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Parameterized computational imaging: Data driven computational modeling for image extension.

Daniel J Evans¹, Mark L Manwaring, Terence Soule

¹University of Idaho, USA. photonthunder@gmail.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

This summary is machine-generated.

Parameterized Computational Imaging (PCI) offers portable, remote physiological imaging by replacing complex equipment with computing power. This method uses computational models and swarm optimization to accurately locate objects from sensor measurements.

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Area of Science:

Medical imaging
Computational modeling
Biophysics

Background:

Traditional imaging systems are often complex, costly, and lack portability.
There is a need for continuous, remote physiological monitoring solutions.
Parameterized Computational Imaging (PCI) offers an alternative approach.

Purpose of the Study:

To introduce and demonstrate the Parameterized Computational Imaging (PCI) algorithm.
To showcase PCI's capability for portable and remote physiological imaging.
To validate the PCI algorithm's accuracy in locating objects.

Main Methods:

PCI utilizes a baseline image and computational models to derive measurable physiological parameters.
The algorithm iteratively refines computationally predicted parameters to match measured values.
Swarm optimization routines are employed to expedite the parameter-finding process.

Main Results:

The PCI algorithm successfully located a circular object within a gelatin model.
The algorithm accurately determined object location using only four voltage measurements.
Demonstrated the feasibility of PCI for non-invasive object detection.

Conclusions:

Parameterized Computational Imaging (PCI) provides a viable alternative to complex imaging systems.
PCI enables continuous, portable, and remote physiological monitoring.
The method's reliance on computational power and sensor data offers significant advantages.