The Fraunhofer Institute for Biomedical Engineering IBMT in St. Ingbert, Germany released a new iOS app for crunching raw ultrasound data right on the iPhone or iPad. The app will be presented at the MEDICA 2011 conference in Dusseldorf next week.
From the iTunes info page:
Based on measurement data of the IBMT ultrasound research platform “DiPhAS” or other rf data formats the mobile App provides rf signal processing like tissue characterization and other spectral analysis functions.
One source for this rf data is the modular and scalable ultrasound hardware “DiPhAS” with its open interfaces for device control (unique closed-loop) and data acquisition (radio frequent beamformed data or single element data without beamforming).
The iOS App provides the basic operation of the IBMT offline analysis tool for signal analysis, algorithm development and data export.
This App for iOS devices can load radio frequent (rf) measurement data acquired with an ultrasound research beamformer like the Fraunhofer IBMT “DiPhAS” system. Other rf-data formats can also be added to be used with this system if the fileformat is known and available. Data can be transferred using the USB file transfer function of any iOS device that is connected to the PC/Mac using iTunes.
Using this app you can:
-load ultrasound rf raw data from a file list
-use one of the provided sample datasets or download more datasets from the internet
-display a scanconversion of the rf data as image output
-display the A-Scan data (amplitude scan) of single lines in a graph
-select the selected line by touch in the B-Scan display
-select line segments with smaller window sizes for detail A-Scan signal view
-visualize the histogram of the scanconverted image representation
-visualize the spectrum after fourier transformation of the selected windowed A-Scan signal
-export the current image, A-Scan and spectrum visualization to your photo roll
-send the current image, A-Scan and spectrum visualization via email
iTunes download link: Ultrasound Research Offline App by Fraunhofer IBMT…