The effect of varying kilovoltage (kVp) and tube current (mAs) on the image quality and dose of CTA head phantom / Sity Noor Ayseah Dzulkafli

Dzulkafli, Sity Noor Ayseah (2015) The effect of varying kilovoltage (kVp) and tube current (mAs) on the image quality and dose of CTA head phantom / Sity Noor Ayseah Dzulkafli. Masters thesis, Universiti Teknologi MARA.

Abstract

In this study, the effects of kilovoltages (kVp) and tube currents (mAs) on Computed Tomography Angiography (CTA) head phantom images were investigated quantitavely using ImageJ software due to insufficient understanding on the relationship between these parameters on CT image quality and doses. The objective of this study is to investigate the effect of kilovoltages (kVp) and tube current (mAs) parameters quantitatively on several parameters namely; 1) image quality 2) dose 3) Signal to Noise Ratio (SNR) and 4) contrast. The parameters have been varied during the CT scan examination and the results have been compared for each kilovoltages (kVp) and tube currents (mAs) using ImageJ software. In brief, varying the kilovoltages (kVp) and tube current (mAs) will enhance the image quality but will also increase the dose exposure to the patient. Higher doses are one of the problems that researchers have to overcome in patient diagnosis in order to have an optimum image quality with lower doses. The results include the relationship between the parameters and image quality and also dose in selected type or arteries; Anterior Cerebral Artery (ACA), Middle Cerebral Artery (MCA) and Internal Carotid Artery (ICA) in CTA. Decreasing kVp do increase image contrasts while increasing mAs play roles in reducing the noise of the image. Finally, the suggested parameters used for brain examination is 100 kVp with 360 mAs in line with the recommended CTDIvol dose value as in Computed Tomography European Guidelines.

Metadata

Item Type: Thesis (Masters)
Creators:
Creators
Email / ID Num.
Dzulkafli, Sity Noor Ayseah
UNSPECIFIED
Subjects: R Medicine > R Medicine (General) > Neural Networks (Computer). Artificial intelligence
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Health Sciences
Keywords: Kilovoltage (kVp); Tube current (mAs); Image quality; CTA head phantom
Date: 2015
URI: https://ir.uitm.edu.my/id/eprint/17806
Edit Item
Edit Item

Download

[thumbnail of TM_SITY NOOR AYSEAH DZULKAFLI HS 15_5.pdf]
Preview
Text
TM_SITY NOOR AYSEAH DZULKAFLI HS 15_5.pdf

Download (5MB) | Preview

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

17806

Indexing

Statistic

Statistic details