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Super-Resolution Imaging Using Pattern Modulation

Interests: Imaging
Lead Inventor: Chien-Min Kao

SUMMARY

University of Chicago researchers have developed a method to enable higher-resolution imaging beyond pixelated detector limits by moving absorption or sensor-sensitivity patterns across a signal and computationally reconstructing images beyond a pixelated detector’s intrinsic resolution. This technology could improve cellular-scale tracer mapping and support more detailed medical imaging across a variety of methods such as PET, SPECT, and CT.

The Unmet Need: Detector resolution limits obscure fine spatial detail in medical imaging

Imaging detectors have intrinsic resolution limits, restricting visibility of small structures and high-frequency image detail. Existing approaches to improving resolution can require costly or technically demanding detector development, while conventional autoradiography may reveal tissue structures without resolving individual cells.

The Proposed Solution: Moving absorption or sensitivity patterns encode sub-resolution details for computational reconstruction

The technology combines a moving physical or simulated interference, absorption, or sensor-sensitivity pattern with relative to a pixelated detector. A mathematical model separates the encoded frequency components to reconstruct detail beyond the detector’s intrinsic resolution. Unlike approaches that improve sampling only up to an instrument’s bandwidth, the method aims to shift otherwise inaccessible spatial information into the measurable range. In an early simulation study, we showed a 1-micron resolution despite using a 24×24 array of 6-micron pixels with a 12-micron intrinsic blur. When applied to PET system that employs 4.2 mm-width detectors, this approach was able to resolve 0.9 mm sources. This technique could be used to enhance autoradiography, PET, SPECT, CT, optical cameras, and lens-less cameras.

 

ADVANTAGES

  • Resolution beyond intrinsic detector limits

  • Computational recovery of high-frequency detail

  • Compatible with existing imaging systems

  • Reduced reliance on finer detector elements

  • Adaptable across imaging modalities

  • Low-cost resolution enhancement

APPLICATIONS

  • Super-resolution PET imaging for brain research
  • Enhanced SPECT imaging of radiotracer distributions
  • PET resolution enhancement using a rotating absorber
  • Optical camera resolution improvement

PUBLICATIONS