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
Computer Science, Interdisciplinary Applications
Hyunwoo Song, Jeeun Kang, Emad M. Boctor
Summary: This paper presents a novel design framework for synthetic radial aperture focusing in three-dimensional transrectal ultrasound imaging. The framework involves synthesizing multiple transmittance/reception events at different scanning angles to reconstruct a radial plane in the target volume, resulting in higher spatial resolution and texture uniformity. A closed-form analytical description of the method is provided for the first time, outlining the spatial resolution and grating lobe positions in the radial dimension of a TRUS transducer. An optimization workflow based on this theoretical foundation is demonstrated to enhance spatiotemporal resolution, grating lobe artifacts, and signal-to-noise ratio. The optimized TRUS-rSAF method significantly improves spatial resolution while maintaining clinically effective temporal resolution, outperforming a reference clinical 3D TRUS imaging method.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Biochemical Research Methods
Amir Refaee, Corey J. Kelly, Hamid Moradi, Septimiu E. Salcudean
Summary: The study trained generative adversarial networks to mimic the effect of temporal averaging and singular value decomposition denoising, effectively improving signal-to-noise ratio and reducing acquisition artifacts. Experimental results demonstrated superior performance of the method in RF data and photoacoustic reconstructions compared to using SVD denoising or frame averaging individually.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Computer Science, Hardware & Architecture
Jian Zhou, Sumit K. Mandal, Brendan L. West, Siyuan Wei, Umit Y. Ogras, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenisch, Chaitali Chakrabarti
Summary: 3-D ultrasound imaging offers advantages over 2-D for more accurate tumor and cyst analysis, but 3-D systems face challenges with data processing speed for power-constrained portable systems. Synthetic aperture sequential beamforming (SASB) resolves this by splitting computation into two stages.
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
(2021)
Article
Biochemical Research Methods
Anjali Thomas, Souradip Paul, Mayanglambam Suheshkumar Singh
Summary: We report an adaptive energy-compensated synthetic aperture focusing technique (eC-SAFT) for improving the imaging performance of photoacoustic microscopy (PAM). Experimental validation studies show that the proposed technique outperforms conventional methods in terms of axial resolution, lateral resolution, SNR, and contrast.
JOURNAL OF BIOPHOTONICS
(2023)
Article
Acoustics
Hasti Rostamikhanghahi, Sayed Mahmoud Sakhaei
Summary: The paper presents a novel method for designing transmit and receive beamformers in synthetic aperture (SA) ultrasound imaging. The method utilizes a virtual array with a lateral response equal to that of the two-way beamformer on SA, and enhances resolution by increasing the length of the virtual aperture. Additionally, the method obtains a better estimation of the covariance matrix and achieves higher resolution and contrast properties through adaptive minimum variance (MV) beamforming.
ULTRASONIC IMAGING
(2023)
Article
Geochemistry & Geophysics
Yashi Zhou, Wei Wang, Zhen Chen, Pei Wang, Huachun Zhang, Jinsong Qiu, Qingchao Zhao, Yunkai Deng, Zhimin Zhang, Weidong Yu, Robert Wang
Summary: The article introduces a 16-channel in elevation airborne X-band DBF-SAR system with 500-MHz bandwidth, designed as a test bed to support future spaceborne DBF-SAR system in China, and successfully conducted an airborne flight experiment to validate the system's feasibility and operability in November 2019. The quantitative assessment of SPL combined with real airborne data shows a practical SNR improvement of 11.23 dB, emphasizing DBF technology's significant role in improving SAR image quality for next generation HRWS technology.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Peng Chen, Long Zuo, Wei Wang
Summary: This paper introduces an improved adaptive beamforming algorithm by reconstructing the interference-plus-noise covariance matrix to address model mismatch in unknown curvilinear trajectories, using the concept of signal subspace fitting to construct a joint optimization problem.
Article
Environmental Sciences
Pietro Guccione, Daniele Mapelli, Davide Giudici, Adriano Rosario Persico
Summary: This paper presents the design and processing of a SAR acquisition technique called frequency scanning (f-SCAN). The f-SCAN technique aims to improve sensitivity to low backscattering targets and enhance the signal-to-noise ratio in wide-swath SAR systems. Compared to the scanning on receive method (SCORE), f-SCAN requires less hardware complexity while improving sidelobes and ambiguities' suppression. The paper introduces the methodology to design an f-SCAN spaceborne SAR high-resolution wide-swath (HRWS) system and also discusses the processing of f-SCAN data, including a novel algorithm to limit data volume and ensure an almost invariant slant range impulse response function (IRF).
Article
Chemistry, Multidisciplinary
Nick Bottenus
Summary: This study presents an approach that uses a simple linear sliding fixture to control the motion of the ultrasound transducer and estimates motion from the ultrasound data itself. It demonstrates the ability of this approach to accurately estimate lateral transducer motion and form SSA images with improved resolution and target detectability.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Manuel Reza, Giovanni Serafino, Tobias Otto, Ahmad Mohammad, Hakimeh Mohammadhosseini, Leili Shiramin, Francesco Floris, Matthias Kolb, Dave Bail, Simone Gabrielli, Chris Roeloffzen, Paul van Dijk, Amin Abbasi, Bart Desoete, Paolo Ghelfi
Summary: Synthetic aperture radar is a remote sensing technology widely used in various fields, enabling enhanced imaging capabilities through beamforming of multiple simultaneous antenna beams for wider swath observations and finer azimuthal resolution.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Acoustics
Valeria Grasso, Regine Willumeit-Roemer, Jithin Jose
Summary: This research proposes a novel data-driven framework for an improved assessment of tissue chromophores. The framework utilizes the SPAX approach for detecting tissue spectral signatures and an advanced spectral coloring compensation method. The results show enhanced specificity and sensitivity for tissue chromophore detection.
Article
Acoustics
Jingke Zhang, Yuanyuan Wang, Jing Liu, Qiong He, Rui Wang, Hongen Liao, Jianwen Luo
Summary: CS-STA is extended to the I/Q domain for the recovery of baseband STA I/Q dataset, accelerating the reconstruction process and reducing data processing. Simulations, phantom, and in vivo experiments confirm the feasibility and improved reconstruction speed of CS-STA in the I/Q domain for recovering STA dataset.
Article
Acoustics
Morteza Mirzaei, Amir Asif, Hassan Rivaz
Summary: Ultrasound elastography is a noninvasive imaging technique that visualizes the mechanical properties of tissue, with better accuracy in estimating axial displacement compared to lateral direction. Virtual source synthetic aperture (VSSA) imaging, on the other hand, overcomes limitations of synthetic aperture in depth of field while maintaining the same lateral resolution.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Chemistry, Analytical
Yanjie Zhang, Tianyou Li, Hongkai Chen, Zhihui Xu, Xinyao Li, Wangzhe Du, Yaxing Liu
Summary: This paper proposes a noncontact internal defect imaging method for cylindrical components and establishes an automatic photoacoustic testing platform. The proposed method utilizes a synthetic aperture focusing technology based on laser ultrasonic and analyzes the relationship between imaging quality and position of discrete points. The validity of the method is verified through testing small holes in an aluminum alloy rod. The results show high accuracy in presenting the outline of the small hole, with circumferential resolution less than 1° and dimensional accuracy and position error less than 0.1 mm.
Article
Neurosciences
Jeeun Kang, Haichong K. Zhang, Shilpa D. Kadam, Julie Fedorko, Heather Valentine, Adarsha P. Malle, Ping Yan, Maged M. Harraz, Jin U. Kang, Arman Rahmim, Albert Gjedde, Leslie M. Loew, Dean F. Wong, Emad M. Boctor
FRONTIERS IN NEUROSCIENCE
(2019)
Article
Acoustics
Yixuan Wu, Haichong K. Zhang, Jeeun Kang, Emad M. Boctor
Article
Robotics
Ryosuke Tsumura, John W. Hardin, Keshav Bimbraw, Anne Grossestreuer, Olushola S. Odusanya, Yihao Zheng, Jeffrey C. Hill, Beatrice Hoffmann, Winston Soboyejo, Haichong K. Zhang
Summary: The novel coronavirus pandemic has highlighted the crucial role of global health systems preparedness. Two-dimensional lung ultrasound (LUS) has emerged as a rapid and noninvasive imaging tool for diagnosing COVID-19 infected patients. Concerns regarding physical contact between patients and operators in LUS have led to the exploration of a tele-operative robotic ultrasound platform for use in COVID-19 infected patients. Preliminary results show that robotic LUS can be successfully applied in humans, with potential benefits for resource-limited settings.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Acoustics
Yichuan Tang, Ryosuke Tsumura, Jakub Tomasz Kaminski, Haichong K. Zhang
Summary: This study proposes a mechanism for 3-D ultrasound imaging using an actuated acoustic reflector, which provides a wider field-of-view. The synthetic aperture focusing method improves image quality and has the potential to enhance the 3-D visualization of human anatomy. Experimental results confirm the feasibility of this imaging mechanism.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Oncology
Xinyue Huang, Hamed Hooshangnejad, Debarghya China, Ziwei Feng, Junghoon Lee, Muyinatu A. Lediju Bell, Kai Ding
Summary: This study proposes a novel shape estimation method for a flexible array transducer to enhance abdomen motion monitoring. The method successfully reconstructs high-quality ultrasound images with significantly less defocusing and distortion.
Article
Engineering, Biomedical
Ashiqur Rahaman, Yichuan Tang, Shang Gao, Xihan Ma, Igor Sorokin, Haichong K. Zhang
Summary: Ultrasound guided access for percutaneous nephrolithotomy is gaining popularity in urology as it reduces radiation risk. The use of a through-hole array concept can mitigate the limitations of manual image-needle alignment and provide a breakthrough for deeper target applications.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Keshav Bimbraw, Christopher J. J. Nycz, Matthew Schueler, Ziming Zhang, Haichong K. K. Zhang
Summary: In this paper, a CNN-based deep learning pipeline is proposed for predicting MCP joint angles. The results show that SVC and CNN achieve an accuracy of over 80% in classifying ultrasound images. A low-latency pipeline is also proposed for real-time control of human-machine interfaces.
IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS
(2023)
Article
Robotics
Xihan Ma, Wen-Yi Kuo, Kehan Yang, Ashiqur Rahaman, Haichong K. Zhang
Summary: Automated ultrasound imaging systems can overcome the physical demands of conventional manual ultrasound imaging for sonographers, and also expand ultrasound accessibility in resource-limited environments with a shortage of human operators. This study proposes a novel end-effector design that achieves automatic positioning of the ultrasound probe, ensuring high-quality ultrasound images.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Proceedings Paper
Engineering, Biomedical
Jakub T. Kaminski, Khashayar Rafatzand, Haichong K. Zhang
Summary: Classical medical ultrasound procedures require high physical and cognitive burden on operators, yielding results that are highly operator-dependent and may diminish trust in the accuracy of ultrasound imaging data. In contrast, robotic ultrasound procedures integrate a robotic arm with an ultrasound probe to achieve automated or semi-automated scanning, resulting in more informative and comparable scan results.
MEDICAL IMAGING 2020: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING
(2021)
Proceedings Paper
Engineering, Biomedical
Yichuan Tang, Vanshika Rohera, Enhxi Jaupi, Mattew Bruno, Lianne Ureneck, Marilyn E. Galdamez, Marsha W. Rolle, Haichong K. Zhang
Summary: Advancements in bio-engineering technology have enabled artificial cultivation of tissues from human cells, with a focus on developing tissue engineered blood vessels (TEBVs) for vascular disease treatment. In this study, a USCT monitoring system was implemented to assist in quality control during TEBV growth, demonstrating feasibility through experimental validation.
MEDICAL IMAGING 2021: ULTRASONIC IMAGING AND TOMOGRAPHY
(2021)
Proceedings Paper
Engineering, Biomedical
Yichuan Tang, Aditya Malik, Haichong K. Zhang
Summary: This study introduces a needle insertion mechanism that utilizes 3D US imaging to provide a larger field of view and co-registers the image plane with the needle path, assisting in needle insertion procedures.
MEDICAL IMAGING 2021: ULTRASONIC IMAGING AND TOMOGRAPHY
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Ryosuke Tsumura, Haichong K. Zhang
PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Ryosuke Tsumura, Yichuan Tang, Haichong K. Zhang
PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Shang Gao, Ryosuke Tsumura, Doua P. Vang, Keion Bisland, Keshuai Xu, Yasuyuki Tsunoi, Haichong K. Zhang
PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)
(2020)
Proceedings Paper
Engineering, Biomedical
Ryosuke Tsumura, Doua P. Vang, Nobuhiko Hata, Haichong K. Zhang
MEDICAL IMAGING 2020: ULTRASONIC IMAGING AND TOMOGRAPHY
(2020)
