Acoustic X®
研究用モデル
高輝度高速パルス駆動LED光源でリアルタイム光音響イメージングを実現
特徴
動画
Acoustic X Webinar
LED-based Photoacoustic Molecular Imaging
Tomographic imaging with an LED-based photoacoustic and ultrasound system
LED-based photoacoustic imaging for detection and staging of inflammatory arthritis
Studies of precision and accuracy in LED-based photoacoustics
Guidance of minimally invasive peripheral vascular access procedures using LED-based photoacoustic imaging
LED-based photoacoustic imaging system for preclinical cancer research Dr. Srivalleesha Mallidi
Photoacoustic Imaging Capabilities of Light-Emitting-Diode (LED) Arrays Dr. Sri-Rajasekhar Kothapalli
主な学術論文
Technical validation studies of a dual-wavelength LED-based photoacoustic and ultrasound imaging system
- James Joseph, Mithun Kuniyil Ajith Singh, Naoto Sato, and Sarah Bohndiek
- Summary
- Technical and biological validation studies of LED-based photoacoustic and ultrasound imaging system (AcousticX)
- Demonstrated that the dual-wavelength imaging capability of the AcousticX system offers excellent repeatability, reproducibility, and precision in phantoms
- Small animal imaging studies demonstrated the potential of AcousticX in mapping real-time changes in blood oxygen saturation levels and uptake of exogenous contrast agents
- This work gives a direct confirmation that AcousticX could be a promising alternative for bulky and expensive laser-based photoacoustic imaging systems in functional and molecular imaging applications
LED-based photoacoustic imaging: From bench to bedside
- Mithun Kuniyil Ajith Singh (Editor)
- Summary
- First book on LED-based photoacoustic imaging
- Covers fundamentals, principles, instrumentation, reconstruction, and data/image processing methods
- Discusses the preclinical and clinical applications of LED-based photoacoustic imaging
- Includes contributions from industry and academia alike
- Highlights the opportunities and challenges of clinical translation from an industry perspective
Towards Clinical Translation of LED-Based Photoacoustic Imaging: A Review
- Yunhao Zhu, Ting Feng, Qian Cheng, Xueding Wang, Sidan Du, Naoto Sato, Jie Yuan, and Mithun Kuniyil Ajith Singh
- Summary
- First scientific review on LED-based photoacoustic imaging
- Thorough discussion about the development of technology, in a historical perspective
- Extensively reviewed the range of works from the first report on using LEDs for photoacoustic imaging to latest developments in the field
- Comparison of different illumination sources used in photoacoustic imaging (lasers, laser diodes and LEDs) in terms of cost, portability, and imaging specifications
- Summarized all the preclinical and clinical applications of LED-based photoacoustic imaging reported until early 2020
Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study
- Junggun Jo, Guan Xu, Yunhao Zhu, Mary Burton, Jeffrey Sarazin, Elena Schiopu, Girish Gandikota, and Xueding Wang
- Summary
- First clinical pilot study demonstrating the potential of LED-based photoacoustic imaging in inflammatory arthritis
- LED-photoacoustic images from 12 joints with clinically active arthritis, five joints with subclinically active arthritis, and 12 normal joints were compared with US doppler
- LED-photoacoustic imaging offered higher sensitivity than US doppler (gold standard) in detecting angiogenic microvasculature
- Clear demonstration that LED-based photoacoustic imaging is potentially an excellent portable imaging modality for inflammatory arthritis detection and treatment monitoring
Molecular imaging of oxidative stress using an LED-based photoacoustic imaging system
- Ali Hariri, Eric Zhao, Ananthakrishna Soundaram Jeevarathinam, Jeanne Lemaster, Jianjian Zhang, and Jesse V. Jokerst
- Summary
- Reported a method to realize tomographic ultrasound and photoacoustic imaging using an LED-based photoacoustic and ultrasound system
- Multiple illumination configurations suitable for human finger and animal brain imaging are explored thoroughly
- High resolution LED-based photoacoustic and ultrasound images of human finger and animal joints were obtained, demonstrating potential of the method in inflammatory arthritis diagnosis and treatment monitoring in a resource-limited preclinical and clinical setting
- Proposed method can find a wide range of clinical applications, especially in a point-of-care setting, where inexpensive and compact equipment is a requirement
Tomographic imaging with an ultrasound and LED-based photoacoustic system
- Kalloor Joseph Francis, Yoeri E. Boink, Maura Dantuma, Mithun Kuniyil Ajith Singh, Srirang Manohar, and Wiendelt Steenbergen
- Summary
- Reported a method to realize tomographic ultrasound and photoacoustic imaging using an LED-based photoacoustic and ultrasound system
- Multiple illumination configurations suitable for human finger and animal brain imaging are explored thoroughly
- High resolution LED-based photoacoustic and ultrasound images of human finger and animal joints were obtained, demonstrating potential of the method in inflammatory arthritis diagnosis and treatment monitoring in a resource-limited preclinical and clinical setting
- Proposed method can find a wide range of clinical applications, especially in a point-of-care setting, where inexpensive and compact equipment is a requirement
Handheld Real-Time LED-Based Photoacoustic and Ultrasound Imaging System for Accurate Visualization of Clinical Metal Needles and Superficial Vasculature to Guide Minimally Invasive Procedures
- Wenfeng Xia, Mithun Kuniyil Ajith Singh, Efthymios Maneas, Naoto Sato, Yusuke Shigeta, Toshitaka Agano, Sebastian Ourselin, Simeon J. West, and Adrien E. Desjardins
- Summary
- First study demonstrating the potential of LED-based photoacoustic imaging in guiding minimally invasive procedures with peripheral vascular targets
- LED-based PA imaging offered higher contrast in visualizing clinical needle shaft and tip, when compared to ultrasound imaging, the gold standard
- Using phantom and in vivo human volunteer experiments, authors showed that combined LED-based PA and US imaging holds potential in minimally invasive surgical guidance
- Demonstrated the potential of portable LED-based system in a resource limited clinical setting for guiding procedures involving metallic clinical needles
Diagnosis and Treatment Monitoring of Port-Wine Stain Using LED-Based Photoacoustics: Theoretical Aspects and First In-Human Clinical Pilot Study
- Qian Cheng, Menglu Qian, Xiuli Wang, Haonan Zhang, Peiru Wang, Long Wen, Jing Pan, Ya Gao, Shiying Wu, Mengjiao Zhang, Yingna Chen, Naoto Sato, and Xueding Wang
- Summary
- First clinical pilot study demonstrating the potential of LED-based photoacoustic imaging in diagnosis and treatment monitoring of port wine stain
- Thorough coverage of both the theoretical and clinical experimental aspects
- 22 patients were included in the study and the capability of LED-based PA imaging was compared with gold standard techniques like dermoscopy
- New LED-photoacoustic based index was developed which can be used as a guiding tool for port wine stain detection and PDT-based treatment monitoring
- Clearly demonstrated that LED-based photoacoustics can be a valuable tool for early diagnosis and photodynamic therapy monitoring in port wine stain disease
AcousticXに関する査読論文
- J. Joseph, M. Kuniyil Ajith Singh, N. Sato et al; “Technical validation studies of a dual-wavelength LED-based photoacoustic and ultrasound imaging system,” Photoacoustics, Volume 22, 100267 (2021).
- S. Agrawal, M. Kuniyil Ajith Singh, Johnstonbaugh et al; “Photoacoustic Imaging of Human Vasculature Using LED versus Laser Illumination: A Comparison Study on Tissue Phantoms and In Vivo Humans,” Sensors 21 (2), 424 (2021).
- R. Bulsink, M. Kuniyil Ajith Singh, M. Xavierselvan et al; “Oxygen Saturation Imaging Using LED-Based Photoacoustic System,” Sensors 21 (1), 283 (2021).
- H. Zhang, G. Zhang, Y. Zhang et al; “Quantitatively assessing port-wine stains using a photoacoustic imaging (PAI) method: a pilot study,” Journal of the American Academy of Dermatology, ISSN 0190-9622 (2021).
- J. Jo, G. Xu, E. Schiopu et al; “ Imaging of enthesitis by an LED-based photoacoustic system,” Journal of Biomedical Optics, 25(12), 126005 (2020).
- A. Hariri, C. Moore, YA. Mantri et al; “Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization,” Sensors 20(2), 5848 (2020).
- M. Xavierselvan, M. Kuniyil Ajith Singh, and S. Mallidi; “In Vivo Tumor Vascular Imaging with Light Emitting Diode-Based Photoacoustic Imaging System,” Sensors 20(16), 4503 (2020).
- M. Kuriakose, C.D. Nguyen, M. Kuniyil Ajith Singh et al; “Optimizing Irradiation Geometry in LED-Based Photoacoustic Imaging with 3D Printed Flexible and Modular Light Delivery System,” Sensors 20 (13), 3789 (2020).
- Y. Zhu, T. Feng, Q. Cheng et al; “Towards Clinical Translation of LED-Based Photoacoustic Imaging: A Review,” Sensors 20 (9), 2484 (2020).
- A. Hariri, K. Alipour, Y. Mantri et al; “Deep learning improves contrast in low-fluence photoacoustic imaging,” Biomedical Optics Express 11 (6), 3360-3373 (2020).
- F. Kalloor Joseph, R. Booijink, R. Bansal et al; “Tomographic Ultrasound and LED-Based Photoacoustic System for Preclinical Imaging,” Sensors 20 (10), 2793 (2020).
- P. Farnia, E. Najafzadeh, A. Hariri et al, “Dictionary learning technique enhances signal in LED-based photoacoustic imaging,” Biomedical Optics Express 11 (5), 2533-2547 (2020).
- F. Kalloor Joseph, Y.E. Boink, M. Dantuma et al; “ Tomographic imaging with an ultrasound and LED-based photoacoustic system,” Biomedical Optics Express 11 (4), 2152-2165 (2020).
- S. Agrawal, C. FaddeN, A. Dang et al; “Light-Emitting-Diode-Based Multispectral Photoacoustic Computed Tomography System,” Sensors, 19(22), p.4861 (2019).
- E. Maneas, R. Aughwane, N. Huynh et al; ” Photoacoustic imaging of the human placental vasculature,” Journal of Biophotonics, e201900167 (2019).
- A. Hariri, E. Zhao, A.S. Jeevarathinam et al, “Molecular imaging of oxidative stress using an LED- based photoacoustic imaging system,” Scientific Reports,9, 11378 (2019).
- A. Hariri, F. Chen, C. Moore, C et al; “Noninvasive staging of pressure ulcers using photoacoustic imaging,” Wound Rep Reg, 27: 488-496 (2019).
- Y. Zhu, X. Lu, X. Dong et al; “LED-Based Photoacoustic Imaging for Monitoring Angiogenesis in Fibrin Scaffolds,” Tissue Engineering Part C: Methods, 25:9, 523-531 (2019).
- S.R. Miri Rostami, M. Mozaffarzadeh, M. Ghaffari-Miab et al; “GPU-accelerated Double-stage Delay-multiply-and-sum Algorithm for Fast Photoacoustic Tomography Using LED Excitation and Linear Arrays,” Ultrasonic Imaging, 41(5), 301–316 (2019).
- E.M.A. Anas, H.K. Zhang, J. Kang et al; “Enabling fast and high quality LED photoacoustic imaging: a recurrent neural networks based approach,” Biomedical Optics Express, 9, 3852-3866 (2018).
- M. Mozaffarzadeh, A. Hariri, C. Moore et al; “The double-stage delay-multiply-and-sum image reconstruction method improves imaging quality in a LED-based photoacoustic array scanner,” Photoacoustics, 12, 22-29 (2018).
- T. Agano, M. Kuniyil Ajith Singh, R. Nagaoka et al; “Effect of light pulse width on frequency characteristics of photoacoustic signal –an experimental study using a pulse-width tunable LED- based photoacoustic imaging system,” International Journal of Engineering and Technology, 7(4), 4300-4303 (2018).
- J. Jo, G. Xu, Y. Zhu et al; “Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study,” Journal of Biomedical Optics, 23(11), 110501 (2018).
- Y. Zhu, G. Xu, J. Yuan et al, “Light Emitting Diodes based Photoacoustic Imaging and Potential Clinical Applications,” Scientific Reports, 8, 9885 (2018).
- W. Xia, M. Kuniyil Ajith Singh, E. Maneas et al; “Handheld Real-Time LED-Based Photoacoustic and Ultrasound Imaging System for Accurate Visualization of Clinical Metal Needles and Superficial Vasculature to Guide Minimally Invasive Procedures,” Sensors, 18(5), 1394 (2018).
- A. Hariri, J. Lemaster, J. Wang et al., “The characterization of an economic and portable LED-based photoacoustic imaging system to facilitate molecular imaging,” Photoacoustics, 9, 10-20 (2018).
AcousticXユーザーおよび研究協力者
| Country | Name | Position | Department/Research Group | Institute |
|---|---|---|---|---|
| USA | Prof. Xueding Wang | Professor, Group Leader | Optical Imaging Laboratory | Michigan University |
| USA | Dr. Jesse Jokerst | Assistant Professor, Group Leader | Jokerst Bioimaging Lab | UC San Diego |
| USA | Dr. Srivalleesha Mallidi | Assistant Professor, Group Leade | Integrated Biofunctional Imaging and Therapeutics Laboratory/ Wellman Center of Photomedicine | Tufts University/Harvard Medical School |
| USA | Dr. Sri-Rajasekhar Kothapalli | Assistant Professor, Group Leader | Biophotonics and Ultrasound Imaging Laboratory | Pennsylvania State University |
| USA | Dr. Kathyayini Sivasubramanian | Post-Doctoral Fellow | Laboratory of Artificial Intelligence in Medicine and Biomedical Physics | Stanford School of Medicine |
| GBR | Prof. Adrien Desjardins | Professor, Group Leader | Interventional Devices Lab/Department of Medical Physics and Biomedical Engineering | University College London |
| GBR | Dr. Sarah Bohndiek | Professor, Junior Group Leader | VISION Lab, Department of Physics, Cavendish Laboratory | Cancer Research UK Cambridge Institute |
| GBR | Dr. Wenfeng Xia | Assistant Professor | Department of Surgical & Intervention Engineering | Kings College London |
| NLD | Prof. Wiendelt Steenbergen | Professor, Group Leader, Vice Dean – Research (TNW) | Biomedical Photonic Imaging Group | University of Twente, the Netherlands |
| DEU | Prof. Alexander Kuehne | Professor, Group Leader | Institute of Macromolecular and Organic Chemistry | Ulm University |
| ITA | Prof. Filippo Molinari | Professor, Group Leader | Biolab – Department of Electronics and Telecommunications | Politecnico di Torino |
| CHN | Prof. Qian Cheng | Professor, Group Leader | Institute of Acoustics, School of Physics Scienece and Engineering | Tongji University |
| CHN | Prof. Terence T. W. Wong | Assistant Professor | Department of Chemical and Biological Engineering | Hong Kong University of Science and Technology |
| JPN | Prof. Yoshifumi Saijo | Professor | Graduate School of Biomedical Engineering | Tohoku University |
| JPN | Prof. Ryo Suzuki | Professor | Laboratory of Drug and Gene Delivery System | Teikyo University |
| JPN | Prof. Yoichi Negishi | Professor | Department of Drug Delivery and Molecular Biopharmaceutics | Tokyo University of Pharmacy and Life Science |
| JPN | Dr. Yusuke Tajima | Senior Research Scientist | RIKEN Center for Advanced Photonics, Ultrahigh Precision Optics Technology Team | RIKEN (The Institute of Physical and Chemical Research) |
| JPN | Prof. Tetsuji Uemura | Medical Professor | University Hospital, Plastic and Reconstructive Surgery | Saga Medical School, Faculty of Medicine, Saga University |
主な仕様
| 最大視野深度 | 40mm |
|---|---|
| 光源 | High Density High Power LED 波長は下記から選択可 690, 750, 820, 850, 940nm, Combination: 690/850, 750/850, 820/940nm 周波数:1, 2, 3, 4kHzから選択可 パルス幅:30nsから150nsで選択可 |
| 光源接続ポート | 4 |
| プローブ | 7MHzまたは10MHzリニアプローブ |
| 光音響受信チャンネル | 128ch 同時受信 |
| スキャンモード | Photoacoustic 2D, Ultrasound 2D |
| 外部トリガー出力 | パルスレーザー用 |
| 電源電圧 | AC 100 V – 240 V |
| モニター | カラーLCD |
| ソフトウェアオプション | 3Dイメージングパッケージ(自動ステージ制御)、酸素化度解析パッケージ、 High Speed光音響イメージングパッケージ、Raw Data 出力 |
| 使用環境 | 保護メガネ不要 レーザークラス指定不要 |
| * | 上記の数値は、設定やオプション等により変動します。 |
|---|
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