Large Area Thin-Film CdTe as the Next-Generation X-Ray Detector for Medical Imaging Applications

Akbari, Fatemeh; Parsai, E; Shvydka, Diana

doi:10.1007/978-3-031-20955-0_2

Cited by 2 publications

(1 citation statement)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Machine learning techniques should be well adapted to produce the missing values for various target materials, including thin films, and expanded ranges of energies. LiF, one of the most popular thermoluminescent detectors, or CdTe, which is regarded as the next‐generation x‐ray detector in medical imaging applications 34 are examples of such missing data. This extensive collection of easily accessible data enables researchers to develop sophisticated Monte Carlo simulations of electron‐solid interactions and validate their predictions.…”

Section: Discussionmentioning

confidence: 99%

A comprehensive open‐access database of electron backscattering coefficients for energies ranging from 0.1 keV to 15 MeV

Akbari

2023

Medical Physics

Self Cite

View full text Add to dashboard Cite

PurposeThe characterization of electron backscattering is essential in medical physics for accurately assessing dose deposited around inhomogeneities where backscattering alters the spatial energy distribution pattern and for determining Monte‐Carlo code's ability to effectively describe electron scattering and does calculation in a target volume. Recent machine learning advances have provided physicists with powerful tools for effectively extracting information and trends from extensive experiment observations if sufficiently sizeable datasets are available for data mining. We report on the development of a publicly accessible database on electron backscattering coefficients for solid targets.Acquisition and validation methodsThe first database on electron‐solid interactions was assembled in 1995. Data for bulk materials, limited to normal incidence and energies up to 100 keV, were primarily focusing on electron microscopy. To accommodate broad high‐energy applications and include the most recent publications we have created a comprehensive database of electron backscattering coefficients, listed as a function of target atomic number and thickness, electron energy, and incidence angle. These additions resulted in a database of 3566 data points, compared to the previous database of 1430. The data collection includes only published experimental observations (no calculations or results fitting) with no attempt to judge their accuracy or quality. A limited number of data points were compared to recently published Monte‐Carlo results.Data format and usage notesThe presented database provides values of electron backscattering coefficients for 50 elements and 19 compounds at electron energies ranging from 0.1 keV to 15 MeV, presented in ASCII files. Each file contains the electron energy and backscattering coefficient with target thickness or electron incidence angle included where available, and the reference number shown in the last column. Additionally, the presented data were shown in the graphs for better visualization. The online database can be accessed from the website https://doi.org/10.5281/zenodo.7810951.Potential applicationsThe database provides the most up‐to‐date source of experimentally obtained electron backscattering coefficients that can be used in theoretical and MC calculations and modeling validations. The data availability is still very limited for many solids and almost non‐existent for compounds. Novel machine learning methods should be well adapted to predict these unknown values for various targets, thicknesses, energies, and incident angles utilizing the presented cleaned dataset.

show abstract

Section: Discussionmentioning

confidence: 99%

A comprehensive open‐access database of electron backscattering coefficients for energies ranging from 0.1 keV to 15 MeV

Akbari

2023

Medical Physics

Self Cite

View full text Add to dashboard Cite

show abstract

Bromine‐Enhanced Organic Materials for X‐ray Sensors: Unveiling the Potential of Small Molecules and Polymers through Material Design and Film Fabrication

Dobužinskas,

Poškus,

Jankauskas

et al. 2024

Advanced Sensor Research

View full text Add to dashboard Cite

Organic X‐ray sensors are a promising new class of detectors with the potential to revolutionize medical imaging, security screening, and other applications. However, the development of high‐performance organic X‐ray sensors is challenged by low sensitivity. This paper reports on the development of nine X‐ray sensors based on new organic materials. It is demonstrated that the incorporation of bromine atoms into the sidechains of carbazolyl‐containing organic molecules significantly enhances their X‐ray sensitivity. This research suggests that incorporating a variety of high‐atomic‐number chemical elements into well‐established organic semiconductors is a promising strategy for designing efficient X‐ray sensor materials.

show abstract

Large Area Thin-Film CdTe as the Next-Generation X-Ray Detector for Medical Imaging Applications

Cited by 2 publications

References 58 publications

A comprehensive open‐access database of electron backscattering coefficients for energies ranging from 0.1 keV to 15 MeV

A comprehensive open‐access database of electron backscattering coefficients for energies ranging from 0.1 keV to 15 MeV

Bromine‐Enhanced Organic Materials for X‐ray Sensors: Unveiling the Potential of Small Molecules and Polymers through Material Design and Film Fabrication

Contact Info

Product

Resources

About