Impact of iterative reconstruction on image quality of low-dose CT of the lumbar spine

Abstract

Background

Iterative reconstruction (IR) is a recent reconstruction algorithm for computed tomography (CT) that can be used instead of the standard algorithm, filtered back projection (FBP), to reduce radiation dose and/or improve image quality.

Purpose

To evaluate and compare the image quality of low-dose CT of the lumbar spine reconstructed with IR to conventional FBP, without further reduction of radiation dose.

Material and Methods

Low-dose CT on 55 patients was performed on a Siemens scanner using 120 kV tube voltage, 30 reference mAs, and automatic dose modulation. From raw CT data, lumbar spine CT images were reconstructed with a medium filter (B41f) using FBP and four levels of IR (levels 2–5). Five reviewers scored all images on seven image quality criteria according to the European guidelines on quality criteria for CT, using a five-grade scale. A side-by-side comparison was also performed.

Results

There was significant improvement in image quality for IR (levels 2–4) compared to FBP. According to visual grading regression, odds ratios of all criteria with 95% confidence intervals for IR2, IR3, IR4, and IR5 were: 1.59 (1.39–1.83), 1.74 (1.51–1.99), 1.68 (1.46–1.93), and 1.08 (0.94–1.23), respectively. In the side-by-side comparison of all reconstructions, images with IR (levels 2–4) received the highest scores. The mean overall CTDI_vol was 1.70 mGy (SD 0.46; range, 1.01–3.83 mGy). Image noise decreased in a linear fashion with increased strength of IR.

Conclusion

Iterative reconstruction at levels 2, 3, and 4 improves image quality of low-dose CT of the lumbar spine compared to FPB.