Article
Chemistry, Analytical
Chiho Yoon, Changyeop Lee, Keecheol Shin, Chulhong Kim
Summary: This paper presents a new motion compensation method for removing motion artifacts in photoacoustic imaging, and its effectiveness is verified through experiments. This method has significant implications for clinical applications of photoacoustic imaging.
Article
Orthopedics
M. Wu, B. C. J. van Teeffelen, K. Ito, E. N. van de Vosse, R. P. A. Janssen, C. C. van Donkelaar, R. G. P. Lopata
Summary: This study investigates the potential of spectroscopic photoacoustic imaging in characterizing cartilage damage, demonstrating clear collagen-related spectral changes that correlate with different degrees of cartilage damage. The results show promise for the clinical application of photoacoustic imaging in early diagnosis and monitoring of osteoarthritis.
OSTEOARTHRITIS AND CARTILAGE
(2021)
Article
Engineering, Electrical & Electronic
Zhongwen Cheng, Haigang Ma, Zhiyang Wang, Wuyu Zhang, Fei Yang, Sihua Yang
Summary: The study introduces a subpixel and on-line motion correction method for clinical application of PAD, which achieves high-accuracy motion correction by subpixel motion estimation. This method improves image quality and increases the structural similarity index measurement (SSIM) and peak signal-to-noise ratio (PSNR) between adjacent images.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2021)
Article
Biochemical Research Methods
Tobias Erlov, Rafi Sheikh, Ulf Dahlstrand, John Albinsson, Malin Malmsjo, Magnus Cinthio
Summary: The study demonstrated the feasibility of an in-house algorithm for regional motion correction of in vivo human photoacoustic images, showing a high level of accuracy and effectiveness. The mean square error of PA images decreased by 52 +/- 15% to 43 +/- 19% depending on the experimental conditions.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Acoustics
Jiangbo Chen, Yachao Zhang, Jingyi Zhu, Xu Tang, Lidai Wang
Summary: This study presents a novel freehand scanning photoacoustic microscopy (FS-PAM) technique that allows flexible imaging of various anatomical sites. Researchers developed a compact handheld photoacoustic probe that enables high-speed and flexible 3D imaging. The technique achieves fast in vivo imaging, reducing motion artifacts and distortions, and holds promise for a wide range of biomedical applications.
Review
Engineering, Biomedical
Andre Z. Kyme, Roger R. Fulton
Summary: Patient motion affects SPECT, PET, and CT imaging by causing projection data inconsistencies, leading to reconstruction artifacts and compromised image quality. Methods to estimate and correct for motion in these modalities have been developed over decades, with ongoing efforts to improve clinical feasibility and utility. Further developments in data-driven methods, including the use of deep learning, hold promise for enhancing clinical utility in motion estimation and correction.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Zhichao Liang, Shuangyang Zhang, Jian Wu, Xipan Li, Zhijian Zhuang, Qianjin Feng, Wufan Chen, Li Qi
Summary: Preclinical imaging with photoacoustic tomography (PAT) has gained attention for its ability to provide molecular contrast with deep imaging depth. Automatic extraction and segmentation of animals in PAT images is crucial for improving image analysis efficiency and enabling advanced image post-processing. By proposing a volumetric auto-segmentation method based on the 3-D optimal graph search (3-D GS) algorithm, the study ensures surface continuity and enhances the accuracy and smoothness of segmented animal surfaces. Testing the method in vivo nude mice imaging experiments showed successful retention of continuous global surface structure and smooth local subcutaneous tumor boundaries in different development stages, leading to enhanced structural visibility and uniform image intensity in LF corrected PAT images.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Computer Science, Interdisciplinary Applications
Zheng Sun, Jiejie Du, Yue Yao, Qi Meng, Huifeng Sun
Summary: A deep learning-based method is proposed to directly correct motion artifacts in non-gated IVPA pullback sequences. The frames are classified into dynamic and static frames, and a neural network called MAC-Net is designed to correct motion in dynamic frames. The trained network can directly correct motion while preserving the original structures without discarding any frames.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Computer Science, Artificial Intelligence
Van Hiep Pham, Van Tu Nguyen, Cao Duong Ly, Jaeyeop Choi, Sumin Park, Sudip Mondal, Tan Hung Vo, Hae Gyun Lim, Junghwan Oh
Summary: This article reports a low-cost fast dual photoacoustic and ultrasound imaging system (F-PAUSM) based on custom-made slider-crank and ball-screw mechanisms. The system allows stable capture of wide scanning ranges and demonstrates potential applications in biomedical imaging.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Chemistry, Physical
Emmanuel Mena-Morcillo, Joshua van der Zalm, Aicheng Chen
Summary: In this study, we combined spatially resolved optical spectroscopy with scanning photoelectrochemical microscopy to investigate the properties of nanostructured BiVO4 thin films. By directly measuring the absorbance, we determined the band gap energy at each location. We also used scanning electrochemical cell microscopy to acquire quantitative photoelectrochemical data at the interface of the FTO/BiVO4 film, revealing higher photocurrents at the boundary regions.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Alexander Pattyn, Yan Yan, Mohammad Mehrmohammadi
Summary: In this study, we applied optical and acoustic compensation PAT (OAcPAT) to minimize the wavelength dependency in spectroscopic PAT (sPAT) and improve the accuracy of sPAT measurements. The results showed significant improvement in measurement errors, especially at larger inclusion depths, which can reach up to 12%. This method has great potential for reliable biomarker quantification in future pre-clinical and clinical applications of PAT.
ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK
(2023)
Article
Chemistry, Multidisciplinary
Fan Yang, Wei Song, Chonglei Zhang, Hui Fang, Changjun Min, Xiaocong Yuan
Summary: The study utilizes the ultra-sensitive phase shift of surface plasmons to improve detection sensitivity to photoacoustic impulses, achieving broadband acoustic response measurement. When applied to an optical-resolution photoacoustic microscope, successful label-free imaging of a zebrafish eye demonstrates the potential of this technology in biomedical applications.
Proceedings Paper
Acoustics
Yixuan Wu, Jeeun Kang, Wojciech G. Lesniak, Martin G. Pomper, Emad M. Boctor
Summary: An iterative algorithm for spectroscopic photoacoustic imaging (SPA) is described, focusing on solving the optical inverse problem using optical prior knowledge and a Monte Carlo simulator. The algorithm sequentially estimates light fluence, solves tissue concentrations in spectral unmixing, and updates optical parameters until converging to the measurement. Validation in simulation showed the algorithm's performance and precision compared to a scenario without fluence compensation.
INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021)
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Bo Li, Ningzhi Li, Ze Wang, Radu Balan, Thomas Ernst
Summary: An improved method for image reconstruction of simultaneous multislice EPI scans of the brain with motion correction was proposed and evaluated. The method includes updating receiver phase and resampling coil sensitivities to correct motion-induced artifacts and improve temporal SNR.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Engineering, Biomedical
Tao Sun, Reinhilde Jacobs, Ruben Pauwels, Elisabeth Tijskens, Roger Fulton, Johan Nuyts
Summary: Patient movement can affect image quality in oral and maxillofacial cone-beam computed tomography imaging. A novel ME/MC method was proposed to improve image quality by estimating and compensating for rigid pose changes over time. Evaluation through simulations, phantom, and patient studies showed promising results with improved image quality and eliminated artifacts. Further assessment is needed to determine the clinical value of this proposed method.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Acoustics
Elena Mercep, Gency Jeng, Stefan Morscher, Pai-Chi Li, Daniel Razansky
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2015)
Article
Acoustics
Che-Chou Shen, Yong-Qi Xing, Gency Jeng
Article
Computer Science, Information Systems
Geng-Shi Jeng, Maria Zontak, Nripesh Parajuli, Allen Lu, Kevinminh Ta, Albert J. Sinusas, James S. Duncan, Matthew O'Donnell
Article
Chemistry, Physical
Yi-Ting Lee, David S. Li, Jan Ilaysky, Ivan Kuzmenko, Geng-Shi Jeng, Matthew O'Donnell, Lilo D. Pozzo
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2019)
Article
Computer Science, Artificial Intelligence
Nripesh Parajuli, Allen Lu, Kevinminh Ta, John Stendahl, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Geng-Shi Jeng, Maria Zontak, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan
MEDICAL IMAGE ANALYSIS
(2019)
Article
Acoustics
MinWoo Kim, Geng-Shi Jeng, Matthew O'Donnell, Ivan Pelivanov
Article
Acoustics
David S. Li, Geng-Shi Jeng, John J. Pitre, MinWoo Kim, Lilo D. Pozzo, Matthew O'Donnell
Article
Computer Science, Interdisciplinary Applications
Allen Lu, Shawn S. Ahn, Kevinminh Ta, Nripesh Parajuli, John C. Stendahl, Zhao Liu, Nabil E. Boutagy, Geng-Shi Jeng, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan
Summary: In this study, the authors proposed a semi-supervised neural network framework with biomechanical constraints for reliable motion estimation and strain analysis using 3D+ time echocardiography (4DE). By incorporating domain adaptation into the regularization framework, the network was able to learn more physiologically plausible displacements. The method was validated on in vivo data and showed potential for identifying infarct regions using estimated strain maps.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Physics, Applied
Zong-Han Hsieh, Ching-Hsiang Fan, Meng-Lin Li, Chih-Kuang Yeh
Summary: This study proposes a method to improve the local light intensity in scattering media by generating transient microbubbles using ultrasound and super hydrophobic polytetrafluoroethylene nanoparticles (PTFE NPs). Results show that only microbubbles of the proper size can effectively increase light propagation.
APPLIED PHYSICS LETTERS
(2022)
Article
Physics, Applied
Geng-Shi Jeng, Chia-Lun Yeh, Chia-Lin Lee, Yung-Shao Yang, Ling-Yi Tseng, Pai-Chi Li
Summary: Shear-wave elasticity imaging (SWEI) is a method used to measure the elastic properties of tissues. It shows potential for application in three-dimensional (3D) cell culture systems, with advantages over existing methods such as atomic force microscopy and shear rheology in terms of contactless operation, higher spatial resolution, and penetration. However, applying clinical SWEI to 3D cell culture systems requires the development of high-frequency SWEI systems and C-scan 3D SWEI that are compatible with the scale of cell culture systems. In this study, a computed tomography (CT) technique for SWEI, called SWCT, was implemented using a scanning scheme similar to first-generation x-ray CT systems. The results demonstrate the feasibility of SWCT for improving elasticity measurements in cell culture systems.
APPLIED PHYSICS LETTERS
(2022)
Article
Acoustics
Geng-Shi Jeng, Yi-An Wang, Ping-Yang Liu, Pai-Chi Li
Summary: This study developed a beamforming-based method for the direct visualization of objects, particularly suitable for objects with arbitrary shapes like guidewires. The results showed that guidewires could be detected at depths of at least 70 mm using this method.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Zachary A. Coutant, Oluwafemi Adelegan, Ali Onder Biliroglu, Geng-Shi Jeng, John J. Pitre, Mitchell A. Kirby, Ivan Pelivanov, Feysel Yalcin Yamaner, Matthew O'Donnell, Omer Oralkan
PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)
(2020)
Article
Computer Science, Interdisciplinary Applications
MinWoo Kim, Geng-Shi Jeng, Ivan Pelivanov, Matthew O'Donnell
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2020)