To Evaluate The Image Quality In Pediatric Magnetic Resonance Brain Imaging At 1.5t

Abstract

Background: This research study titled "To Evaluate the Image Quality in Pediatric Magnetic Resonance Brain Imaging at 1.5T" aims to evaluate and enhance the diagnostic quality of pediatric MRI brain imaging acquired at 1.5 Tesla. This exploratory researchstudy focuses on optimizing imaging protocols and assessing key image quality parameters such as clarity, contrast, and the presence of artifacts in both the pre (conventional MR image) and post (after image quality improvement strategies application) in terms of overall image quality. Through a systematic and comparative review of images, the study seeks to identify potential improvements in clinical imaging practices, particularly in standard pediatric brain MRI. Method: This Exploratoryresearch employs a Comparative study design to compare the image quality in routine brain Magnetic Resonance Imaging (MRI) scans at 1.5T before and after implementing image quality improvement strategies. The study involved 21individualpediatric participant’s data (06 females and 15 males) aged 0-17 years who underwent MRI scans. Participants with any systemic disease, acute traumaand participants with absolute contraindications were excluded from the study. As part of the research methodology, independent image quality evaluations are conducted by two expert raters to ensure objectivity and consistency in analysis. Their assessments form the basis for statistical analysis of inter-rater agreement of kappa coherence statistics and contribute significantly to the study's findings on image quality standards and improvements. Result: This study aimed to evaluate inter-rater agreement on MRI image overall quality. The findings demonstrate the agreement between the two raters, with Cohen’s Kappa values indicating fair agreement for image clarity (κ = 0.38), fair agreement for overall image quality. Thekappa values suggest that subjective interpretation plays a role in evaluating specific image characteristics.This outcome underscores the effectiveness of intervention protocols aimed at optimizing image quality in clinical MRI practice.