Initial Performance Characterization of a Clinical Noise–Suppressing Reconstruction Algorithm for MDCT

Abstract

We conclude that iDose is an important tool in the reduction of radiation dose in CT. However, continuous efforts to reduce radiation dose should be pursued.

Impact of a 4th Generation Iterative Reconstruction Technique on Image Quality in Low-Dose Computed Tomography of the Chest in Immunocompromised Patients

“…Higher conspicuity of small and subtle lesions may be explained by the iDose4™ algorithm, which penalizes noisy data while preserving the underlying edges associated with anatomical and pathological findings. These results are in concordance with those described in a prior phantom study, documenting the capability of iDose4™ to significantly reduce image noise while maintaining spatial resolution [16]. On the other hand, the final consensus reading of all data sets did not reveal any additional lesion that had been missed if FBP was used for low-dose MDCT ex- clusively.…”

Usefulness of Ultralow-Dose (Submillisievert) Chest CT Using Iterative Reconstruction for Initial Evaluation of Sharp Fish Bone Esophageal Foreign Body

“…As a result, it would be possible to keep image quality while reducing the radiation dose [17]. One report based on a systemic literature search stated that iterative reconstruction technique with low-dose setting and FBP technique with conventional-dose setting yielded similar image noise, artifact, and quantitative and qualitative image quality.…”

“…However, recent technologic advances of CT include iterative reconstruction technique, which prevents the photon starvation artifact and additional streak artifact before image creation with reduction of radiation dose [15,16]. A hybrid iterative reconstruction technique called iDose4 (Philips Healthcare) has been developed that can provide substantial improvement of image quality with reduced radiation dose [17,18]. We have recently accumulated experience with chest CT examinations using iDose4, and, empirically, we could deduce that high-density esophageal FB would be well detected on submillisievert CT examination with iDose4.…”

Impact of Hybrid Iterative Reconstruction on Agatston Coronary Artery Calcium Scores in Comparison to Filtered Back Projection in Native Cardiac CT

“…The raw data with the most noise are identified and corrected, while edges are retained. For this purpose, a "maximum likelihood denoising" algorithm based on Poisson distribution is applied [28]. In contrast, the technique employed by Gebhardt et al, ASIR (GE Healthcare, Chalfont St. Giles, United Kingdom), is based on a complete iteration in image data space.…”