ArtUs RF Data Control
Standalone C++ application for real-time B + RF acquisition and recording.
Ultrasound for Research · RF data
Beamformed RF data for ultrasound research
Most commercial ultrasound systems are closed and give researchers no access to raw RF signals — yet these signals carry valuable information about how acoustic waves interact with tissue. TELEMED research tools give biomedical engineers real-time access to beamformed RF data in C++, MATLAB, Python and LabVIEW.
Works with (option for EXT-1H/CEXT-1H scanners)
4 environments
C++, MATLAB, Python, LabVIEW
B + RF
Two streams in real time
Record & review
RF data files with acquisition parameters
Source code
Scripts and manuals included
What RF data makes possible
Access to raw RF signals opens new directions for both engineering research and clinical practice.
Engineering
- Novel quantitative ultrasound methods for tissue characterisation
- Investigation of the acoustic properties of tissue and tissue-mimicking materials
- New parametric imaging techniques
- Advanced image processing algorithms for speckle reduction and image enhancement
Clinical practice
- New biomarkers to recognise, characterise and differentiate lesions and to assess treatment, e.g. thermal ablation efficiency or sonoporation
- In-vitro studies of tissue, e.g. biopsy samples
- New sources of contrast for imaging tumours, tissue fibrosis, atherosclerotic plaques and more
- Higher-quality diagnostic images for visual expert evaluation
The research package
Graphical tools to acquire RF data in real time, record it to file and review it offline — plus scripts that demonstrate the conventional signal processing steps of B-mode image formation. Click any screenshot to see it full size.
Real-time acquisition — RF Data Control
View B-mode and RF streams in real time, set scanning parameters, define a region of interest and record RF data to disk.
ArtUs RF Data Control
The same real-time acquisition and recording, directly inside MATLAB.
ArtUs RF Data Control
Real-time acquisition and recording in a Python application.
ArtUs RF Data Control
Real-time acquisition and recording in a LabVIEW application.
Offline review
Load recorded RF data files together with the main acquisition parameters.
RF Data tool
Import recorded RF data and acquisition parameters into MATLAB for review.
RF Viewer
Load and view recorded RF data in Python.
Signal processing
See how each processing step shapes the final B-mode image.
Filters Analysis
Design filters in a GUI and see how filtering the RF signals changes the B-mode image.
Dynamic Range control
Adjust the dynamic range reduction curve and observe its effect on the image.
Postprocessing control
Filter speckle noise and compare the results.
Get the research tools
Tools, MATLAB and Python scripts, source code and manuals are available for download.