Mean Glandular Dose and MTF in Mammography: Tube Potentials and Filters

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Journal name: The Malaysian Journal of Medical Sciences
Original article title: Evaluation of Mean Glandular Dose and Modulation Transfer Function for Different Tube Potentials and Target-Filter Combinations in Computed Radiography Mammography
The Malaysian Journal of Medical Sciences (MJMS) is a peer-reviewed, open-access journal published online at least six times a year. It covers all aspects of medical sciences and prioritizes high-quality research.
This page presents a generated summary with additional references; See source (below) for actual content.

Original source:

This page is merely a summary which is automatically generated hence you should visit the source to read the original article which includes the author, publication date, notes and references.

Author:

Siti Aishah Abdul Aziz,, Abdul Khaliq Mohd Saparudin, Ahmad Zaky Harun


The Malaysian Journal of Medical Sciences:

(A peer-reviewed, open-access journal)

Full text available for: Evaluation of Mean Glandular Dose and Modulation Transfer Function for Different Tube Potentials and Target-Filter Combinations in Computed Radiography Mammography

Year: 2013

Copyright (license): CC BY 4.0


Download the PDF file of the original publication


Summary of article contents:

Introduction

The medical community is increasingly concerned about the carcinogenic risk associated with radiation exposure during mammography. The mean glandular dose (MGD) is a critical measurement that indicates the average radiation absorbed by breast glandular tissue during these examinations. This study aims to evaluate the MGD and modulation transfer function (MTF) of various target-filter combinations in computed radiography (CR) mammography. Specifically, it investigates the signal intensities of X-ray beams produced using different target-filter combinations and tube voltages, focusing on their effects on dose and image quality.

Impact of Target-Filter Combinations on MGD

One of the significant findings of the study is that the choice of target-filter combinations significantly affects the MGD. Evaluations demonstrated that target-filter combinations of molybdenum-molybdenum (Mo-Mo), molybdenum-rhodium (Mo-Rh), and rhodium-rhodium (Rh-Rh) yielded varying MGD values, especially at different tube voltages of 26 kV and 32 kV. The MGD was recorded as being lower at 26 kV compared to 32 kV, with the Mo-Rh combination producing the lowest MGD values. The statistical analysis showed significant differences in MGD across the different filter combinations, highlighting that higher atomic number materials and higher tube voltages generally lead to increased MGD values without significant improvements in spatial resolution.

Conclusion

In conclusion, while higher tube voltages and the use of certain target-filter combinations tend to increase the MGD, the MTF results indicated that the resolution of different target-filter combinations remains consistent and does not significantly influence MGD values. Ultimately, the study suggests that suitable selection of target-filter materials, particularly the Mo-Rh combination, can reduce radiation exposure while maintaining image quality in mammography, thereby optimizing clinical outcomes for breast health screening. Further investigations are recommended to assess the actual intensities lost in X-ray spectra, especially concerning the aging of anodes in X-ray tubes.

FAQ section (important questions/answers):

What is the purpose of this study on target-filter combinations?

The study aims to evaluate the mean glandular dose (MGD) and modulation transfer function (MTF) of various target-filter combinations in computed radiography to assess their impact on radiation dose and image quality in mammography.

How were the MGD and MTF evaluated in this research?

The MGD was measured using a GE Senographe DMR Plus mammography unit and compared with dose reference levels, while the MTF was assessed using ImageJ software after exposing a modified Mammography Accreditation Phantom with different target-filter combinations.

What were the significant findings regarding the MGD values?

All target-filter combinations resulted in an MGD value of less than 1.5 mGy. A one-way ANOVA indicated significant interactions between MGD and kilovoltage as well as target-filter materials for both 26 kV and 32 kV.

Did the study find any differences in MTF across combinations?

The one-way ANOVA analysis for MTF revealed no significant differences among target-filter combinations used at both 26 kV and 32 kV, indicating the MTF remains consistent regardless of the target-filter conditions.

Glossary definitions and references:

Scientific and Ayurvedic Glossary list for “Mean Glandular Dose and MTF in Mammography: Tube Potentials and Filters”. This list explains important keywords that occur in this article and links it to the glossary for a better understanding of that concept in the context of Ayurveda and other topics.

1) Quality:
In the context of medical imaging and specifically mammography, quality refers to the overall performance of the imaging system, including contrast, noise, and spatial resolution. High-quality imaging is crucial for accurate diagnosis and early detection of breast cancer, ultimately improving patient outcomes.

2) Line:
The term line in this study is primarily associated with the line pair resolution test used to evaluate the modulation transfer function (MTF). This test helps assess the spatial resolution of mammography systems by determining how well the system can distinguish lines within the image.

3) Table:
Table data in this study summarizes the mean glandular dose (MGD) measurements and modulation transfer function (MTF) results for various target-filter combinations and tube voltages. It aids in comparing the effectiveness and safety of different imaging techniques in a structured manner.

4) Study (Studying):
This study investigates the mean glandular dose (MGD) and modulation transfer function (MTF) of various target-filter combinations in mammography, aiming to optimize imaging techniques to reduce cancer risk while maintaining image quality, demonstrating the importance of research in medical imaging.

5) Surface:
Surface refers to the entrance surface air kerma measurement related to the dose absorbed by the breast during mammography. The accuracy of surface measurements is critical to evaluate the potential risk of cancer associated with radiation exposure.

6) Measurement:
In this study, measurement pertains to quantifying the mean glandular dose (MGD) and modulation transfer function (MTF) using specific methodologies to assess quality in mammography. Accurate measurement is essential for ensuring compliance with safety regulations and improving overall imaging standards.

7) Dance:
Dance is mentioned as a reference to a researcher whose methodologies and findings help estimate mean glandular dose (MGD) in mammography. The dance protocol includes correction factors and estimations contributing to better understanding of radiation exposure and image quality.

8) Field:
Field size is relevant in the context of this study as it pertains to the area of exposure during mammography. The field size affects both the mean glandular dose (MGD) and the quality of images produced, which is crucial for effective diagnosis.

9) Noise:
Noise in imaging refers to random fluctuations that obscure true signals, affecting the quality of mammograms. A lower noise level results in clearer images, enhancing the chances of detecting cancerous lesions, emphasizing its significance in medical imaging.

10) Wall:
The term wall may relate to the chest wall in the context of mammography, where images are obtained both parallel and perpendicular to the chest wall. The orientation to the wall may influence the quality and dose metrics during imaging.

11) Performance:
Performance in this study evaluates how well the mammography system operates concerning spatial resolution and dose measurements. Good performance ensures accurate imaging for effective cancer diagnosis and patient safety.

12) Medicine:
Medicine is the overarching field within which this study is situated. It addresses the need for improved imaging techniques in diagnosing breast cancer and optimizing patient care through advanced imaging technology.

13) Relative:
Relative refers to the comparative nature of results in this study, especially concerning MGD values and MTF amongst different target-filter combinations. Understanding relative differences is critical for determining optimal conditions in mammography.

14) Post:
[see source text or glossary: post]

15) Cancer:
Cancer is the primary concern of this study, focusing on the risks associated with radiation dose during mammography. The goal is to minimize the absorbed dose while maximizing image quality to enhance early cancer detection.

16) Alam (Alaṁ):
Alam refers to a researcher whose work was referenced in this study. Their findings contribute to understanding the implications of radiation doses and their effects on imaging quality in mammography, reinforcing the study's credibility.

17) Java:
Java refers to the use of ImageJ, a powerful image analysis software implemented in Java, used in this research for processing and analyzing mammography images. It is vital for evaluating and ensuring high image quality.

18) Gold (Golden):
Gold is mentioned in the context of a specific resolution test pattern used in the study. The gold-nickel construction of the pattern aids in quality assessment and understanding of image resolution capabilities in mammography.

19) Wolf:
[see source text or glossary: wolf]

20) Transformation (Transform, Transforming):
Transformation in this study pertains to the use of Fourier Transformation (FT) to compute the modulation transfer function (MTF) based on line spread function measurements, crucial for understanding the spatial resolution of mammography images.

21) Discussion:
Discussion is an essential section in the study where findings are analyzed, compared to existing literature, and implications of the results are interpreted. It aids in deriving conclusions and recommendations for future research.

22) Science (Scientific):
Science underpins this study as it employs systematic methodologies to evaluate radiation doses and image quality in mammography, contributing to advancements in medical imaging and cancer screening protocols.

23) Reason:
Reason refers to the underlying motivations for conducting the study, including the need to optimize imaging techniques to balance radiation exposure risks with diagnostic quality, crucial for improving patient health outcomes.

24) Karsha (Karsa):
[see source text or glossary: karsa]

25) Rules:
Rules may reference established guidelines and standards for radiation doses in medical imaging that govern the safe practices in mammography. Such rules are critical in minimizing cancer risks while maintaining diagnostic efficacy.

Other Science Concepts:

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Discover the significance of concepts within the article: ‘Mean Glandular Dose and MTF in Mammography: Tube Potentials and Filters’. Further sources in the context of Science might help you critically compare this page with similair documents:

Dose, Resolution, Quality Control, Clinical outcome, Filtration, Dose reduction, One way ANOVA test, Signal intensity, Signal to noise ratio, Digital radiography, Screening, Breast tissue, Homogeneity of variance, European guidelines, Digital Imaging, DICOM format, Correction factor, Digital images, Image Processing, High-Energy X-rays, Reference value, Fourier transformation, Tukey post-hoc test, Radiation dose, ImageJ software, Image analysis, Diagnostic quality, Spatial resolution, Atomic number, Absorbed dose.

Concepts being referred in other categories, contexts and sources.

Minimum requirement, Effective energy, Characteristic energy.

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