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A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

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Published on: June 23, 2023

A phenomenological kV beam model for cone-beam imaging.

Mandar S Bhagwat¹, Manuel Blessing, Yulia Lyatskaya

¹Department of Radiation Oncology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.

Physics in Medicine and Biology

|September 17, 2010

Summary

A new phenomenological model accurately characterizes X-ray beam attenuation and scatter for cone-beam imaging. This model improves radiographic image analysis and calibration techniques for computed tomography reconstruction.

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Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography

Preparation and Observation of Thick Biological Samples by Scanning Transmission Electron Tomography

Published on: March 12, 2017

Area of Science:

Medical Physics
Radiological Imaging
Computational Modeling

Background:

Accurate characterization of X-ray beams is crucial for quantitative radiographic imaging.
Attenuation and scatter significantly impact image quality and accuracy in cone-beam imaging.
Existing models may not fully capture the complexities of kV beam interactions with matter.

Purpose of the Study:

To develop a phenomenological model for kV X-ray beams to quantify attenuation and scatter.
To enable precise characterization of beam parameters and predict radiographic responses.
To improve calibration techniques for cone-beam computed tomography (CB-CT) reconstruction.

Main Methods:

Developed a phenomenological kV beam model using data from solid water phantoms.
Factorized detector response into output factor, tissue-air ratio, and off-axis ratio with analytical representations.
Extended model to arbitrary objects using water-equivalent pathlength and a Gaussian-based dose deposition kernel.

Main Results:

The model accurately predicts detector response for phantoms of varying thicknesses.
Scatter was found to contribute over 90% to the total signal in 20 cm thick phantoms.
Calculated scatter-to-primary ratios align with Monte Carlo simulations.

Conclusions:

The developed kV beam model effectively quantifies attenuation and scatter in radiographic images.
The model provides a basis for improved calibration techniques in CB-CT.
This approach can be generalized to characterize various kV beam lines.