Optimization of Intelligent Grid Strength and Grid Ratio to Improve Pelvic Radiographic Image Quality in Digital Radiography
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Pelvic radiography is an essential diagnostic procedure; however, its image quality is often degraded by scattered radiation, which reduces contrast and diagnostic accuracy. Conventional physical grids can reduce scatter but have limitations, including increased patient dose and workflow constraints, particularly in mobile radiography. The Intelligent Grid, a digital scatter correction technology, provides a promising alternative, yet the optimal combination of grid ratio and strength parameters remains unclear. This study aims to optimize the strength and grid ratio of the Intelligent Grid to improve pelvic radiographic image quality. This study introduces a novel quantitative optimization approach that systematically integrates grid ratio and strength variations within the Intelligent Grid system to enhance pelvic radiographic image quality in digital radiography. A quantitative experimental approach with a post-test only design was conducted using a mobile X-ray system, digital radiography, an Aero DR detector, and pelvic phantoms. Data were acquired by performing anteroposterior pelvic radiography exposures (60 kV & 10 mAs) with the Intelligent Grid. Strength variations (slightly strong, normal, slightly weak) and grid ratios (3:1, 6:1, 8:1, 10:1, 12:1) were applied to generate different parameter combinations. Image quality was evaluated quantitatively (histogram and SNR) and qualitatively through visual grading by three radiologists. Statistical analysis was performed using Repeated ANOVA and Friedman tests. Statistical analysis showed significant differences (p < 0.001) in pelvic radiographic image quality across Intelligent Grid ratio and strength combinations. The 12:1 grid ratio with slightly strong strength yielded the highest mean SNR, balanced grayscale distribution, and top visual grading scores, confirming its optimal performance in enhancing image contrast and anatomical visibility of the iliac contour, acetabulum, and pubic symphysis. In conclusion, optimal adjustment of Intelligent Grid strength and grid ratio parameters can substantially improve pelvic radiographic image quality, providing a practical alternative to conventional physical grids in digital radiography
Copyright (c) 2026 Fani Susanto, Hernastiti Sedya Utami, Kusnanto Mukti Wibowo, Samudra Prihatin Hendra Basuki, Widya Mufida, Nurul Fadhlina Binti Ismail (Author)
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