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Updated: May 9, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Pulse-modulation imaging-review and performance analysis.

D G Chen, D Matolin, A Bermak

    IEEE Transactions on Biomedical Circuits and Systems
    |July 16, 2013
    PubMed
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    Pulse-modulation (PM) imaging encodes image data using pulse timing, not charge. This approach enhances dynamic range and signal-to-noise ratio for advanced machine vision and biomedical applications.

    Area of Science:

    • Optoelectronics and Imaging Technology
    • Biomedical Engineering
    • Computer Vision

    Background:

    • Conventional image sensors rely on charge, voltage, or current for image data, limiting dynamic range and integration time.
    • Pulse-modulation (PM) imaging encodes visual information using the timing of pulses or pulse edges.
    • This pixel-level phototransduction optimization bypasses fixed integration times, offering significant advantages.

    Purpose of the Study:

    • To review and classify common pulse-modulation (PM) image sensor architectures.
    • To propose analytical models and a universal figure of merit for assessing PM imagers.
    • To survey the applications of PM imaging in emerging fields.

    Main Methods:

    • Review and classification of PM image sensor architectures.

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  • Development of analytical models for performance assessment.
  • Proposal of a figure of merit: image quality and dynamic range to energy complexity factor.
  • Main Results:

    • PM imaging offers exceptionally high dynamic range (DR) and improved signal-to-noise ratio (SNR).
    • PM imaging provides immunity to supply-voltage scaling and supports pixel-parallel analog-to-digital conversion.
    • Demonstrated effectiveness in low-power, high-performance machine vision and biomedical applications.

    Conclusions:

    • PM imaging enables high temporal resolution and asynchronous event-based readout.
    • Emerging applications include sensor networks, wireless endoscopy, retinal prostheses, and polarization imaging.
    • Design innovations in PM imaging are expected to drive broader impacts beyond image sensors.