A Bi-Frequency Co-Linear Array Transducer for Biomedical Ultrasound Imaging

2014 ◽  
Author(s):  
Zhuochen Wang ◽  
Sibo Li ◽  
Ruibin Liu ◽  
Xuecang Geng ◽  
Xiaoning Jiang
Keyword(s):  
Real Time ◽  
Ultrasound Imaging ◽  
Linear Array ◽  
Low Cost ◽  
Large Field ◽  
Depth Of Field ◽  
Frequency Range ◽  
Non Invasive ◽  
Array Transducer ◽  
Conventional Ultrasound

Ultrasound imaging with high resolution and large field of depth has been increasingly adopted in medical diagnosis, surgery guidance and treatment assessment because of its relatively low cost, non-invasive and capability of real-time imaging. There is always a tradeoff between the resolution and depth of field in ultrasound imaging. Conventional ultrasound works at a particular frequency, with −6 dB fractional bandwidth of < 100%, limiting the resolution or field of depth in many ultrasound imaging cases. In this paper, a bi-frequency co-linear array covering a frequency range of 5 MHz-20 MHz was investigated to meet the requirements of resolution and depth of field for a broad range of ultrasound imaging applications. As a demonstration, a 31-element bi-frequency co-linear array was designed and fabricated, followed by element characterization and real time sectorial scan (S-scan) phantom imaging using a Verasonics system.

scholarly journals Real Time Monitoring of Children, and Adults with Mental Disabilities Using a Low-Cost Non-Invasive Electronic Device

Micromachines ◽  
2017 ◽  
Vol 8 (10) ◽  
pp. 292
Author(s):  
Carlos Polanco ◽  
Ignacio Vazquez ◽  
Adrian Martinez-Rivas ◽  
Miguel Arias-Estrada ◽  
Thomas Buhse ◽  
...  
Keyword(s):  
Real Time ◽  
Electronic Device ◽  
Low Cost ◽  
Mental Disabilities ◽  
Real Time Monitoring ◽  
Non Invasive

scholarly journals A Low-Cost Intelligent Hardware System for Real-Time Infant Cry Detection and Classification

2019 ◽  
Vol 8 (12S2) ◽  
pp. 18-22
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Minimum Level ◽  
K Nearest Neighbors ◽  
Acoustic Characteristics ◽  
Infant Cry ◽  
Psychological States ◽  
Non Invasive ◽  
Use Of Time ◽  
Hardware System

Cry of an infant serves as the main communication language to seek the attention of their caretakers. Acoustic characteristics of cries provide insights into the physiological and psychological states of the infants. To understand the reason behind the cries, caretakers pay attention to acoustic characteristics like tone, pitch, and loudness, etc. Infant cry classification has gained importance in both commercial and medical fields due to its applications such as baby monitoring and non-invasive diagnosis of health conditions of newborns in early stages. This paper discusses the implementation of a lowcost hardware device for real-time cry classification. Further, this presents the use of time and frequency domain features to detect cry words and identify the reasons. The proposed solution covers the use of classification techniques like artificial neural networks and k nearest neighbors to gain accuracy figures over 90% and 70% for cry detection and classification respectively while maintaining the resource utilization at a minimum level to keep hardware solution simple and low cost.

scholarly journals Towards clinical photoacoustic and ultrasound imaging: Probe improvement and real-time graphical user interface

2020 ◽  
Vol 245 (4) ◽  
pp. 321-329 ◽  
Author(s):  
Jeesu Kim ◽  
Eun-Yeong Park ◽  
Byullee Park ◽  
Wonseok Choi ◽  
Ki J Lee ◽  
...  
Keyword(s):  
User Interface ◽  
Real Time ◽  
Ultrasound Imaging ◽  
Graphical User Interface ◽  
Imaging System ◽  
Photoacoustic Imaging ◽  
Clinical Applications ◽  
Imaging Systems ◽  
Imaging Probe ◽  
Conventional Ultrasound

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.

Non-invasive detection and discrimination of breast tumors at early stage using spiral antenna

Frequenz ◽  
2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Rukmani Singh ◽  
Vishnu Priye
Keyword(s):  
Early Stage ◽  
Low Cost ◽  
Breast Tumors ◽  
Tumor Location ◽  
Petroleum Jelly ◽  
Frequency Range ◽  
Spiral Antenna ◽  
Archimedean Spiral ◽  
Non Invasive ◽  
Full Wave

AbstractIn this paper, an Archimedean spiral antenna-based biosensor has been proposed for the early detection of breast tumor. By monitoring the variation of S11 over 1–3.5 GHz frequency range, the proposed scheme can identify the tumor location, as well as distinguish the types of tumor (benign or malignant) based on shapes and dielectric properties contrast. To validate the concept, full wave simulation using CST microwave suite are performed along with VNA based experimental measurements on breast phantoms and tumors, prepared by easily available materials like glass, petroleum jelly, mixture of water and wheat flour. The demonstrated device is able to detect the tumor of less than 1 mm in radius and positioned anywhere in 5 × 5 × 5 cm of breast fat. The proposed method is easy to use, low cost, safe, comfortable, non-invasive and non- ionizing in nature.

scholarly journals Preliminary work of real-time ultrasound imaging system for 2-D array transducer

2015 ◽  
Vol 26 (s1) ◽  
pp. S1579-S1585 ◽  
Author(s):  
Xu Li ◽  
Jiali Yang ◽  
Mingyue Ding ◽  
Ming Yuchi
Keyword(s):  
Real Time ◽  
Ultrasound Imaging ◽  
Imaging System ◽  
Preliminary Work ◽  
Array Transducer
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