) helmets. The three types of helmets had the same geometry, but different fiber orientations in the rear layers. The test data were used to evaluate the effects of architectures. Five impact locations were chosen to understand the effects of impact locations and curvatures. The experimental data from flat and cylindrically curved UHMWPE panels were also used to compare with the helmet test data.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131377902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Howuk Kim, Huaiyu Wu, Leela D. Goel, Xiaoning Jiang
{"title":"Miniaturized Ultrasound Transducer Composed of a Composite of Multiple Piezoelectric Stacks","authors":"Howuk Kim, Huaiyu Wu, Leela D. Goel, Xiaoning Jiang","doi":"10.1115/imece2019-12208","DOIUrl":"https://doi.org/10.1115/imece2019-12208","url":null,"abstract":"\u0000 This paper aims to develop a miniaturized ultrasound transducer for intravascular thrombolysis, which requires a transducer with high mechanical index (> 0.3) and a long focal distance (> 2.0 mm). To meet this need, a composite of a multi-pillar piezo stack (MPPS) transducer was designed and fabricated by using PZT-4, conductive epoxy, soft elastomer, and a metallic concave lens. The simulation results showed the predominant extensional mode at around 0.92 MHz. The −6 dB focal distance was elongated by 150% from that of the common single-pillar piezo stack (SPPS) transducer with the same aperture. The acoustic pressure was improved by 8.2 dB at the focal zone. Next, the experimental results showed the peak-to-negative pressure of 1.92 MPa under 120 Vpp input, which was sufficient to cause the inertial cavitation of microbubble contrast agents. The −6 dB focal distance reached up to 3.4 mm which was a significant improvement compared to the conventional SPPS transducer. The developed intravascular transducer will be employed for the microbubble-mediated ultrasound thrombolysis to reduce the treatment time.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132357227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing a Cost-Effective and Functional Prosthetic Foot for Below Knee Amputees Using Topology Optimization and 3D Printing","authors":"H. Kamel, O. Harraz, Tamer A. Attia","doi":"10.1115/imece2019-10616","DOIUrl":"https://doi.org/10.1115/imece2019-10616","url":null,"abstract":"\u0000 This paper presents the results of an investigative study on the development of an affordable and functional prosthetic foot for below knee amputees. A prototype was successfully manufactured using 3D printing technology. This continuously evolving technology enables the rapid production of prosthetics that are individually customized for each patient. Our prototype was developed after conducting a topology optimization study that interestingly converged to the shape of the biological human foot. Afterwards, a design was envisioned where a simple energy storage and release mechanism was implemented to replace the Achilles tendon, which minimizes the metabolic energy cost of walking. Our mechanism can successfully manage 70% of the energy compared to a normal person during each walking step. A finite element (FE) model of the prosthetic was developed and validated using experimental tests. Then, this FE model was used to confirm the safe operation of the prosthetic through simulating different loading scenarios according to the ISO standard. Our study clearly showed that customizable prosthetics could be produced at a fraction 1/60 of the cost of the commercially sold ones.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127821080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial Variations in Achilles Tendon Shear Wave Speed Using a Cost-Effective Method of Accelerometers","authors":"Muhammad Salman, Conghui Ge, Clint Morris","doi":"10.1115/imece2019-11001","DOIUrl":"https://doi.org/10.1115/imece2019-11001","url":null,"abstract":"\u0000 Currently there are no cost-effective ways to quantitatively measure the in-vivo mechanical properties of the Achilles tendon. Stiffness can be used as a measure of tone and mechanical integrity of both muscles and tendons. Stiffness of the Achilles tendon (AT) can be quantified by the speed of shear wave propagation. The speed of propagation can then be used to find the instantaneous shear modulus. Currently there are other methods such as Ultrasound (US) imaging and Magnetic Resonance Imaging (MRI) which are used clinically to determine the variations in stiffness of the AT. However, these methods require complex signal processing and experienced technicians. Moreover, US imaging technique is limited in measuring high shear wave speed values which are greater than 17 m/s. In this research, one-dimensional accelerometers were used to measure acceleration through the AT. Then a cross-correlation signal processing technique was used to convert acceleration to the velocity of shear wave propagation across the AT. This method could potentially evaluate the mechanical properties of both normal and damaged tendons. This process has proven to be a cost-effective and simple way to assess the stiffness of the AT. The modulus of elasticity (E) was found using the following relation: E = 3ρV2.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125893499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xuanming Zhao, Junshi Wang, Pan Han, J. Xi, Haibo Dong
{"title":"Effect of Uvula Length on Airflow and Pressure Oscillation in a Human Pharynx Model","authors":"Xuanming Zhao, Junshi Wang, Pan Han, J. Xi, Haibo Dong","doi":"10.1115/imece2019-11697","DOIUrl":"https://doi.org/10.1115/imece2019-11697","url":null,"abstract":"\u0000 Unsteady uvula motions and the resultant pressure oscillations within the pharyngeal airway are critical for the pathology of snoring and sleeping apnea. In this paper, an immersed-boundary-method based direct numerical simulation flow solver was adopted to simulate the unsteady flows in an anatomically accurate pharynx model reconstructed from human magnetic resonance images (MRI) with prescribed uvula oscillation and airway obstruction. In order to study the influence of uvula length on the aerodynamics of pharyngeal airflow, simulations were conducted using various uvula models with scaled uvula lengths at 25%, 50%, 75%, and 100% of the original length, respectively. Analyses of vortex dynamics, pressure oscillations, and the aerodynamic force of uvula were conducted. It was found the length of uvula had significant impacts on vortex development as well as aerodynamic pressure/force. Shorter uvula induced weaker pressure oscillations and fewer vortices in the airway. Further fast Fourier transform analysis of pressures from different pressure probes showed higher-order harmonic waves other than the base frequency of uvula motion. This study is expected to bring understanding of snoring and sleep apnea and provide guidance for surgery.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130006753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Ramzanpour, Mohammad Hosseini-Farid, M. Ziejewski, G. Karami
{"title":"Microstructural Hyperelastic Characterization of Brain White Matter in Tension","authors":"M. Ramzanpour, Mohammad Hosseini-Farid, M. Ziejewski, G. Karami","doi":"10.1115/imece2019-11549","DOIUrl":"https://doi.org/10.1115/imece2019-11549","url":null,"abstract":"\u0000 Axons as microstructural constituent elements of brain white matter are highly oriented in extracellular matrix (ECM) in one direction. Therefore, it is possible to model the human brain white matter as a unidirectional fibrous composite material. A micromechanical finite element model of the brain white matter is developed to indirectly measure the brain white matter constituents’ properties including axon and ECM under tensile loading. Experimental tension test on corona radiata conducted by Budday et al. 2017 [1] is used in this study and one-term Ogden hyperelastic constitutive model is applied to characterize its behavior. By the application of genetic algorithm (GA) as a black box optimization method, the Ogden hyperelastic parameters of axon and ECM minimizing the error between numerical finite element simulation and experimental results are measured. Inverse analysis is conducted on the resultant optimized parameters shows high correlation of coefficient (>99%) between the numerical and experimental data which verifies the accuracy of the optimization procedure. The volume fraction of axons in porcine brain white matter is taken to be 52.7% and the stiffness ratio of axon to ECM is perceived to be 3.0. As these values are not accurately known for human brain white matter, we study the material properties of axon and ECM for different stiffness ratio and axon volume fraction values. The results of this study helps to better understand the micromechanical structure of the brain and micro-level injuries such as diffuse axonal injury.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130107046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. H. Farid, M. Ramzanpour, M. Ziejewski, G. Karami
{"title":"A Biphasic Viscoelastic Constitutive Model for Brain Tissue","authors":"M. H. Farid, M. Ramzanpour, M. Ziejewski, G. Karami","doi":"10.1115/imece2019-10743","DOIUrl":"https://doi.org/10.1115/imece2019-10743","url":null,"abstract":"\u0000 In this study, a rate-dependent biphasic model will be introduced to account for phenomenological behavior of brain tissue. For this purpose, a poro-hyper viscoelastic constitutive model is developed. The tissue is treated as a fluid-saturated porous medium, modeled as biphasic matter constituting of a solid matrix and interstitial liquids fill the porous spaces. The interactions between the two phases are assumed to be governed by Darcy’s law. This suggested model is calibrated with the experimental results of the bovine brain tissue, tested under high deformation rates (10, 100, 1000 mm/sec). The model will successfully take care of the detailed mechanical responses for solid and fluid phases, and their contributions to morphological behavior of this biological tissue. The material parameters of the model have been examined to agree well (R2 ≥ 0.96, where R is the coefficient of determination) with various deformation rates. In addition to representing the complete mechanical response and deformation of the solid phase, this biphasic model demonstrates the flow and diffusion of the liquid through the tissue networks.","PeriodicalId":332737,"journal":{"name":"Volume 3: Biomedical and Biotechnology Engineering","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122421690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}