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The versatility of this technology enables the implementation of new methods and equipment at a minimal cost with no need for hardware upgrades.
Fremont CA: Software-defined radio (SDR) technology is suited for medical imaging applications because of its configuration mobility and high measurement precision.
SDR designs produce crisp image reconstructions with great diagnostic certainty. In addition, using commercial off-the-shelf (COTS) SDR systems reduces the total amount of producing diagnostic solutions while also shortening the time it takes to build them, which benefits both the medical sector and the patient.
The SDR platform is ideal for signal processing, system calibration, multi-radio synchronization, and image restoration in medical imaging equipment. A computer system or an SDR platform are standard components of an imaging setup. The computer is in charge of the system's operation, while the SDR platform often gets utilized for signal processing, communication, and reception. A radio front end, a mixed-signal converter (ADC), a digital-to-analog converter (DAC), and a digital signal processor make up the basic SDR architecture (DSP).
SDR-based systems can operate safely and precisely over a broad bandwidth and frequencies spectrum, making them an ideal platform for ultra-wideband (UWB) wireless technology, gaining traction in medical settings.
So when the operating frequency range of the medical imaging system exceeds 500 MHz, it is classified as UWB. This is because lower frequencies resolve larger patterns and contrast the reconstructed image, while higher frequencies resolve finer structures. It means that the full range of operations is critical in extracting as much data from the imaging as possible to build an effective reconstruction.
MIMO (multiple input, multiple outputs) technologies are helpful in the SDR paradigm to increase the number of devices that could be coexisting in the given space. In addition, numerous receiver/transceiver channels are enabled by this technology, allowing multiple signals to be broadcast and received while limiting channel interference.
The rate at which a specific imaging device acquires samples (quadrature sampling rate or I/Q) significantly impacts its speed. The I/Q sampling rate has an inversely proportional relationship with an imaging system's signal-to-noise ratio (SNR).