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Unbiased zero-count correction method in low-dose high-resolution photon counting detector CT.

Daniel Bushe¹, Ran Zhang¹, Guang-Hong Chen^1,2

¹Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI 53705, United States of America.

Physics in Medicine and Biology

|May 3, 2023

Summary

A new method corrects zero-count issues in low-dose photon counting detector CT (PCD-CT) images. This approach minimizes statistical biases and preserves spatial resolution, improving image accuracy without added noise.

Keywords:

CT number bias low dose CT photon counting CT zero-counts

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Area of Science:

Medical Imaging Physics
Computed Tomography Technology
Photon Counting Detector Systems

Background:

Photon Counting Detector CT (PCD-CT) faces a zero-count problem in low-dose, high-resolution imaging.
Classical log transform methods for sinogram generation introduce statistical biases and require zero-count replacement.
Existing correction methods can degrade spatial resolution or fail to eliminate biases.

Purpose of the Study:

To develop a novel method for addressing the zero-count problem in low-dose PCD-CT.
To eliminate statistical biases without compromising spatial resolution.
To improve the accuracy of CT numbers in low-dose PCD-CT imaging.

Main Methods:

Analyzed statistical properties of zero-count replaced pre-log and post-log data.
Derived a formula for statistical sinogram bias.
Developed and empirically constructed a new sinogram estimator to cancel biases.
Learned free parameters from simulated data and validated on experimental low-dose PCD-CT data.
Quantified bias, noise, and spatial resolution impacts compared to existing methods.

Main Results:

The proposed method reduced statistical CT number biases to within ± 10 HU across all objects and dose levels.
Bland-Altman analysis showed negligible sinogram biases with the proposed method, unlike others.
No discernible impact on image noise or spatial resolution was observed.
Significantly lower biases compared to classical zero-count correction methods.

Conclusions:

The developed zero-count correction scheme effectively addresses biases in low-dose PCD-CT.
The method achieves CT number accuracy comparable to standard-dose images.
It offers a significant advancement for low-dose, high-resolution PCD-CT applications.