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Medical Science

Digitizers are playing an increasing role in medical science particularly when fast electronic signals such as those encountered when using ultrasound, lasers and radiation need to be acquired, analyzed and displayed. The ability of digitizers to convert these types of analog signals into digital information which can then be transferred at high-speeds into computers makes them ideal whenever the information needs to be analyzed and quickly presented. Fast medical imaging is being used to improve diagnosis and help detect disease in the fields of radiology, nuclear medicine, ultrasonography, magnetic resonance imaging (MRI), optical coherence tomography (OCT) and photo-acoustic imaging, dosimetry, positron emission tomography (PET) and other related non-invasive inspection methods.

To cover the broad range and diverse nature of the electronic signals found in medical science Spectrum offers a wide range of digitizers and arbitrary waveform generators. The products are available in a variety of popular standards including PCI, PCIe, PXI and LXI. They offer bandwidths from 50 kHz to 1.5 GHz, sampling rates from 100 KS/s to 5 GS/s, and resolution from 8 up to 16 bits. When large dynamic range and maximum sensitivity is required high-resolution 14 and 16 bit digitizers are available for the capture and analysis of signals that go as high as 250 MHz in frequency. These high-resolution products deliver outstanding signal-to-noise ratio's (up to 72 dB) and spurious free dynamic range (of up to 90 dB) so that small signal variations can be detected and analyzed. They are ideal for use with the sensors used in ultrasound and photo-acoustic systems while the high speed, wide bandwidth digitizers are available to capture the fast pulses (down to the nano and sub-nanosecond ranges) often found in nuclear medicine.

The digitizers are also equipped with ultra-fast trigger circuits, complete with trigger time stamping, so that the dead-time between acquisitions can be extremely small (down to as little as 16 ns). Together with large on-board memories (up to 4 GSamples/card) and advanced streaming and readout modes this makes the digitizers suited to applications where long and complex signals need to be captured and analyzed. Data can be stored in the on-board memory or streamed in FIFO mode over the fast PCIe bus of the digitizer to a PC. By streaming data to a RAID based storage array it's even possible to seamlessly store hours of information. To help with data analysis and data reduction Spectrum's M4i series of digitizers also feature on-board FPGA based processing functions that can be perform on-the-fly Averaging and Peak detection routines.

Each digitizer card can have from one to four channels and up to eight cards can be linked together with Spectrum's StarHub system to create instruments with up to 32 fully synchronous channels, making them perfect for applications where multiple sensors and large sensor arrays are deployed.

Spectrum Product Features

  • High Sampling Rates up to 10 GS/s and >1.5 GHz bandwidth
  • 12, 14 and 16 bit Resolution
  • Fast Trigger and Read-Out Rates
  • External Clock and Reference Inputs
  • FPGA based Block Average and Block Statisctics (Peak Detect) Options

Matching Card Families

33xx
Family
A/D family
Sample rate
6.40 GS/s - 10 GS/s
Resolution
12 Bit
44xx
Family
A/D family
Sample rate
130 MS/s - 400 MS/s
Resolution
14 Bit 16 Bit
22xx
Family
A/D family
Sample rate
1.25 GS/s - 5 GS/s
Resolution
8 Bit
66xx
Family
D/A family
Sample rate
625 MS/s - 1.25 GS/s
Resolution
16 Bit

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Application Details

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Cavity ring-down Spectroscopy

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3D Photoacoustic Imaging

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Photoacoustic Imaging (PAI) for Biomedical Applications

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Testing Fibre-Optic Ulstrasound Sensor

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Research Paper

OpUS system combining concurrent Optical Ultrasound and CT Imaging

The University College London, in the United Kingdom, has created a system that allows concurrent Optical Ultrasound and CT Imaging. Using a new free-hand optical ultrasound (OpUS) imaging system the paper linked below discusses the methodology and results. An M4i.4420-x8 250 MS/s, 16-bit digitizer was used to acquire the optical ultrasound signals.

Research Paper

Miniatur Needle Ultrasound Sensot for Optoacoustic Microscopy

At the University of Zurich in Switzerland they have developed a highly sensitive miniature needle ultrasound sensor for optoacoustic microscopy. The optoacoustic signals were acquired using an M4i.4420-x8 250 MS/s, 16-bit Digitizer and the results are discussed in a research paper below.

Research Papers

Photoacoustic Opthalmoscopy and OCT Images

The Nanyang Technological University in Singapore has combined visible light photoacoustic ophthalmoscopy and near-infrared-II optical coherence tomography to make multimodal imaging of the mouse eye. An M4i.4420-x8 250 MS/s, 16-bit Digitizer is used to acquire data for photoacoustic imaging with the results discussed in a white papers below.

Research Papers

Photoacoustic Brain Imaging System

A Mid-infrared photoacoustic brain imaging system that uses cascaded gas2 filled hollow-core fiber lasers and an M4i.4421-x8 250 MS/s, 16-bit, Digitizer has been developed at the Technical University of Denmark. A reference paper discussing the work can be found below

Reference Paper

Brain Neural Interfaces with biodegradable Optical Fibers

At the Technical University of Denmark they are researching biodegradable optical fibers for use as brain neural interfaces. For photoacoustic imaging (PAM) they are using an M4i.4421-x8 250 MS/s, 16-bit, Digitizer to acquire the photoacoustic signals, transferring the collected data to computer for analysis and visualization using the MATLAB suite. A white paper discussing the research and results can be found below

Reference Paper

Real-Time Examination of the Microvascular System

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Reference Paper

4D Ultrasound Image of Brain Hemodynamics

At Erasmus MC in Rotterdam, The Netherlands, they are performing four-dimensional computational ultrasound imaging of brain hemodynamics. To acquire the ultrasound signals an M4i.4450-x8 500 MS/s, 14-bit Digitizer is used. The system design and results are discussed in a research paper below

Research Paper
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