Article
Biochemical Research Methods
Soheil Hakakzadeh, Mohammadreza Amjadian, Yachao Zhang, Seyed Masood Mostafavi, Zahra Kavehvash, Lidai Wang
Summary: In a photoacoustic imaging system, limitations in detector bandwidth result in unwanted ripples in the signals, degrading resolution and contrast and producing artifacts in reconstructed images along the axial direction. To address this, a signal restoration algorithm is proposed which uses a mask to extract signals at absorber positions and remove unwanted ripples. The restoration improves axial resolution and contrast in reconstructed images.
BIOMEDICAL OPTICS EXPRESS
(2023)
Article
Engineering, Multidisciplinary
Seyed Abbas Shah Karam, Declan O'Loughlin, Barbara Luz Oliveira, Martin O'Halloran, Babak Mohammadzadeh Asl
Summary: Ultrasound and microwave imaging share similarities, but due to differences in signal paths, delays, and attenuations, ultrasound beamformers are not directly applicable to microwave imaging. This study demonstrated increased coherencies between certain antenna pairs and developed a novel beamformer that weights the received signals based on these characteristics to improve imaging quality.
Article
Engineering, Biomedical
Asraf Mohamed Moubark, Zainab Alomari, Mohd Hairi Mohd Zaman, Mohd Asyraf Zulkifley, Sawal Hamid Md Ali, Luzhen Nie, Steven Freear
Summary: The study evaluated the performance of FDMAS by fine-tuning Delta x to find its optimal value and improve boundary definition when BSAC segmentation was applied in ultrafast imaging. Results showed improvements in lateral resolution and image contrast ratio with reduced Delta x, offering a means to enhance boundary definition on B-mode images.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Chemistry, Analytical
Yuri Alvarez Lopez, Fernando Las-Heras Andres
Summary: Fourier-based imaging, along with backpropagation algorithms such as delay-and-sum, is widely used in microwave imaging due to its computational efficiency and maintained image resolution. This paper presents a modified version of the Fourier-based algorithm that takes into account the radiation field of the Tx/Rx antennas of the microwave imaging system, aiming to improve accuracy. The impact on the imaged targets is analyzed quantitatively and qualitatively, with performance compared to other aliasing mitigation methods in subsampled microwave imaging scenarios.
Article
Engineering, Electrical & Electronic
Si-Si Hao, Jian-Ying Li, Yao Feng, Xu-Jing Yu
Summary: In this study, we proposed a fast double-stage DMAS beamformer combined with the sign coherence factor (SCF) for breast cancer detection, and evaluated its performance on a three-dimensional-printed breast phantom. The results showed that the proposed algorithm outperformed other beamformers in terms of signal-to-clutter ratio, signal-to-mean ratio, and localization error.
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
(2022)
Article
Chemistry, Analytical
Abdulrahman Alqahtani, Mohammad Tariqul Islam, Md Siam Talukder, Md Samsuzzaman, Mohsen Bakouri, Sofiene Mansouri, Thamer Almoneef, Socrates Dokos, Yousef Alharbi
Summary: This article presents a modified monopole patch antenna designed for microwave-based stroke recognition. The antenna is constructed using a cost-effective material and has a wide bandwidth and high efficiency. Simulated and experimental results confirm its suitability for microwave imaging applications.
Review
Neuroimaging
Melissa Yeo, Bahman Tahayori, Hong Kuan Kok, Julian Maingard, Numan Kutaiba, Jeremy Russell, Vincent Thijs, Ashu Jhamb, Ronil Chandra, Mark Brooks, Christen D. Barras, Hamed Asadi
Summary: This article discusses the application of deep learning algorithms in medical imaging, particularly for the detection of intracranial hemorrhage in head NCCT studies. While deep learning algorithms can improve the diagnostic yield of this time-critical condition, they face various challenges in implementation.
JOURNAL OF NEUROINTERVENTIONAL SURGERY
(2021)
Review
Computer Science, Interdisciplinary Applications
Jinzhen Liu, Liming Chen, Hui Xiong, Yuqing Han
Summary: This paper discusses the development of microwave imaging algorithms for reconstructing stroke images. Compared with traditional stroke detection and diagnosis techniques, microwave imaging has the advantages of low price and no ionizing radiation hazards. The current research hotspots in the field of stroke include the design and improvement of microwave tomography, radar imaging, and deep learning imaging. However, the current research lacks the analysis and integration of microwave imaging algorithms. In this paper, the development of common microwave imaging algorithms is reviewed, and the concept, research status, current research hotspots and difficulties, and future development trends of microwave imaging algorithms are systematically expounded.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2023)
Article
Medicine, General & Internal
David O. Rodriguez-Duarte, Jorge A. Tobon Vasquez, Rosa Scapaticci, Giovanna Turvani, Marta Cavagnaro, Mario R. Casu, Lorenzo Crocco, Francesca Vipiana
Summary: This study validates the ability of a microwave prototype device to localize hemorrhages and ischemias within the brain and proposes an innovative calibration technique based on measured data. The microwave imaging system operates at 1 GHz with a low-complexity architecture, providing 3-D images of the brain region. The imaging algorithm utilizes a differential approach and accurate numerical models for effective device validation.
Article
Engineering, Biomedical
Leang Sim Nguon, Jungwung Seo, Kangwon Seo, Yeji Han, Suhyun Park
Summary: This paper proposes a deep learning-based ultrasound image reconstruction method that can achieve high-resolution and high-frame-rate imaging. The proposed deep learning beamformer outperforms traditional methods in terms of image quality and frame rate.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2022)
Article
Engineering, Biomedical
Seyyed Abbas Shah Karam, Declan O'Loughlin, Babak Mohammadzadeh Asl
Summary: This study presents a novel, fast and robust beamformer called DMAS-D4, which has the potential to be an alternative or complementary method for mammography in breast cancer screening. Compared to traditional methods, DMAS-D4 achieves higher contrast and finer resolution, leading to better tumor detectability. The proposed method can also be updated iteratively with new observations, making it highly practical and clinically applicable.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Acoustics
S. A. Asfandiyarov, P. B. Rosnitskiy, S. A. Tsysar, P. V. Yuldashev, V. A. Khokhlova, V. E. Sinitsyn, E. A. Mershina, O. A. Sapozhnikov
Summary: The paper presents the results of evaluating the thickness profile of a skull phantom using a two-dimensional ultrasound array. Two pulse-echo ultrasound methods, A-mode elementwise measurements and scanning with a focused probing beam created by the entire array using delay-and-sum (DAS) beamforming, were used in the experiment. The obtained thickness profiles were compared with the reference thickness profile obtained using X-ray computed tomography. The study showed that ultrasound DAS beamforming with a focused probing beam enables estimation of the thickness profile of the skull phantom.
ACOUSTICAL PHYSICS
(2023)
Article
Acoustics
Vincent Perrot, Maxime Polichetti, Francois Varray, Damien Garcia
Summary: Delay-and-sum (DAS) is a commonly used digital beamformer in high-frame-rate ultrasound imaging, with simple implementation and compatibility with real-time applications. Optimizing parameters such as f-number and speed of sound can improve image quality and prevent negative impact on standard metrics.
Article
Computer Science, Interdisciplinary Applications
L. Guo, N. Nguyen-Trong, A. Al-Saffar, A. Stancombe, K. Bialkowski, A. Abbosh
Summary: This study presents a calibrated microwave tomography method that addresses the mismatch between simulated environment and real-life system. The method uses two homogeneous calibration phantoms and a modified iterative solver to match the forward solver to real-life measurements. Experimental results confirm the effectiveness of the presented approach and its superiority to other tomographic methods.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Acoustics
Sajjad Afrakhteh, Hamid Behnam
Summary: The paper introduces a novel random synthetic transmit aperture (RSTA) method, which increases the data acquisition rate by randomly selecting a portion of linear array elements in the transmit mode and applying tensor completion (TC) to enhance image quality. The proposed method reduces data acquisition time significantly and has shown promising results in experiments.
Article
Engineering, Biomedical
Kamel S. Sultan, Amin M. Abbosh
Summary: With the increasing demand for onsite detection of knee injuries in sports activities, portable electromagnetic imaging (EMI) systems have the potential to meet that demand. However, there are challenges due to the accumulation of fluid after knee injury, and EMI should operate as a dual-polarized wearable system to address those challenges.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2022)
Article
Engineering, Biomedical
Lei Guo, Mojtaba Khosravi-Farsani, Anthony Stancombe, Konstanty Bialkowski, Amin Abbosh
Summary: In this study, a modified distorted Born iterative method (DBIM) is proposed for stroke detection and classification in brain imaging. By clustering the reconstructed electrical properties, the proposed method improves the accuracy and stability of the reconstruction, outperforming conventional methods.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Kamel S. Sultan, Beadaa Mohammed, Mohamed Manoufali, Ahmed Mahmoud, Paul C. Mills, Amin Abbosh
Summary: The study demonstrated the potential of an electromagnetic knee imaging system verified on ex-vivo pig knee joints to detect knee injuries, laying the groundwork for building a clinical application system that can detect and monitor knee injuries.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Amir Ganjavi, Firuz Zare, Dinesh Kumar, Amin M. Abbosh, Konstanty S. Bialkowski, Pooya Davari
Summary: This article addresses the modeling of common-mode currents in motor drive systems with long feeder cables. A mathematical approach is used to extract the common-mode model of power cables and model the noise sources. Through this modeling strategy, the harmonic spectrum of resonances can be precisely analyzed.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
L. Guo, N. Nguyen-Trong, A. Al-Saffar, A. Stancombe, K. Bialkowski, A. Abbosh
Summary: This study presents a calibrated microwave tomography method that addresses the mismatch between simulated environment and real-life system. The method uses two homogeneous calibration phantoms and a modified iterative solver to match the forward solver to real-life measurements. Experimental results confirm the effectiveness of the presented approach and its superiority to other tomographic methods.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Engineering, Electrical & Electronic
Seyed Mohammad Hadi Mousavi, Sasan Ahdi Rezaeieh, Amin Darvazehban, Beadaa Mohammed, Azin S. Janani, Amin M. Abbosh
Summary: This paper presents a tapered graded index (GRIN) lens antenna that enhances electromagnetic penetration into the human torso by generating focused planar near-field radiation. The antenna consists of a four-layer lens excited by a modified slot antenna, with each layer filled with engineered materials of specific relative permittivity values. The antenna achieves a focused plan-wave radiation by tapering the lens based on total internal reflection theory, resulting in improved wave penetration inside the torso compared to a body-matched antenna without a lens. The measured results show that the antenna operates over a wide band and achieves a significant improvement in wave penetration inside the torso compared to other existing GRIN lens antennas.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Biomedical
Syed Akbar Raza Naqvi, Ahmed Toaha Mobashsher, Beadaa Mohammed, Damien Foong, Amin Abbosh
Summary: The aim of this study is to characterize non-melanoma malignancies and their corresponding benign conditions in ex-vivo/in-vivo tissue environments, and to investigate the feasibility of microwave techniques for skin cancer detection. The results suggest that there are significant differences in the dielectric properties between cancerous and healthy skin in the in-vivo environment, indicating the potential viability of the microwave band for skin cancer detection.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Computer Science, Theory & Methods
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, Jose Santamaria, A. S. Albahri, Bashar Sami Nayyef Al-dabbagh, Mohammed. A. A. Fadhel, Mohamed Manoufali, Jinglan Zhang, Ali. H. H. Al-Timemy, Ye Duan, Amjed Abdullah, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu, Amin Abbosh, Yuantong Gu
Summary: Data scarcity is a major challenge in training deep learning models due to the need for a large amount of labeled data. Manual labeling is costly and time-consuming, and many applications lack sufficient data for training. This paper presents a comprehensive overview of state-of-the-art techniques to address the issue of data scarcity in deep learning and provides recommendations for data acquisition and ensuring the trustworthiness of training datasets.
JOURNAL OF BIG DATA
(2023)
Review
Engineering, Electrical & Electronic
Lei Guo, Abdulrahman S. M. Alqadami, Amin Abbosh
Summary: Microwave imaging has gained attention as a potential method for rapid and affordable stroke diagnosis without ionizing radiation. It can be used as a portable scanning device in various settings. While progress has been made, there are still challenges to be overcome for the development of robust and reliable clinical systems. This paper reviews recent systems and processing algorithms, highlighting the progress and limitations in microwave imaging for stroke diagnosis.
IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY
(2023)
Article
Computer Science, Information Systems
Arman Afsari, Amin Abbosh, Yahya Rahmat-Samii
Summary: Particle swarm optimization (PSO), genetic algorithm (GA), and nonlinear simplex optimization method (SOM) are popular gradient-free optimization algorithms in engineering. SOM has faster convergence rate than PSO and GA in electromagnetic optimization problems with less than 10 parameters, but PSO and GA outperform SOM in finding the global minimum. To improve the accuracy of SOM in problems with few parameters, a quasi-gradient (Q-G) search direction is added to the algorithm.
Proceedings Paper
Engineering, Electrical & Electronic
Fei Xue, Lei Guo, Amin Abbosh
Summary: A deep learning algorithm is proposed for microwave imaging of complex objects, which provides an efficient and fast solution to inverse electromagnetic problems. The algorithm uses a cascaded structure of convolutional and U-net neural networks to solve the scattered wide-band time domain signals. With training and testing using 2000 sets of data covering the band 0.5-2 GHz and complex shaped targets irradiated by 16 antennas, the algorithm achieves mean Intersection over Union (IoU) values near 0.7 for all tested cases and more than 80% of tested cases have less than 50% relative errors compared to the ground truth. These results demonstrate the great potential of the developed algorithm in localization, shape reconstruction, and classification of complex objects in microwave imaging.
2023 5TH AUSTRALIAN MICROWAVE SYMPOSIUM, AMS
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Haoyu Zhou, Lei Guo, Amin Abbosh
Summary: A continuously tunable phase shifter based on liquid crystal is proposed, with a working frequency from 10GHz to 60GHz. By using a stripline structure instead of the commonly used inverted microstrip line structure, a larger portion of the waves propagate inside the LC mixture, fully utilizing the tunability brought by the liquid crystal. The proposed structure achieves significantly higher figure of merit values compared to the inverted microstrip line structure, providing 86% more phase shift while maintaining the same insertion loss.
2023 5TH AUSTRALIAN MICROWAVE SYMPOSIUM, AMS
(2023)
Review
Engineering, Electrical & Electronic
Kamel Sultan, Amin Abbosh
Summary: This article thoroughly reviews the current state of EM knee imaging technology, with a specific focus on the systems, frameworks, and challenges involved in its translation to practical clinical usage. The review serves as a valuable resource for researchers, clinicians, and engineers engaged in knee imaging research.
IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY
(2023)
