Adaptive statistical iterative reconstruction for computed tomography of the spine

IntroductionThe utility of evaluating a sagittal view CT the spine is well-known. In many clinical cases, includes noise generated from surrounding objects and may degrade image quality. Iterative reconstruction (IR) techniques are useful for reduction; however, they can reduce spatial resolution. The aim this study was to evaluate effectiveness adaptive statistical iterative (ASiR) generating images when compared filtered back projection (FBP).MethodsThe quality 25 patients were subjectively assessed. Three radiologists rated resolution, noise, overall using five-point scale. For objective assessment, z-direction modulation transfer function (z-MTF) measured custom-made phantom. Additionally, z-axis power spectrum (z-NPS) water An improved algorithm called ASiR-V used in study. Blending levels 50%, 100% (ASiR-V50, ASiR-V100, respectively).ResultsFor subjective assessments, ASiR-V100 determined have best quality, despite having received worst score assessment ASiR-V50 curves slightly degraded terms low contrast z-MTF FBP.ConclusionASiR-V effective improve with FBP reviewing reformats spine.Implications practiceThis suggests that high resolution not only thing key spinal reformats. Such should be provided as part routine protocols, where available.