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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
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Radiation dose reduction techniques for chest CT: Principles and clinical results
Yoshiharu Ohno1, Hisanobu Koyama2, Shinichiro Seki1
1Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Japan; Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Japan.
European Journal of Radiology
|January 30, 2019
Summary
This review explores reducing radiation dose in chest computed tomography (CT) using image filtering and iterative reconstruction (IR). It assesses the clinical effectiveness of these low-dose CT methods for lung nodule detection and disease assessment.
Area of Science:
- Radiology
- Medical Imaging
- Thoracic Imaging
Background:
- Multidetector-row CT (MDCT) is crucial for diagnosing thoracic diseases.
- Increased MDCT use raises concerns about patient radiation dose exposure.
- Optimizing radiation dose while maintaining diagnostic image quality is essential.
Purpose of the Study:
- To review methods for limiting radiation dose in chest CT.
- To evaluate the clinical utility of reduced-dose CT protocols.
- To discuss the impact of iterative reconstruction (IR) on diagnostic accuracy and quantitative assessments.
Main Methods:
- Review of image filtering techniques for dose reduction.
- Analysis of iterative reconstruction (IR) algorithms in chest CT.
- Assessment of clinical applications of reduced-dose protocols.
Main Results:
- Reduced-dose protocols show promise for lung nodule detection and pulmonary thromboembolism diagnosis.
- The performance of low-dose CT for infiltrative lung disease assessment is discussed.
- IR algorithms impact computer-aided detection, volumetry, and quantitative/functional assessments.
Conclusions:
- Methods like image filtering and IR can significantly reduce radiation dose in chest CT.
- Reduced-dose protocols maintain diagnostic efficacy for key thoracic conditions.
- IR algorithms offer advancements in quantitative analysis and computer-aided diagnostic tools.
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