Programmable Ultrasound Phased Array Therapy System

Author(s):  
Yiying I. Zhu ◽  
Timothy L. Hall ◽  
Oliver D. Kripfgans

There has been an emerging interest in high intensity focused ultrasound (HIFU) for therapeutic applications. By means of its thermal or mechanical effects, HIFU is able to serve as a direct tool for tissue ablation, or an indirect moderating medium to manipulate microbubbles or perform heating (hyperthermia) for the purpose of targeted drug delivery. The development and testing of HIFU based phased arrays is favorable as their elements allow for individual phasing to steer and focus the beam. While FDA has already approved tissue ablation by HIFU for the treatment of uterine fibroids (2004) and pain from bone metastases (2012), development continues on other possible applications that are less forgiving of incomplete treatment, such as thermal necrosis of malignant masses. Ideally, each element, of such an array must have its own fully programmable electrical driving channel, which allows the control of delay, phase, and amplitude of the output from each element. To enable full control, each channel needs a waveform generator, an amplification device, and an impedance matching circuit between driver and acoustic element. Similar projects utilizing this approach to drive therapeutic arrays include a 512-channel therapy system which was built at the University of Michigan using low cost Field-Programmable Gate Arrays (FPGA) microcontroller and highly efficient MOSFET switching amplifiers [1]. However, this system lacks the ability to drive both, continuous wave (CW) and transient short duty-cycle high power pulses. This paper presents a hybrid system, which is able to perform CW and transient short duty-cycle high power excitation. In the following we will describe the design, programming, fabrication, and evaluation of this radiofrequency (RF) driver system as used in our laboratory for a 1.5 MHz center frequency, 298-element array (Imasonic SA, Besancon, France) [2], FPGA-controlled amplifier boards and matching circuitry. Advantages of our design include: 1. Inexpensive components (<$15/channel); 2. Ability to program/drive individual output channels independently; 3. Sufficient time and amplitude resolution for various acoustic pattern design; 4. Capability of hybrid switching between low power CW and short duty cycle, high instantaneous power.

2020 ◽  
Vol 6 (3) ◽  
pp. 123-126
Author(s):  
Michael Unger ◽  
Johann Berger ◽  
Bjoern Gerold ◽  
Andreas Melzer

AbstractHigh intensity focused ultrasound is used as a surgical tool to treat completely non-invasively several diseases. Examples of clinical applications are uterine fibroids, prostate cancer, thyroid nodules, and varicose veins. Precise targeting is key for improving the treatment outcome. A method for an automated, robot-assisted tracking system was developed and evaluated. A wireless ultrasound scanner was used to acquire images of the target, in this case, a blood vessel. The active contour approach by Chan and Vese was used to segment and track while moving the scanner along the target structure with a collaborative robotic arm. The performance was assessed using a custom made Agar phantom. The mean tracking error, which is defined as the remaining distance of the lesion to the images’ centre line, was 0.27 mm ± 0.18 mm.


Author(s):  
Ryo Takagi ◽  
Toshikatsu Washio ◽  
Yoshihiko Koseki

Abstract Purpose In this study, the robustness and feasibility of a noise elimination method using continuous wave response of therapeutic ultrasound signals were investigated when tissue samples were moved to simulate the respiration-induced movements of the different organs during actual high-intensity focused ultrasound (HIFU) treatment. In addition to that, the failure conditions of the proposed algorithm were also investigated. Methods The proposed method was applied to cases where tissue samples were moved along both the lateral and axial directions of the HIFU transducer to simulate respiration-induced motions during HIFU treatment, and the noise reduction level was investigated. In this experiment, the speed of movement was increased from 10 to 40 mm/s to simulate the actual movement of the tissue during HIFU exposure, with the intensity and driving frequency of HIFU set to 1.0–5.0 kW/cm2 and 1.67 MHz, respectively. To investigate the failure conditions of the proposed algorithm, the proposed method was applied with the HIFU focus located at the boundary between the phantom and water to easily cause cavitation bubbles. The intensity of HIFU was set to 10 kW/cm2. Results Almost all HIFU noise was constantly able to be eliminated using the proposed method when the phantom was moved along the lateral and axial directions during HIFU exposure. The noise reduction level (PRL in this study) at an intensity of 1.0, 3.0, and 5.0 kW/cm2 was in the range of 28–32, 38–40, and 42–45 dB, respectively. On the other hand, HIFU noise was not basically eliminated during HIFU exposure after applying the proposed method in the case of cavitation generation at the HIFU focus. Conclusions The proposed method can be applicable even if homogeneous tissues or organs move axially or laterally to the direction of HIFU exposure because of breathing. A condition under which the proposed algorithm failed was when instantaneous tissue changes such as cavitation bubble generation occurred in the tissue, at which time the reflected continuous wave response became less steady.


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