Article
Engineering, Mechanical
Jared Allison, John Pearce, Joseph Beaman, Carolyn Seepersad
Summary: This study presents an innovative approach to improve the resulting part geometry in an RF-assisted, volumetric additive manufacturing method by overcoming RF heating uniformity issues.
RAPID PROTOTYPING JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Huimin Huang, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong
Summary: This study proposes a new segmentation framework that integrates anatomical prior information of medical images into deep learning models to improve organ segmentation accuracy. By combining the deep atlas prior with conventional losses in a Bayesian framework, an adaptive Bayesian loss dynamically adjusts the ratio for better learning. The framework's significance is verified on public datasets for liver and spleen segmentation.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Energy & Fuels
Dardan Klimenta, Marija Panic, Jelena Klimenta, Miodrag Stojanovic
Summary: This paper proposes FEM-based Arrhenius models to analyze the thermal effects of heating pipelines and different types of pavements on the lifespan of underground power cables. The results show that thermal effects can shorten the total service lifespan of the cables, while pavement surface radiation properties have no impact on the thermal lifespan. The largest consumption of thermal lifespan occurs when the cables are closest to the heating pipeline.
Article
Materials Science, Multidisciplinary
Frederico Tremoco, Ana I. Gomez-Varela, Adelaide Miranda, Martin Lopez-Garcia, Ana G. Silva, Pieter A. A. De Beule
Summary: The study found that sample heating is an important issue that needs to be considered in experimental setups involving intense light illumination of AFM cantilevers, especially when conducting single molecule investigations.
RESULTS IN PHYSICS
(2022)
Article
Mathematics
Jorge Grasa, Begona Calvo
Summary: The study compared the dynamic implicit and dynamic explicit solutions for simulating the movement of the eye ball induced by the extraocular muscles. The results showed that the implicit dynamic method achieved a significant reduction in computational time while producing similar simulation outcomes.
Article
Chemistry, Multidisciplinary
Sung-Hyun Oh, Eun-Ho Lee
Summary: This paper presents a new approach for modeling the focused IR heating method using quantum mechanical formulations. The proposed model simplifies the equations and shows good agreement with experimental data.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
Teng Li, Xinbao Yu, Omid Habibzadeh-Bigdarvish, Gang Lei, Anand J. Puppala
Summary: The study validated the feasibility and effectiveness of the external geothermal bridge de-icing system through laboratory and field tests, demonstrating the system's ability to maintain a snow-free bridge deck under adverse weather conditions. The developed finite element model provided accurate predictions and analysis of the system performance.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Archaeology
Demitrios Galanakis, Emmanuel Maravelakis, Danae Phaedra Pocobelli, Nectarios Vidakis, Markos Petousis, Antonios Konstantaras, Marilena Tsakoumaki
Summary: Unprecedented growth in 3D reality-based capturing devices revolutionizes the way AEC sector operates, and BIM emerges as the only viable alternative for managing heterogeneous information. However, high fidelity and increased resolution mesh output still need revision in BIM platforms, which hinders the expansion of HBIM. Various research efforts are exploring ML and DL algorithms for large-scale class recognition, leaving a gap in dismantling low-represented small objects. This research presents and validates a methodology utilizing SVD for boundary plane detection and mesh segmentation, reaching stone-level accuracy.
JOURNAL OF CULTURAL HERITAGE
(2023)
Article
Chemistry, Analytical
Baichuan Li, Qiaozhen Zhang, Xiangyong Zhao, Shaotao Zhi, Luyan Qiu, Sulei Fu, Weibiao Wang
Summary: This article presents a general-purpose model based on piezoelectric constitutive equations combined with perturbation theory and full finite element method (FEM) for efficient and accurate calculation of third-order nonlinear signals in surface acoustic wave (SAW) devices. The model is validated by simulating third-order harmonic (H3) responses and intermodulation distortions (IMD3) in SAW resonators, and the results fit well with experimental data. Furthermore, the generation mechanisms of the third-order nonlinearity in SAW resonators are discussed, and the dominant mechanisms for different nonlinear signals, as well as the relation between electrode materials and H3 peak magnitude, are revealed, providing important guidance for further nonlinear suppression.
Article
Engineering, Electrical & Electronic
Yaaqoub Malallah, Khaled Alhassoon, Gurveer Bhuta, Afshin S. Daryoush
Summary: This letter discusses the additive manufacturing of ferroic nanomaterials and their application in frequency-tuned RF circuits using an applied magnetic field. By adjusting the applied magnetic field, the RF circuits can achieve high tunability, as demonstrated by the design of tunable annular ring resonators.
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS
(2022)
Article
Construction & Building Technology
Norbert Jendzelovsky, Katarina Tvrda
Summary: This study investigated reinforced concrete piles in a flexible half-space under external loads, considering different contact elements and the pile-ground connection. A static model of the pile and surrounding subsoil was created using FEM software. The analysis focused on describing various contact elements between the pile and ground. The results provide valuable insights for engineers in the construction industry.
Article
Engineering, Biomedical
Kangning Su, Yuxiao Zhou, Mehran Hossaini-Zadeh, Jing Du
Summary: In this study, finite element models based on micro-CT images were used to investigate bone-implant mechanics, showing higher strain concentration in the thinner buccal bone plates and the impact of implant distance from the buccal plate on mechanical stimuli in bone, which may affect bone remodeling and resorption processes.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2021)
Article
Computer Science, Artificial Intelligence
Qikui Zhu, Yanqing Wang, Bo Du, Pingkun Yan
Summary: Medical image segmentation is a fundamental task in medical image analysis, and deep learning has achieved remarkable performance in this area. This article introduces a new image segmentation framework, OASIS, which improves segmentation performance through one-pass image registration and label constraint, and has significant advantages in prostate MR image segmentation tasks compared to other methods.
Article
Computer Science, Information Systems
Djallel Eddine Touati, Aziz Oukaira, Ahmad Hassan, Mohamed Ali, Ahmed Lakhssassi, Yvon Savaria
Summary: Thermal issues are threatening the reliability and lifetime of systems-on-chip (SoCs), and dynamic thermal management (DTM) is used to track hot spots and thermal peak locations in real time. This paper proposes a novel sensor allocation algorithm (TGT) to determine regions potentially containing thermal peaks, and a hybrid algorithm based on GDS to increase temperature sensing accuracy while minimizing the number of sensors. Simulation results show that the proposed algorithm can detect on-chip peaks with maximum and average maximum errors of 1.48°C and 0.49°C, respectively, using 15 thermal sensors.
Article
Thermodynamics
Gang Lei, Teng Li, Omid Habibzadeh-Bigdarvish, Xinbao Yu
Summary: A study on the heat transfer mechanism at the interfaces of hydronically-heated structures was conducted. The heat transfer at the pipe-concrete and concrete-air interfaces was tested and analyzed. Experimental measurements and finite element models were used to accurately predict the temperature response at these interfaces. The obtained contact heat transfer coefficient and FEM models can be applied to all hydronically-heated structures.
EXPERIMENTAL HEAT TRANSFER
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Daniel Polak, Daniel Nicolas Splitthoff, Bryan Clifford, Wei-Ching Lo, Susie Y. Huang, John Conklin, Lawrence L. Wald, Kawin Setsompop, Stephen Cauley
Summary: The SAMER technique utilizes accelerated scout scans and novel sequence reordering to achieve clinically acceptable motion estimation and reconstruction time. It demonstrates high accuracy and stability in both simulation and in vivo evaluation, enabling high-quality imaging and retrospective motion estimation.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sai Abitha Srinivas, Stephen F. Cauley, Jason P. Stockmann, Charlotte R. Sappo, Christopher E. Vaughn, Lawrence L. Wald, William A. Grissom, Clarissa Z. Cooley
Summary: The EDITER method introduced in this study is an external sensor-based method to remove image artifacts caused by external interference sources in portable MRI systems. Experimental results demonstrate the effectiveness of the method in reducing EMI in phantom and in vivo imaging experiments, as well as increasing image signal-to-noise ratio.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zijing Dong, Fuyixue Wang, Lawrence Wald, Kawin Setsompop
Summary: ACE-EPTI is an efficient technique for high-resolution diffusion imaging and diffusion-relaxometry, providing high SNR, distortion-free, and time-resolved multi-echo images.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Neurosciences
Fuyixue Wang, Zijing Dong, Timothy G. Reese, Bruce Rosen, Lawrence L. Wald, Kawin Setsompop
Summary: 3D-EPTI is a novel approach that increases the acceleration capacity of MRI sampling and provides high acquisition efficiency for multi-parametric MRI. It exploits the spatiotemporal correlation of MRI data to achieve faster sampling and enables high-resolution multi-parametric imaging for studying complex brain processes.
Article
Radiology, Nuclear Medicine & Medical Imaging
Valerie Klein, Jaume Coll-Font, Livia Vendramini, Donald Straney, Mathias Davids, Natalie G. Ferris, Lothar R. Schad, David E. Sosnovik, Christopher T. Nguyen, Lawrence L. Wald, Bastien Guerin
Summary: The study measured cardiac magnetostimulation thresholds in pigs and found that the IEC cardiac safety limit may be overly conservative for the investigated stimulus duration.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Neurosciences
Qiuyun Fan, Cornelius Eichner, Maryam Afzali, Lars Mueller, Chantal M. W. Tax, Mathias Davids, Mirsad Mahmutovic, Boris Keil, Berkin Bilgic, Kawin Setsompop, Hong-Hsi Lee, Qiyuan Tian, Chiara Maffei, Gabriel Ramos-Llorden, Aapo Nummenmaa, Thomas Witzel, Anastasia Yendiki, Yi-Qiao Song, Chu-Chung Huang, Ching-Po Lin, Nikolaus Weiskopf, Alfred Anwander, Derek K. Jones, Bruce R. Rosen, Lawrence L. Wald, Susie Y. Huang
Summary: In the past decade, tremendous efforts have been made to advance cutting-edge MRI technology in order to map the structural connectivity in the living human brain. This review article summarizes the technical developments in using the Connectom scanner for large-scale and scientific studies of the human brain, and discusses the scientific impact of the Connectom MRI scanner.
Article
Clinical Neurology
M. Lang, A. Tabari, D. Polak, J. Ford, B. Clifford, W. -C. Lo, K. Manzoor, D. N. Splitthoff, L. L. Wald, O. Rapalino, P. Schaefer, J. Conklin, S. Cauley, S. Y. Huang
Summary: The SAMER framework was evaluated in 97 clinical brain MRI examinations and found to significantly improve motion artifacts, especially in cases with moderate or severe motion.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2023)
Article
Biochemical Research Methods
Xinlu Chen, Can Zheng, L. Golestanirad
Summary: This study investigates the use of deep learning for predicting radio-frequency heating of conductive leads during MRI. The results suggest that machine learning is a promising approach for fast assessment of RF heating of lead-like implants.
JOURNAL OF MAGNETIC RESONANCE
(2023)
Article
Multidisciplinary Sciences
Ehsan Kazemivalipour, Alireza Sadeghi-Tarakameh, Boris Keil, Yigitcan Eryaman, Ergin Atalar, Laleh Golestanirad
Summary: This study compares the RF power deposition near deep brain stimulation (DBS) lead models during MRI at different field strengths and evaluates the effects of different exposure constraints. The results show that when the global SAR is constrained, the MRI RF coils at higher resonant frequencies generate lower SARs around the lead tips; however, the trend is reversed when the constraint is imposed on B-1(+). Therefore, MRI at higher static fields is not necessarily more dangerous for patients with conductive leads compared to lower fields.
Article
Multidisciplinary Sciences
Jasmine Vu, Bhumi Bhusal, Bach T. Nguyen, Pia Sanpitak, Elizabeth Nowac, Julie Pilitsis, Joshua Rosenow, Laleh Golestanirad
Summary: This study aimed to compare the radiofrequency (RF) heating of the tissue around implants in a vertical field MRI scanner and a horizontal field MRI scanner. The results showed that the temperature increase, RF heating, and power deposition were significantly lower in the vertical scanner compared to the horizontal scanner when controlling for RF power.
Article
Radiology, Nuclear Medicine & Medical Imaging
Valerie Klein, Mathias Davids, Livia Vendramini, Natalie G. Ferris, Lothar R. Schad, David E. Sosnovik, Christopher T. Nguyen, Lawrence L. Wald, Bastien Guerin
Summary: Coupled electromagnetic-electrophysiological modeling in detailed body and heart models can predict cardiac stimulation thresholds, which can lead to more detailed threshold estimates in humans. Experimental and predicted thresholds in eight pigs showed good agreement. This modeling approach can be applied to study cardiac stimulation thresholds in humans for various conditions.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mathias Davids, Peter Dietz, Gudrun Ruyters, Manuela Roesler, Valerie Klein, Bastien Guerin, David A. Feinberg, Lawrence L. Wald
Summary: By analyzing various aspects of head gradient design using a detailed peripheral nerve stimulation (PNS) model, we have successfully designed a new high-performance asymmetric head gradient coil to raise PNS thresholds and maximize usable image-encoding performance.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Filiz Yetisir, Esra Abaci Turk, Elfar Adalsteinsson, Lawrence Leroy Wald, Patricia Ellen Grant
Summary: This study evaluates the imaging performance of two-channel RF-shimming for fetal MRI at 3 T using four different local specific absorption rate (SAR) management strategies. The results show that the use of subject-specific models with local SAR limits based on maximum CP mode SAR levels in the pregnant population can safely and significantly improve the transmit field inside the fetus.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ehsan Kazemivalipour, Lawrence L. Wald, Bastien Guerin
Summary: This study models the performance of parallel transmission arrays with different channel numbers for brain imaging and compares them with birdcage coils and cylindrical pTx coils. The results show that helmet designs outperform cylindrical pTx arrays in terms of local specific absorption rate and flip-angle uniformity, especially for non-transverse slice excitations.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Engineering, Biomedical
Erica E. Mason, Eli Mattingly, Konstantin Herb, Stephen F. Cauley, Monika Sliwiak, John M. Drago, Matthias Graeser, Emiri T. Mandeville, Joseph B. Mandeville, Lawrence L. Wald
Summary: This study evaluates magnetic particle imaging (MPI) as a new functional imaging modality by mapping the cerebral blood volume (CBV) response. The results show that MPI has higher sensitivity than functional magnetic resonance imaging (fMRI) in detecting changes in CBV.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
