Ultrasound Imaging of Upper Extremity Arteries: Clinical Applications

Author(s):  
Sergio X. Salles-Cunha
2020 ◽  
Vol 245 (4) ◽  
pp. 321-329 ◽  
Author(s):  
Jeesu Kim ◽  
Eun-Yeong Park ◽  
Byullee Park ◽  
Wonseok Choi ◽  
Ki J Lee ◽  
...  

Photoacoustic imaging is a non-invasive and non-ionizing biomedical technique that has been investigated widely for various clinical applications. By taking the advantages of conventional ultrasound imaging, hand-held operation with a linear array transducer should be favorable for successful clinical translation of photoacoustic imaging. In this paper, we present new key updates contributed to the previously developed real-time clinical photoacoustic and ultrasound imaging system for improving the clinical usability of the system. We developed a seamless image optimization platform, designed a real-time parameter control software with a user-friendly graphical user interface, performed Monte Carlo simulation of the optical fluence in the imaging plane, and optimized the geometry of the imaging probe. The updated system allows optimizing of all imaging parameters while continuously acquiring the photoacoustic and ultrasound images in real-time. The updated system has great potential to be used in a variety of clinical applications such as assessing the malignancy of thyroid cancer, breast cancer, and melanoma. Impact statement Photoacoustic imaging is a promising biomedical imaging modality that can visualize both structural and functional information of biological tissue. Because of its easiness to be integrated with conventional ultrasound imaging systems, numerous studies have been conducted to develop and apply clinical photoacoustic imaging systems. However, most of the systems were not suitable for general-purpose clinical applications due to one of the following reasons: target specific design, immobility, inaccessible operation sequence, and lack of hand-held operation. This study demonstrates a real-time clinical photoacoustic and ultrasound imaging system, which can overcome the limitations of the previous systems for successful clinical translation.


2015 ◽  
Vol 69 (Supplement_1) ◽  
pp. 6911500007p1
Author(s):  
Ickpyo Hong ◽  
Chih-Ying (Cynthia) Li ◽  
Craig A. Velozo

2013 ◽  
Vol 201 (4) ◽  
pp. 753-763 ◽  
Author(s):  
Ugur Bozlar ◽  
Torel Ogur ◽  
Minhaj S. Khaja ◽  
Jaime All ◽  
Patrick T. Norton ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5487
Author(s):  
Xin Zhang ◽  
Ryan D’Arcy ◽  
Long Chen ◽  
Minpeng Xu ◽  
Dong Ming ◽  
...  

Motor function assessment is crucial in quantifying motor recovery following stroke. In the rehabilitation field, motor function is usually assessed using questionnaire-based assessments, which are not completely objective and require prior training for the examiners. Some research groups have reported that electroencephalography (EEG) data have the potential to be a good indicator of motor function. However, those motor function scores based on EEG data were not evaluated in a longitudinal paradigm. The ability of the motor function scores from EEG data to track the motor function changes in long-term clinical applications is still unclear. In order to investigate the feasibility of using EEG to score motor function in a longitudinal paradigm, a convolutional neural network (CNN) EEG model and a residual neural network (ResNet) EEG model were previously generated to translate EEG data into motor function scores. To validate applications in monitoring rehabilitation following stroke, the pre-established models were evaluated using an initial small sample of individuals in an active 14-week rehabilitation program. Longitudinal performances of CNN and ResNet were evaluated through comparison with standard Fugl–Meyer Assessment (FMA) scores of upper extremity collected in the assessment sessions. The results showed good accuracy and robustness with both proposed networks (average difference: 1.22 points for CNN, 1.03 points for ResNet), providing preliminary evidence for the proposed method in objective evaluation of motor function of upper extremity in long-term clinical applications.


Microsurgery ◽  
2007 ◽  
Vol 27 (5) ◽  
pp. 420-424 ◽  
Author(s):  
Ayhan Meltem ◽  
Gorgu Metin ◽  
Aytug Zeynep ◽  
Melikoglu Cenk ◽  
Ulusal Gozel Betul

1989 ◽  
pp. 117-125 ◽  
Author(s):  
Paul G. Yock ◽  
David T. Linker ◽  
Neal W. White ◽  
Michael H. Rowe ◽  
Matthew R. Selmon ◽  
...  

2012 ◽  
Vol 65 (3) ◽  
pp. 260 ◽  
Author(s):  
Vladislav V. Yakovlev ◽  
Georgi I. Petrov ◽  
Hao F. Zhang ◽  
Gary D. Noojin ◽  
Patrick A. Thomas ◽  
...  

A powerful combination of chemically specific Raman excitation and deep tissue ultrasound imaging holds the promise to attain spatially resolved distribution of chemical compounds inside the scattering medium. In this report, an attempt is made to evaluate the recent achievements and possible challenges with an eye on potential clinical applications.


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