Statistical Data Analysis of Signal-to-Noise Ratio in MRI and CT Scans
Year: 2025
Type: article
Abstract: The main focus of this study is to ascertain the differences between computed tomography and magnetic resonance imaging with respect to their signal-to-noise ratio (SNR) to optimize their diagnostic imaging. Owing to the significance of SNR in establishing image clarity and accuracy of diagnosis, the study is interested in investigating a practical dataset to understand SNR levels across the two imaging technologies and appreciate the potential of imaging factors in place to acquire time or slice thickness on such ratios. The study establishes that compared to CT, MRI obtains considerably higher SNR levels, which depicts variances between modalities in imaging professionalism and data gathering approaches. Therefore, there is practical significance in optimizing imaging protocols to augment diagnostic confidence and ultimately improve patient well-being. The research discussed the significance of varying parameters in contemporary diagnostic imaging and how such variables influence Imaging SNR, including those such as observation and technical challenges. There is an emphasis on the importance of the study in enlightening imaging technicians and radiologists regarding adapting their practices by establishing higher variables which impact image outcomes directly to the patient. Although higher variables cannot be referred to as a panacea, the study determines the potential use of such research in guiding greater quality improvement in diagnostic imaging, which considerably impacts hospital service quality and ultimately patient wellness.
Authors: Joseph Ozigis Akomodi, Maddisyn Neita, Samia Ahmed, Aiyana Parnell, Aaliyah Taylor
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7080128438