Review
Chemistry, Multidisciplinary
Bradley J. Roth
Summary: This review examines the use of magneto-acoustic methods to measure electrical conductivity in biological samples, focusing on two techniques developed in the last two decades: Magneto-Acoustic Tomography with Magnetic Induction (MAT-MI) and Magneto-Acousto-Electrical Tomography (MAET). These developments have the potential to change the way medical doctors image biological tissue.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Anshul Sharma, Ravibabu Mulaveesala, Geetika Dua, Vanita Arora, Navin Kumar
Summary: Active infrared thermography has become important in the field of non-destructive testing and evaluation, with digitized frequency modulated thermal wave imaging providing an effective solution for estimating the stages of osteoporosis.
IEEE SENSORS JOURNAL
(2021)
Article
Physics, Applied
Hongjia Liu, Yanhong Li, Guoqiang Liu
Summary: Magneto-thermal-acoustic imaging is a novel medical imaging modality that utilizes the thermoacoustic effect of magnetic nanoparticles (MNPs). A new dual-modality imaging strategy was proposed by combining thermoacoustic (TA) and echo signals. By fusing the imaging results of TA and echo signals, a boundary distribution map of breast cancer model was obtained, accurately locating the tumor tissue.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2023)
Article
Chemistry, Physical
Whee-Soo Kim, Sungjin Min, Su Kyeom Kim, Sunghwi Kang, Soohwan An, Ernesto Criado-Hidalgo, Hunter Davis, Avinoam Bar-Zion, Dina Malounda, Yu Heun Kim, Jae-Hyun Lee, Soo Han Bae, Jin Gu Lee, Minsuk Kwak, Seung-Woo Cho, Mikhail G. Shapiro, Jinwoo Cheon
Summary: Magneto-gas vesicles (MGVs) are protein nanostructures that combine gas vesicles and magnetic nanoparticles, enabling non-invasive, long-term, and quantitative monitoring of mechanical properties in living tissues. They significantly improve signal strength and detection sensitivity, offering potential for non-invasive imaging of tissue elasticity and applications in disease diagnosis and treatment.
Article
Instruments & Instrumentation
V. Gopi Tilak, V. S. Ghali, A. Vijaya Lakshmi, B. Suresh, R. B. Naik
Summary: The study investigates the utilization of the local outlier factor (LOF), one-class support vector machine (OCSVM), and isolation forest (IF) algorithms for automatic anomaly detection in thermal wave imaging, demonstrating their capability to detect anomalies in a carbon fiber reinforced polymer specimen with holes of different sizes and depths. The results indicate that these machine learning algorithms exhibit strong performance in thermal wave imaging.
INFRARED PHYSICS & TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Lorenzo Vangelista, Alessandro Cattapan
Summary: This paper presents a new synchronization subsystem for a LoRaWAN receiver that meets the requirements for successful demodulation and detection of the data part, considering the usual operating regions. Different options for the subsystem are provided, and its performance is evaluated through simulations.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Materials Science, Characterization & Testing
Xin Zhao, Zenghua Liu, Yu Gong, Zhilin Huo, Zhengyu Chen, Cunfu He, Bin Wu
Summary: The study utilized an advanced magneto-acoustic compound inspection method to evaluate the performance degradation of 12CrMoV steel. New parameters were introduced to assess the degradation, showing that ultrasonic waves were more sensitive to microstructural changes, making the magneto-acoustic compound inspection method advantageous for evaluating the performance degradation of 12CrMoV steel.
NDT & E INTERNATIONAL
(2021)
Article
Materials Science, Characterization & Testing
G. T. Vesala, V. S. Ghali, D. V. A. Rama Sastry, R. B. Naik
Summary: This article proposes a new deep learning model based on thermographic data for unsupervised and object independent anomaly detection. The model utilizes transfer learning to extract deep features from thermal profiles and overcomes the limitations of supervised deep neural network models. The performance is evaluated using F-Score and AUC, and a visualization method based on depth estimation is presented for easier characterization.
NDT & E INTERNATIONAL
(2022)
Article
Engineering, Electrical & Electronic
Qianwen Liu, Xiangdong Gao, Guangwen Ye, Nvjie Ma, Congyi Wang, Sang Feng, Yanxi Zhang
Summary: This study investigates the feasibility and imaging process of magneto-optical imaging (MOI) in detecting complicated welding cracks. The results show that the simulated magneto-optical images of welding cracks are consistent with the actual images. Differences in magnetic flux density extremums and the shape of the welding crack affect the clarity and consistency of the magneto-optical images.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Biomedical
Jin Chen, Xiwei Huang, Xuefeng Xu, Renjie Wang, Maoyu Wei, Wentao Han, Jiafei Cao, Weipeng Xuan, Yakun Ge, Junchao Wang, Lingling Sun, Ji-Kui Luo
Summary: The study presents an integrated platform that combines acoustophoresis-based separator and lensless imaging sensor to separate, distinguish, and count microbeads of different sizes label-free. Experimental results demonstrate the excellent performance of the platform, offering a promising solution for label-free cell separation and detection in biomedical diagnostics.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Yifan Wang, Ziyu Hua, Jiachen Shi, Zongren Dai, Jiagang Wang, Liyang Shao, Yidong Tan
Summary: We propose and demonstrate a novel LiDAR system for 3-D imaging, combining LFI and FMCW. The system effectively enhances the amplitude of the generated beat signal, improving the sensitivity in weak-signal detection with low photon consumption. The system inherits the advantages of FMCW, measuring position and velocity simultaneously. Experimental results show valid distance and velocity measurement, and the system achieves high-quality 3-D imaging over 65 m away with a portable prototype.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Acoustics
Ruixu Liu, Ren Ma, Xu Liu, Xiaoqing Zhou, Xin Wang, Tao Yin, Zhipeng Liu
Summary: This article proposes a method called temporal-spatial interference magneto-acoustic stimulation (TIMAS), which combines transcranial magneto-acoustic stimulation (TMAS) and temporal interference stimulation (TIS) to achieve noninvasive and precisely controlled deep brain stimulation. The method utilizes the response of brain neurons to modulated low-frequency oscillation and the interference of ultrasonic waves to produce a modulated low-frequency signal for deep brain electrostimulation. The experimental results demonstrate that TIMAS has high spatial resolution and penetration, and meets the threshold for effective nerve stimulation.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Construction & Building Technology
Ning Xu, Ming Li, Saiyin Fang, Changlin Huang, Chumin Chen, Yue Zhao, Feilong Mao, Tingting Deng, Yuan Wang
Summary: The intrinsic frequency of wood is investigated using frequency sweeping and pencil-lead break (PLB) tests to detect hole defects. The study examines the influence of hole diameter and number on the natural frequency of wood, and proposes effective measures for non-destructive detection of holes. The results show that holes affect the propagation of AE signals and the energy decay rate increases with larger hole diameters and numbers.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Engineering, Electrical & Electronic
Jakub Svatos, Jan Holub
Summary: Automatic acoustic measurement detection systems are increasingly necessary for pointing out dangerous events in both military and civil areas. This system detects, localizes, and classifies acoustic impulse events, such as gunshots, using Mel frequency transformation and a support vector machine (SVM) algorithm. It can accurately locate the event and estimate the caliber of the firearm used. Tested with various firearms and ammunition, this system can reliably detect, localize, and classify hazardous acoustic events by training the classifier with diverse impulse acoustic events.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Biomedical
Wenshu Mai, Yuheng Wang, Tao Yin, Shunqi Zhang, Zhipeng Liu
Summary: This study proposes a non-invasive method based on the magneto-acoustic effect to detect electrical stimulation current, achieving high-precision measurement in isolated pork and pig brain samples. The method is validated through experiments and finite element analysis.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
