Litcius/Paper detail

Investigating the slice thickness effect on noise and diagnostic content of single-source multi-slice computerized axial tomography

Nashwan Karkhi Abdulkareem, Shereen Ismail Hajee, Fatiheea Fatihalla Hassan, Ilham Khalid Ibrahim, Ruaa Emad Hussein Al-Khalidi, Noor Abubaker Abdulqader

2023Journal of Medicine and Life16 citationsDOIOpen Access PDF

Abstract

High-quality and detailed CT scan images are crucial for accurate diagnosis. Factors such as image noise and slice thickness affect image quality. This study aimed to determine the optimal slice thickness that minimized image noise while maintaining sufficient diagnostic information using the single-source computed tomography head protocol. Single-source CT images were examined using the Linux Operating system Ge Revolution 64-slice CT scanner, and a combination of statical analysis and DICOM CT image analysis was employed. The single-source energy head CT protocol was used to investigate the effect of slice thickness on noise and visibility in images. Different values of slice thickness 0.625, 1.25, 2.5, 3.75, 5, 7.5, and 10 were prepared, and then quantitative analysis was performed. Thinner slice thickness decreased image noise, increased visibility, and improved detection. Therefore, the balance between changing the thickness of the slice with the diagnostic content and image noise must be considered. Maximum slice thickness enhances CT image detail and structure despite more noise. Based on the results, a slice thickness of 1.25mm was identified as the optimal choice for reducing image noise and achieving better and more accurate detection using the single-source computed tomography head protocol. The study revealed that image noise tends to increase with greater slice thickness according to the Linux operating system. These findings can serve as a valuable guide for quality control methods in CT centers, emphasizing the need to determine the appropriate slice thickness to ensure an accurate diagnosis.

Topics & Concepts

ScannerImage qualityNoise (video)Image noiseWaferVisibilityTomographyComputer scienceArtificial intelligenceBiomedical engineeringComputer visionMaterials scienceImage (mathematics)OpticsMedicineRadiologyPhysicsNanotechnologyAdvanced X-ray and CT ImagingRadiation Dose and ImagingMedical Imaging Techniques and Applications