ArticleJapanese journal of radiology2026
Evaluation of image quality in pediatric portable chest radiographs using AI-based noise reduction and edge enhancement.
Article in Japanese journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Performance of Commercial Deep Learning-Based Radiation Dose Optimization Software in Pediatric Radiology: A Systematic Review.Children (Basel, Switzerland) · 2026Review
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8 authors.
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Abstract
purposeTo evaluate the image quality of pediatric portable chest radiographs processed using a deep learning-based noise reduction (NR) algorithm implemented in clinical radiography systems, which is designed to reduce image noise without altering radiation dose, both alone and with edge enhancement. MATERIALS AND
methodsThis retrospective visual grading analysis included 101 pediatric patients (median age: 33 days; median weight: 2844 g) who underwent portable chest radiography. Each image was processed using four techniques: (1) standard (no processing), (2) edge enhancement only, (3) NR only, and (4) NR with edge enhancement. Image quality was assessed using five criteria: visualization of proximal bronchi, small peripheral airways, vertebrae, image noise, and overall image quality. In an anonymous, randomized review, two pediatric radiologists rated each criterion using a 5-point Likert scale. Statistical comparisons were conducted between processing methods.
resultsImages processed with NR and edge enhancement (NR + /Filter +) achieved the highest mean scores across all criteria. Structural visibility-particularly of small peripheral airways, proximal bronchi, and vertebrae-showed significant improvement with edge enhancement (p < 0.0001). No significant difference in image noise was observed between NR-only and NR + /Filter + groups (p = 0.482).
conclusionAI-based noise reduction significantly improves image quality by reducing noise. Although edge enhancement does not further suppress noise, it improves the visibility of delicate anatomical structures. This combined approach may enhance diagnostic confidence in neonatal chest radiography, particularly under low-dose conditions.
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