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Related Experiment Video

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AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

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Modification of Green's one-step-late algorithm for attenuated emission data.

Gengsheng L Zeng^1,2

¹Department of Engineering, Weber State University, Ogden, Utah 84408, United States of America.

Biomedical Physics & Engineering Express

|May 1, 2020

Summary

This summary is machine-generated.

This study improves Green's one-step-late (OSL) algorithm for emission tomography by addressing non-stationary regularization. The modified algorithm achieves stationary regularization and shows similarities to gradient descent methods.

Keywords:

emission tomography image reconstruction iterative image reconstruction algorithm maximum-likelihood expectation-maximization noise regularization tomography

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Area of Science:

Medical Imaging
Computational Science

Background:

Green's one-step-late (OSL) algorithm is widely used for image reconstruction in emission tomography.
A key limitation of OSL is its convergence issues and non-stationary regularization when modeling attenuation in single photon emission computed tomography (SPECT).

Purpose of the Study:

To propose a modification to Green's OSL algorithm to achieve stationary regularization.
To analyze the relationship between the modified OSL algorithm and gradient descent methods.

Main Methods:

Modification of Green's OSL algorithm to incorporate stationary regularization.
Comparative analysis of the modified OSL algorithm with gradient descent.

Main Results:

The proposed modification successfully yields stationary regularization in Green's OSL algorithm.
Similarities were observed between the modified OSL algorithm and gradient descent algorithms.

Conclusions:

The modified Green's OSL algorithm offers an improved approach for SPECT image reconstruction.
The observed similarities suggest potential for further optimization and theoretical understanding.