Comparative Analysis of Bilateral-Based Noise Reduction Algorithms in Low-Dose Pediatric Computed Tomographic Images

Background

Noise reduction in low-dose pediatric computed tomography (CT) requires effective suppression of quantum noise without compromising subtle anatomical structures. This study compared three bilateral-based noise reduction algorithms, namely the conventional bilateral filter (BF), adaptive BF (ABF), and trainable BF (TBF), using eight low-dose pediatric abdominal CT cases.

Methods