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https://www.iith.ac.in/~raji/Cpapers/LPFB.pdf

Abstract

Open-source hardware is a key element in the development of science. In the field of ultrasound, little has been achieved so far to grant access to research-grade ultrasound tools. We are presenting the development of a flexible, open architecture for a single element ultrasound imaging platform, operating in pulse-echo mode.

The proposed architecture builds on a transmit-receive channel and on a Field Programmable Gate Array (FPGA), which can be interfaced with a computer. It operates with a high voltage excitation, dynamic gain compensation, fast ADC, with onboard storage capacity for raw acquisitions. Proposed downstream communication operates on a single high speed Serial Peripheral Interface (SPI)

A first experiment is realized to image a wire phantom [@check with PU30], on a B-mode imaging basis.

The results show that this development kit can be used by ultrasound imaging researchers, opening ultrasound as well to different uses.

1. Introduction

Generic to ultrasound

Open source ultrasound

Why single element

2. System Description

Objective

State of the art review

Proposed design

The proposed design focuses on simplicity at its core.

Pulser

A MD0100 then ensures the signal can proceed to the Analog Processing block.

Analog processing channel

Said TGC has a gain that is set-up by an 8-bit DAC, covering the full range of the variage gain of the TGC. Gain can be set up by 5 us intervals.

Acquisition

Amplified signal is fed to a XX bit high-speed ADC. Acquisition speed can go up to 64 msps.

ACquisitions are managed by the FPGA and stored in the attached RAM for later offloading by the user. The storage [XX Mbytes] enables the user

E. User interface

The platforms offers control over on-board USB or on-board Raspberry Pi connections, connecting to the FPGA using SPI.

This provides the user with the full control over the parameters of the pulse-echo acquisitions.

3. Experimental results

3.1 B-Mode imaging

First results

Errors using several image reconstruction tools

3.2 Chaotic lens

Conclusion

s

open source toolchain FPGA

compressed sensing

integrated hardware