Article
Engineering, Electrical & Electronic
Nozhan Bayat, Puyan Mojabi
Summary: The research modified the standard weighted L-2 norm total variation multiplicative regularization (MR) originally developed for microwave imaging (MWI) algorithms to incorporate structural prior information about the object being imaged, known as spatial priors (SPs). The proposed augmented MR (AMR) approach requires minimal changes to existing MWI algorithms while being able to handle partial spatial priors and enhance quantitative accuracy achievable from MWI to some extent, as demonstrated with two experimental data sets.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Biochemical Research Methods
Peng Zhang, Chenbin Ma, Fan Song, Zeyu Liu, Youdan Feng, Yangyang Sun, Yufang He, Fei Liu, Daifa Wang, Guanglei Zhang
Summary: Limited-projection fluorescence molecular tomography (FMT) is a challenging task due to its ill-posed nature and the strong scattering properties of photons. In this study, a parameterized generative adversarial network called MAP-PGAN is proposed to achieve fast and accurate limited-projection FMT reconstruction. The method utilizes multi-branch attention to provide weighted sparse prior information for fluorescent sources, effectively mitigating the ill-posedness and improving reconstruction accuracy. The proposed MAP-PGAN method outperforms state-of-the-art methods in terms of localization accuracy and morphological recovery, while significantly reducing reconstruction time.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Computer Science, Interdisciplinary Applications
Haibo Zhang, Linqi Hai, Jiaojiao Kou, Yuqing Hou, Xiaowei He, Mingquan Zhou, Guohua Geng
Summary: In this study, we proposed an optimized prior knowledge method for CB-XLCT imaging, which utilized a non-convex optimization model and an iterative algorithm to obtain a group of sparse solutions. The reasonable permissible source region (PSR) was achieved by intersecting a series of permissible regions (PRs), which enhanced the quality of inverse reconstruction.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Engineering, Biomedical
Seung Kwan Kang, Jae Sung Lee
Summary: This study proposes a Bowsher prior based on the l(1)-norm and an iteratively reweighting scheme for Anatomy-Guided regularized PET image reconstruction, which overcomes the limitations of the original Bowsher method and improves small lesion detection and contrast enhancement.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Gertjan Maenhout, Tomislav Markovic, Ilja Ocket, Bart Nauwelaers
Summary: This paper presents a nondestructive complementary split ring resonator (CSRR) with a large shift in resonant frequency and penetration depth. Additionally, a deconvolution-based method is proposed to enhance the spatial resolution of the sensors.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Preeti Gopal, Sharat Chandran, Imants Svalbe, Ajit Rajwade
Summary: Tomographic reconstruction from undersampled measurements is necessary for fast or resource-expensive measurement processes. Utilizing object-prior information helps in the reconstruction, but can also influence the reconstruction of new changes in the test. This work proposes a technique that estimates the location of changes and only imposes object-prior in similar regions to mitigate this problem.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Genwei Ma, Yinghui Zhang, Xing Zhao, Tong Wang, Hongwei Li
Summary: Limited-angle reconstruction is a challenging task, and conventional algorithms introduce heavy artifacts. This paper proposes an alternating edge-preserving diffusion and smoothing neural network (AEDSNN) for limited-angle reconstruction, which outperforms existing methods by eliminating the need for parameter-tuning, being faster, and working well with piecewise smooth images.
Article
Astronomy & Astrophysics
Emma Perracchione, Paolo Massa, Anna Maria Massone, Michele Piana
Summary: This study aims to design an image reconstruction method relying on enhanced visibility interpolation in the Fourier domain, utilizing Variably Scaled Kernels (VSKs) to achieve feature augmentation. Compared to previous interpolation-based algorithms, VSKs offer significantly better performance in image reconstruction, particularly in cases of sparse Fourier domain sampling or specific flaring source characteristics.
ASTROPHYSICAL JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Chaitanya Narendra, Puyan Mojabi
Summary: A phaseless Gauss-Newton inversion (PGNI) algorithm has been developed for microwave imaging applications, which differs from traditional inversion methods by using magnitude-only total field data. The algorithm is augmented with three forms of regularization, one for cases with no prior information and two for incorporating prior information about the objects being imaged. Testing of the PGNI, SL-PGNI, and SP-PGNI inversion algorithms was conducted using synthetic and experimental phaseless total field data.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Chemistry, Physical
Fuyu Li, Yuanxun Li, Yang Luo, Jinping Zhang, Yongcheng Lu, Rui Peng, Tingting Tang, Qiye Wen
Summary: This article reports a novel Zn0.96Cu0.oMoO4 ceramic and its application in microwave imaging devices. The substitution behavior and microwave dielectric properties of the ceramic are systematically studied. The ceramic exhibits excellent microwave dielectric properties when sintered at 825 degrees C. A 40 x 40 microstructure array for static microwave imaging is designed based on this ceramic substrate. This work opens up the application of microwave dielectric ceramics in the imaging field.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Geochemistry & Geophysics
Cuneyt Utku
Summary: A new microwave imaging technique utilizing partial coherence in thermal radiation of objects is proposed for reconstructing complex permittivity profiles of lossy dielectric objects. The method differs from interferometric radiometry and is distinct in its reliance on thermal radiation and not electromagnetic scattering. Equations governing the method are presented, along with simulations demonstrating its potential for complex permittivity reconstruction in two dimensions.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Matteo Alparone, Ferdinando Nunziata, Claudio Estatico, Maurizio Migliaccio
Summary: This study addresses the improvement of spatial resolution in microwave radiometer measurements by comparing the accuracy of a gradient-like antenna pattern deconvolution method with its accelerated versions. The analysis shows that accelerated methods perform better when dealing with spot-like discontinuities, while showing similar performance to the canonical gradient method for large discontinuities. These techniques are crucial for research on global warming and climate change, providing reliable long time series of remotely sensed Earth data for identifying and studying climate trends.
Article
Environmental Sciences
Xiaocheng Yang, Zhenyi Yang, Jingye Yan, Lin Wu, Mingfeng Jiang
Summary: A multi-parameter regularization method is proposed for reconstructing SAIR brightness temperature distribution, which compared with traditional methods, can better preserve detailed information, improve accuracy, and demonstrate superior noise suppression.
Article
Mathematics, Applied
Fang Li, Xiao-Guang Lv
Summary: In this paper, a nonconvex and nonsmooth image prior based on the hyperbolic tangent function is proposed and applied to image restoration and reconstruction problems. Theoretical analysis and numerical algorithms demonstrate its effectiveness.
JOURNAL OF SCIENTIFIC COMPUTING
(2023)
Article
Computer Science, Interdisciplinary Applications
Jinbum Kang, Chiao Huang, Charles Perkins, Alexander Alvarez, Leonid Kunyansky, Russell S. Witte, Matthew O'Donnell
Summary: Acoustoelectric (AE) imaging has the potential to image biological currents with high spatial and temporal resolution. However, it does not directly map the current field distribution. In this study, a new method for current source density (CSD) imaging is proposed, which involves inverting the fundamental AE equation using truncated singular value decomposition (TSVD) combined with Tikhonov regularization. The feasibility of the method is demonstrated through simulation, bench-top phantom studies, and in vivo swine heart models.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Amir H. Golnabi, Paul M. Meaney, Keith D. Paulsen
Article
Pediatrics
Courtney M. Peterson, Haiyan Su, Diana M. Thomas, Moonseong Heo, Amir H. Golnabi, Angelo Pietrobelli, Steven B. Heymsfield
Article
Engineering, Biomedical
Paul M. Meaney, Douglas Goodwin, Amir H. Golnabi, Tian Zhou, Matthew Pallone, Shireen D. Geimer, Gregory Burke, Keith D. Paulsen
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2012)
Article
Radiology, Nuclear Medicine & Medical Imaging
Paul M. Meaney, Amir H. Golnabi, Neil R. Epstein, Shireen D. Geimer, Margaret W. Fanning, John B. Weaver, Keith D. Paulsen
Article
Multidisciplinary Sciences
Amir H. Golnabi, R. Scott Harris, Jose G. Venegas, Tilo Winkler
Article
Radiology, Nuclear Medicine & Medical Imaging
Mehdi Samavati, Alireza Ahmadian, Hamidreza Abtahi, Amirhossein Golnabi, Reza Arjmandi Asl
IRANIAN JOURNAL OF RADIOLOGY
(2019)
Article
Chemistry, Analytical
Paul Meaney, Shireen Geimer, Amir Golnabi, Keith Paulsen
Summary: This paper investigates the effects of skin on breast imaging and finds that the impact of skin is minor when using transmission-based measurement data and lossy coupling materials.
Proceedings Paper
Engineering, Electrical & Electronic
Briana Goncalves, Ausamah Hobbi, Amir H. Golnabi
PROCEEDINGS OF THE 6TH IEEE INTEGRATED STEM EDUCATION CONFERENCE
(2016)
Proceedings Paper
Engineering, Electrical & Electronic
N. R. Epstein, P. M. Meaney, A. Golnabi, S. D. Geimer, Keith D. Paulsen
2012 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM (APSURSI)
(2012)
Proceedings Paper
Optics
Amir H. Golnabi, Paul M. Meaney, Neil R. Epstein, Keith D. Paulsen
MEDICAL IMAGING 2012: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING
(2012)
Proceedings Paper
Engineering, Biomedical
Neil R. Epstein, Amir H. Golnabi, Paul M. Meaney, Keith D. Paulsen
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2011)
Proceedings Paper
Engineering, Biomedical
Amir H. Golnabi, Paul M. Meaney, Neil R. Epstein, Keith D. Paulsen
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2011)
Article
Radiology, Nuclear Medicine & Medical Imaging
Amir H. Golnabi, Paul M. Meaney, Shireen D. Geimer, Keith D. Paulsen
JOURNAL OF MEDICAL PHYSICS
(2011)